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Hybridizations in line balancing problems: A comprehensive review on new trends and formulations

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  • Battaïa, Olga
  • Dolgui, Alexandre

Abstract

In the research on production economics, line balancing is an intensively studied combinatorial optimisation problem. In our previous comprehensive survey on line balancing problems published in 2013 in the International Journal of Production Economics, we compared input data modelling approaches, constraints and objective functions used in more 300 studies mostly published from 2007 to 2012. Ten years after, line balancing problems still attract high attention from both academia and practice. The aim of this review is to analyse actual formulations that are more and more frequently hybridized with other optimisation problems such as process planning, workforce planning and/or resource scheduling in order to create efficient solutions for customized production environments adapted for volatile markets. This presentation of the state of the art is based on a review of more than 500 articles published in refereed journals between 2012 and 2022.

Suggested Citation

  • Battaïa, Olga & Dolgui, Alexandre, 2022. "Hybridizations in line balancing problems: A comprehensive review on new trends and formulations," International Journal of Production Economics, Elsevier, vol. 250(C).
    • Handle: RePEc:eee:proeco:v:250:y:2022:i:c:s0925527322002559
    DOI: 10.1016/j.ijpe.2022.108673
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    as
    1. Öncü Hazir & Maher Agi & Jérémy Guérin, 2021. "An efficient branch and bound algorithm for smoothing the workloads on simple assembly lines," Post-Print hal-03160641, HAL.
    2. Nima Hamta & M. Akbarpour Shirazi & S.M.T. Fatemi Ghomi & Sara Behdad, 2015. "Supply chain network optimization considering assembly line balancing and demand uncertainty," International Journal of Production Research, Taylor & Francis Journals, vol. 53(10), pages 2970-2994, May.
    3. Ashish Yadav & Pawan Verma & Sunil Agrawal, 2020. "Mixed model two sided assembly line balancing problem: an exact solution approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(2), pages 335-348, July.
    4. Lopes, Thiago Cantos & Pastre, Giuliano Vidal & Michels, Adalberto Sato & Magatão, Leandro, 2020. "Flexible multi-manned assembly line balancing problem: Model, heuristic procedure, and lower bounds for line length minimization," Omega, Elsevier, vol. 95(C).
    5. Glock, C. H. & Grosse, E. H. & Jaber, M. Y. & Smunt, T. L., 2019. "Applications of learning curves in production and operations management: A systematic literature review," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 115512, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Yilin Fang & Hao Ming & Miqing Li & Quan Liu & Duc Truong Pham, 2020. "Multi-objective evolutionary simulated annealing optimisation for mixed-model multi-robotic disassembly line balancing with interval processing time," International Journal of Production Research, Taylor & Francis Journals, vol. 58(3), pages 846-862, February.
    7. Seda Hezer & Yakup Kara, 2015. "A network-based shortest route model for parallel disassembly line balancing problem," International Journal of Production Research, Taylor & Francis Journals, vol. 53(6), pages 1849-1865, March.
    8. Nícolas P. Campana & Manuel Iori & Mayron César O. Moreira, 2022. "Mathematical models and heuristic methods for the assembly line balancing problem with hierarchical worker assignment," International Journal of Production Research, Taylor & Francis Journals, vol. 60(7), pages 2193-2211, April.
    9. Yiyun Tao & Kai Meng & Peihuang Lou & Xianghui Peng & Xiaoming Qian, 2019. "Joint decision-making on automated disassembly system scheme selection and recovery route assignment using multi-objective meta-heuristic algorithm," International Journal of Production Research, Taylor & Francis Journals, vol. 57(1), pages 124-142, January.
    10. Thiago Cantos Lopes & Celso Gustavo Stall Sikora & Adalberto Sato Michels & Leandro Magatão, 2020. "An iterative decomposition for asynchronous mixed-model assembly lines: combining balancing, sequencing, and buffer allocation," International Journal of Production Research, Taylor & Francis Journals, vol. 58(2), pages 615-630, January.
    11. Xu, Shuling & Hall, Nicholas G., 2021. "Fatigue, personnel scheduling and operations: Review and research opportunities," European Journal of Operational Research, Elsevier, vol. 295(3), pages 807-822.
    12. John F. Wellington & Stephen A. Lewis, 2018. "Interactive Excel-Based Procedure for Line Balancing," INFORMS Transactions on Education, INFORMS, vol. 19(1), pages 23-35, September.
    13. Sihan Huang & Yan Yan, 2020. "Design of delayed reconfigurable manufacturing system based on part family grouping and machine selection," International Journal of Production Research, Taylor & Francis Journals, vol. 58(14), pages 4471-4488, July.
    14. Martina Calzavara & Alessandro Persona & Fabio Sgarbossa & Valentina Visentin, 2019. "A model for rest allowance estimation to improve tasks assignment to operators," International Journal of Production Research, Taylor & Francis Journals, vol. 57(3), pages 948-962, February.
    15. Mossa, G. & Boenzi, F. & Digiesi, S. & Mummolo, G. & Romano, V.A., 2016. "Productivity and ergonomic risk in human based production systems: A job-rotation scheduling model," International Journal of Production Economics, Elsevier, vol. 171(P4), pages 471-477.
    16. Zikai Zhang & Qiuhua Tang & Zixiang Li & Liping Zhang, 2019. "Modelling and optimisation of energy-efficient U-shaped robotic assembly line balancing problems," International Journal of Production Research, Taylor & Francis Journals, vol. 57(17), pages 5520-5537, September.
    17. Mohand Lounes Bentaha & Olga Battaïa & Alexandre Dolgui, 2015. "An exact solution approach for disassembly line balancing problem under uncertainty of the task processing times," International Journal of Production Research, Taylor & Francis Journals, vol. 53(6), pages 1807-1818, March.
    18. Alexandre Dolgui & Fabio Sgarbossa & Marco Simonetto, 2022. "Design and management of assembly systems 4.0: systematic literature review and research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 60(1), pages 184-210, January.
    19. Muh. Khoirul Khakim Habibi & Olga Battaïa & Van-Dat Cung & Alexandre Dolgui & Manoj Kumar Tiwari, 2019. "Sample average approximation for multi-vehicle collection–disassembly problem under uncertainty," International Journal of Production Research, Taylor & Francis Journals, vol. 57(8), pages 2409-2428, April.
    20. Emre Cevikcan & Dicle Aslan & Fatma Betul Yeni, 2020. "Disassembly line design with multi-manned workstations: a novel heuristic optimisation approach," International Journal of Production Research, Taylor & Francis Journals, vol. 58(3), pages 649-670, February.
    21. Martina Calzavara & Daria Battini & David Bogataj & Fabio Sgarbossa & Ilenia Zennaro, 2020. "Ageing workforce management in manufacturing systems: state of the art and future research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 58(3), pages 729-747, February.
    22. Yuchen Li & Ibrahim Kucukkoc & Xiaowen Tang, 2021. "Two-sided assembly line balancing that considers uncertain task time attributes and incompatible task sets," International Journal of Production Research, Taylor & Francis Journals, vol. 59(6), pages 1736-1756, March.
    23. Christoph Müller & Martin Grunewald & Thomas Stefan Spengler, 2018. "Redundant configuration of robotic assembly lines with stochastic failures," International Journal of Production Research, Taylor & Francis Journals, vol. 56(10), pages 3662-3682, May.
    24. Youssef Lahrichi & Laurent Deroussi & Nathalie Grangeon & Sylvie Norre, 2021. "A balance-first sequence-last algorithm to design RMS: a matheuristic with performance guaranty to balance reconfigurable manufacturing systems," Journal of Heuristics, Springer, vol. 27(1), pages 107-132, April.
    25. Olga Battaïa & Alexandre Dolgui & Nikolai Guschinsky, 2017. "Decision support for design of reconfigurable rotary machining systems for family part production," International Journal of Production Research, Taylor & Francis Journals, vol. 55(5), pages 1368-1385, March.
    26. Maurizio Faccio & Mauro Gamberi & Marco Bortolini, 2016. "Hierarchical approach for paced mixed-model assembly line balancing and sequencing with jolly operators," International Journal of Production Research, Taylor & Francis Journals, vol. 54(3), pages 761-777, February.
    27. Hager Triki & Ahmed Mellouli & Faouzi Masmoudi, 2017. "A multi-objective genetic algorithm for assembly line resource assignment and balancing problem of type 2 (ALRABP-2)," Journal of Intelligent Manufacturing, Springer, vol. 28(2), pages 371-385, February.
    28. Pâmela M.C. Cortez & Alysson M. Costa, 2015. "Sequencing mixed-model assembly lines operating with a heterogeneous workforce," International Journal of Production Research, Taylor & Francis Journals, vol. 53(11), pages 3419-3432, June.
    29. Olga Battaïa & Alexandre Dolgui & Sunderesh S. Heragu & Semyon M. Meerkov & Manoj Kumar Tiwari, 2018. "Design for manufacturing and assembly/disassembly: joint design of products and production systems," International Journal of Production Research, Taylor & Francis Journals, vol. 56(24), pages 7181-7189, December.
    30. Manuel Chica & Joaquín Bautista & Jesica de Armas, 2019. "Benefits of robust multiobjective optimization for flexible automotive assembly line balancing," Flexible Services and Manufacturing Journal, Springer, vol. 31(1), pages 75-103, March.
    31. Borba, Leonardo & Ritt, Marcus & Miralles, Cristóbal, 2018. "Exact and heuristic methods for solving the Robotic Assembly Line Balancing Problem," European Journal of Operational Research, Elsevier, vol. 270(1), pages 146-156.
    32. Serena Finco & Mohammed-Amine Abdous & Martina Calzavara & Daria Battini & Xavier Delorme, 2021. "A bi-objective model to include workers’ vibration exposure in assembly line design," International Journal of Production Research, Taylor & Francis Journals, vol. 59(13), pages 4017-4032, July.
    33. Yahui Zhang & Xiaofeng Hu & Chuanxun Wu, 2018. "A modified multi-objective genetic algorithm for two-sided assembly line re-balancing problem of a shovel loader," International Journal of Production Research, Taylor & Francis Journals, vol. 56(9), pages 3043-3063, May.
    34. Jordi Pereira, 2015. "Empirical evaluation of lower bounding methods for the simple assembly line balancing problem," International Journal of Production Research, Taylor & Francis Journals, vol. 53(11), pages 3327-3340, June.
    35. Tobias Mönch & Arnd Huchzermeier & Peter Bebersdorf, 2022. "Variable takt time groups and workload equilibrium," International Journal of Production Research, Taylor & Francis Journals, vol. 60(5), pages 1535-1552, March.
    36. Lai, Tsung-Chyan & Sotskov, Yuri N. & Dolgui, Alexandre & Zatsiupa, Aksana, 2016. "Stability radii of optimal assembly line balances with a fixed workstation set," International Journal of Production Economics, Elsevier, vol. 182(C), pages 356-371.
    37. Abdolreza Roshani & Massimo Paolucci & Davide Giglio & Flavio Tonelli, 2021. "A hybrid adaptive variable neighbourhood search approach for multi-sided assembly line balancing problem to minimise the cycle time," International Journal of Production Research, Taylor & Francis Journals, vol. 59(12), pages 3696-3721, June.
    38. Yahui Zhang & Xiaofeng Hu & Chuanxun Wu, 2020. "Improved imperialist competitive algorithms for rebalancing multi-objective two-sided assembly lines with space and resource constraints," International Journal of Production Research, Taylor & Francis Journals, vol. 58(12), pages 3589-3617, June.
    39. Li, Mingxing & Huang, George Q., 2021. "Production-intralogistics synchronization of industry 4.0 flexible assembly lines under graduation intelligent manufacturing system," International Journal of Production Economics, Elsevier, vol. 241(C).
    40. Pape, Tom, 2015. "Heuristics and lower bounds for the simple assembly line balancing problem type 1: Overview, computational tests and improvements," European Journal of Operational Research, Elsevier, vol. 240(1), pages 32-42.
    41. Serena Finco & Daria Battini & Xavier Delorme & Alessandro Persona & Fabio Sgarbossa, 2020. "Workers’ rest allowance and smoothing of the workload in assembly lines," International Journal of Production Research, Taylor & Francis Journals, vol. 58(4), pages 1255-1270, February.
    42. Gamberini, Rita & Grassi, Andrea & Rimini, Bianca, 2006. "A new multi-objective heuristic algorithm for solving the stochastic assembly line re-balancing problem," International Journal of Production Economics, Elsevier, vol. 102(2), pages 226-243, August.
    43. Jens Buergin & Philippe Blaettchen & Juri Kronenbitter & Katharina Molzahn & Yannick Schweizer & Caroline Strunz & Manuel Almagro & Frank Bitte & Stephan Ruehr & Marcello Urgo & Gisela Lanza, 2019. "Robust assignment of customer orders with uncertain configurations in a production network for aircraft manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 57(3), pages 749-763, February.
    44. Shyamal Samant & Varinder Kumar Mittal & Ravi Prakash, 2018. "Resource optimisation for an automobile chassis manufacturer through value stream mapping enhanced with simulation technique and constraint programming," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 28(3), pages 379-401.
    45. Boysen, Nils & Fliedner, Malte & Scholl, Armin, 2007. "A classification of assembly line balancing problems," European Journal of Operational Research, Elsevier, vol. 183(2), pages 674-693, December.
    46. Eduardo Álvarez-Miranda & Sebastián Chace & Jordi Pereira, 2021. "Assembly line balancing with parallel workstations," International Journal of Production Research, Taylor & Francis Journals, vol. 59(21), pages 6486-6506, November.
    47. Daria Battini & Martina Calzavara & Alena Otto & Fabio Sgarbossa, 2017. "Preventing ergonomic risks with integrated planning on assembly line balancing and parts feeding," International Journal of Production Research, Taylor & Francis Journals, vol. 55(24), pages 7452-7472, December.
    48. Bahman Naderi & Ahmed Azab & Katayoun Borooshan, 2019. "A realistic multi-manned five-sided mixed-model assembly line balancing and scheduling problem with moving workers and limited workspace," International Journal of Production Research, Taylor & Francis Journals, vol. 57(3), pages 643-661, February.
    49. Yakup Atasagun & Yakup Kara & Gözde Can Atasagun, 2019. "Achieving Shojinka by Integrated Balancing of Multiple Straight Lines with Resource Dependent Task Times," International Series in Operations Research & Management Science, in: Turan Paksoy & Gerhard-Wilhelm Weber & Sandra Huber (ed.), Lean and Green Supply Chain Management, pages 253-273, Springer.
    50. E. C. Sewell & S. H. Jacobson, 2012. "A Branch, Bound, and Remember Algorithm for the Simple Assembly Line Balancing Problem," INFORMS Journal on Computing, INFORMS, vol. 24(3), pages 433-442, August.
    51. In-Jae Jeong & Sumin Jeon, 2021. "Balanceability of a work-sharing line using floating workers and its comparison with floating work strategy," International Journal of Production Research, Taylor & Francis Journals, vol. 59(19), pages 5903-5912, October.
    52. Özceylan, Eren & Paksoy, Turan & Bektaş, Tolga, 2014. "Modeling and optimizing the integrated problem of closed-loop supply chain network design and disassembly line balancing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 142-164.
    53. Utku Girit & Meral Azizoğlu, 2021. "Rebalancing the assembly lines with total squared workload and total replacement distance objectives," International Journal of Production Research, Taylor & Francis Journals, vol. 59(22), pages 6702-6720, November.
    54. Peter Bebersdorf & Arnd Huchzermeier, 2022. "Takt Time Groups in the Variable Takt," Management for Professionals, in: Variable Takt Principle, chapter 5, pages 133-161, Springer.
    55. Kucukkoc, Ibrahim & Li, Zixiang & Karaoglan, Aslan D. & Zhang, David Z., 2018. "Balancing of mixed-model two-sided assembly lines with underground workstations: A mathematical model and ant colony optimization algorithm," International Journal of Production Economics, Elsevier, vol. 205(C), pages 228-243.
    56. Margaretha Gansterer & Richard F. Hartl, 2018. "One- and two-sided assembly line balancing problems with real-world constraints," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 3025-3042, April.
    57. Bukchin, Yossi & Raviv, Tal, 2018. "Constraint programming for solving various assembly line balancing problems," Omega, Elsevier, vol. 78(C), pages 57-68.
    58. Tiacci, Lorenzo, 2015. "Coupling a genetic algorithm approach and a discrete event simulator to design mixed-model un-paced assembly lines with parallel workstations and stochastic task times," International Journal of Production Economics, Elsevier, vol. 159(C), pages 319-333.
    59. Vivek Vijayakumar & Fabio Sgarbossa & W. Patrick Neumann & Ahmad Sobhani, 2022. "Framework for incorporating human factors into production and logistics systems," International Journal of Production Research, Taylor & Francis Journals, vol. 60(2), pages 402-419, January.
    60. Imad Belassiria & Mohamed Mazouzi & Said ELfezazi & Anass Cherrafi & Zakaria ELMaskaoui, 2018. "An integrated model for assembly line re-balancing problem," International Journal of Production Research, Taylor & Francis Journals, vol. 56(16), pages 5324-5344, August.
    61. Kürşad Ağpak & Saeed Zolfaghari, 2015. "Mathematical models for parallel two-sided assembly line balancing problems and extensions," International Journal of Production Research, Taylor & Francis Journals, vol. 53(4), pages 1242-1254, February.
    62. Zixiang Li & Mukund Nilakantan Janardhanan & S. G. Ponnambalam, 2021. "Cost-oriented robotic assembly line balancing problem with setup times: multi-objective algorithms," Journal of Intelligent Manufacturing, Springer, vol. 32(4), pages 989-1007, April.
    63. Tiacci, Lorenzo & Mimmi, Mario, 2018. "Integrating ergonomic risks evaluation through OCRA index and balancing/sequencing decisions for mixed model stochastic asynchronous assembly lines," Omega, Elsevier, vol. 78(C), pages 112-138.
    64. Sikora, Celso Gustavo Stall & Lopes, Thiago Cantos & Magatão, Leandro, 2017. "Traveling worker assembly line (re)balancing problem: Model, reduction techniques, and real case studies," European Journal of Operational Research, Elsevier, vol. 259(3), pages 949-971.
    65. Pereira, Jordi & Álvarez-Miranda, Eduardo, 2018. "An exact approach for the robust assembly line balancing problem," Omega, Elsevier, vol. 78(C), pages 85-98.
    66. Olga Battaïa & Alexandre Dolgui & Nikolai Guschinsky & Genrikh Levin, 2014. "Combinatorial techniques to optimally customize an automated production line with rotary transfer and turrets," IISE Transactions, Taylor & Francis Journals, vol. 46(9), pages 867-879, September.
    67. F. Tevhide Altekin, 2017. "A comparison of piecewise linear programming formulations for stochastic disassembly line balancing," International Journal of Production Research, Taylor & Francis Journals, vol. 55(24), pages 7412-7434, December.
    68. Wucheng Yang & Wenming Cheng, 2020. "A Mathematical Model and a Simulated Annealing Algorithm for Balancing Multi-manned Assembly Line Problem with Sequence-Dependent Setup Time," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-16, May.
    69. Christoph Müller & Martin Grunewald & Thomas S. Spengler, 2017. "Redundant configuration of automated flow lines based on “Industry 4.0”-technologies," Journal of Business Economics, Springer, vol. 87(7), pages 877-898, October.
    70. Glock, C. H. & Grosse, E. H., 2015. "Decision support models for production ramp-up: A systematic literature review," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 74024, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    71. Jiage Huo & Zhengxu Wang & Felix T. S. Chan & Carman K. M. Lee & Jan Ola Strandhagen, 2018. "Assembly Line Balancing Based on Beam Ant Colony Optimisation," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-17, October.
    72. Battaïa, Olga & Dolgui, Alexandre, 2013. "A taxonomy of line balancing problems and their solutionapproaches," International Journal of Production Economics, Elsevier, vol. 142(2), pages 259-277.
    73. Yılmaz Delice & Emel Kızılkaya Aydoğan & Uğur Özcan & Mehmet Sıtkı İlkay, 2017. "A modified particle swarm optimization algorithm to mixed-model two-sided assembly line balancing," Journal of Intelligent Manufacturing, Springer, vol. 28(1), pages 23-36, January.
    74. Neumann, W. Patrick & Winkelhaus, Sven & Grosse, Eric H. & Glock, Christoph H., 2021. "Industry 4.0 and the human factor – A systems framework and analysis methodology for successful development," International Journal of Production Economics, Elsevier, vol. 233(C).
    75. Mehmet Pınarbaşı & Mustafa Yüzükırmızı & Bilal Toklu, 2016. "Variability modelling and balancing of stochastic assembly lines," International Journal of Production Research, Taylor & Francis Journals, vol. 54(19), pages 5761-5782, October.
    76. Delorme, Xavier & Dolgui, Alexandre & Kovalev, Sergey & Kovalyov, Mikhail Y., 2019. "Minimizing the number of workers in a paced mixed-model assembly line," European Journal of Operational Research, Elsevier, vol. 272(1), pages 188-194.
    77. Parames Chutima, 2022. "A comprehensive review of robotic assembly line balancing problem," Journal of Intelligent Manufacturing, Springer, vol. 33(1), pages 1-34, January.
    78. Alexander Biele & Lars Mönch, 2018. "Hybrid approaches to optimize mixed-model assembly lines in low-volume manufacturing," Journal of Heuristics, Springer, vol. 24(1), pages 49-81, February.
    79. Ming Liu & Xin Liu & Feng Chu & Feifeng Zheng & Chengbin Chu, 2020. "Robust disassembly line balancing with ambiguous task processing times," International Journal of Production Research, Taylor & Francis Journals, vol. 58(19), pages 5806-5835, October.
    80. S. Ehsan Hashemi-Petroodi & Alexandre Dolgui & Sergey Kovalev & Mikhail Y. Kovalyov & Simon Thevenin, 2021. "Workforce reconfiguration strategies in manufacturing systems: a state of the art," International Journal of Production Research, Taylor & Francis Journals, vol. 59(22), pages 6721-6744, November.
    81. Ortega Jimenez, Cesar H. & Machuca, Jose A.D. & Garrido-Vega, Pedro & Filippini, Roberto, 2015. "The pursuit of responsiveness in production environments: From flexibility to reconfigurability," International Journal of Production Economics, Elsevier, vol. 163(C), pages 157-172.
    82. Jordi Pereira & Mariona Vilà, 2016. "A new model for supply chain network design with integrated assembly line balancing decisions," International Journal of Production Research, Taylor & Francis Journals, vol. 54(9), pages 2653-2669, May.
    83. Marcus Ritt & Alysson M. Costa & Cristóbal Miralles, 2016. "The assembly line worker assignment and balancing problem with stochastic worker availability," International Journal of Production Research, Taylor & Francis Journals, vol. 54(3), pages 907-922, February.
    84. Fleszar, Krzysztof, 2017. "A new MILP model for the accessibility windows assembly line balancing problem level 2 (AWALBP-L2)," European Journal of Operational Research, Elsevier, vol. 259(1), pages 169-174.
    85. Theodor Freiheit & Wei Li, 2017. "The effect of work content imbalance and its interaction with scheduling method on sequential flow line performance," International Journal of Production Research, Taylor & Francis Journals, vol. 55(10), pages 2791-2805, May.
    86. Eduardo Álvarez-Miranda & Jordi Pereira & Harold Torrez-Meruvia & Mariona Vilà, 2021. "A Hybrid Genetic Algorithm for the Simple Assembly Line Balancing Problem with a Fixed Number of Workstations," Mathematics, MDPI, vol. 9(17), pages 1-19, September.
    87. Ozdemir, Rifat & Sarigol, Ilkan & AlMutairi, Sarah & AlMeea, Sarah & Murad, Abrar & Naqi, Aseel & AlNasser, Noor, 2021. "Fuzzy multi-objective model for assembly line balancing with ergonomic risks consideration," International Journal of Production Economics, Elsevier, vol. 239(C).
    88. Romero-Silva, Rodrigo & Shaaban, Sabry & Marsillac, Erika & Laarraf, Zouhair, 2021. "The impact of unequal processing time variability on reliable and unreliable merging line performance," International Journal of Production Economics, Elsevier, vol. 235(C).
    89. Ortega-Jimenez, Cesar H. & Garrido-Vega, Pedro & Cruz Torres, Cristian Andrés, 2020. "Achieving plant responsiveness from reconfigurable technology: Intervening role of SCM," International Journal of Production Economics, Elsevier, vol. 219(C), pages 195-203.
    90. Sihan Huang & Guoxin Wang & Yan Yan, 2019. "Delayed reconfigurable manufacturing system," International Journal of Production Research, Taylor & Francis Journals, vol. 57(8), pages 2372-2391, April.
    91. Fang, Yilin & Liu, Quan & Li, Miqing & Laili, Yuanjun & Pham, Duc Truong, 2019. "Evolutionary many-objective optimization for mixed-model disassembly line balancing with multi-robotic workstations," European Journal of Operational Research, Elsevier, vol. 276(1), pages 160-174.
    92. Niloofar Katiraee & Martina Calzavara & Serena Finco & Daria Battini & Olga Battaïa, 2021. "Consideration of workers’ differences in production systems modelling and design: State of the art and directions for future research," International Journal of Production Research, Taylor & Francis Journals, vol. 59(11), pages 3237-3268, June.
    93. Sgarbossa, F. & Grosse, E. H. & Neumann, W. P. & Battini, D. & Glock, C. H., 2020. "Human factors in production and logistics systems of the future," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 120615, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    94. Yong Cao & Yuan Li & Qinghua Liu & Jie Zhang, 2020. "An Optimization Model for Assembly Line Balancing Problem with Uncertain Cycle Time," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-13, June.
    95. Glock, C. H. & Grosse, E. H. & Jaber, M. Y. & Smunt, T. L., 2019. "Applications of learning curves in production and operations management: A systematic literature review," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 115511, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    96. García-Villoria, Alberto & Corominas, Albert & Nadal, Adrià & Pastor, Rafael, 2018. "Solving the accessibility windows assembly line problem level 1 and variant 1 (AWALBP-L1-1) with precedence constraints," European Journal of Operational Research, Elsevier, vol. 271(3), pages 882-895.
    97. Mehmet Ali Ilgin & Hakan Akçay & Ceyhun Araz, 2017. "Disassembly line balancing using linear physical programming," International Journal of Production Research, Taylor & Francis Journals, vol. 55(20), pages 6108-6119, October.
    98. Hamta, Nima & Fatemi Ghomi, S.M.T. & Jolai, F. & Akbarpour Shirazi, M., 2013. "A hybrid PSO algorithm for a multi-objective assembly line balancing problem with flexible operation times, sequence-dependent setup times and learning effect," International Journal of Production Economics, Elsevier, vol. 141(1), pages 99-111.
    99. Lopes, Thiago Cantos & Michels, Adalberto Sato & Sikora, Celso Gustavo Stall & Molina, Rafael Gobbi & Magatão, Leandro, 2018. "Balancing and cyclically sequencing synchronous, asynchronous, and hybrid unpaced assembly lines," International Journal of Production Economics, Elsevier, vol. 203(C), pages 216-224.
    100. Daria Battini & Xavier Delorme & Alexandre Dolgui & Alessandro Persona & Fabio Sgarbossa, 2016. "Ergonomics in assembly line balancing based on energy expenditure: a multi-objective model," International Journal of Production Research, Taylor & Francis Journals, vol. 54(3), pages 824-845, February.
    101. Rafael Pastor & Alberto García-Villoria & Manuel Laguna & Rafael Martí, 2015. "Metaheuristic procedures for the lexicographic bottleneck assembly line balancing problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(11), pages 1815-1825, November.
    102. Junkai He & Feng Chu & Feifeng Zheng & Ming Liu, 2021. "A green-oriented bi-objective disassembly line balancing problem with stochastic task processing times," Annals of Operations Research, Springer, vol. 296(1), pages 71-93, January.
    103. Zikai Zhang & Qiuhua Tang & Dayong Han & Xinbo Qian, 2021. "An enhanced multi-objective JAYA algorithm for U-shaped assembly line balancing considering preventive maintenance scenarios," International Journal of Production Research, Taylor & Francis Journals, vol. 59(20), pages 6146-6165, October.
    104. Felipe F.B. Araújo & Alysson M. Costa & Cristóbal Miralles, 2015. "Balancing parallel assembly lines with disabled workers," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 9(3), pages 344-365.
    105. Morrison, David R. & Sewell, Edward C. & Jacobson, Sheldon H., 2014. "An application of the branch, bound, and remember algorithm to a new simple assembly line balancing dataset," European Journal of Operational Research, Elsevier, vol. 236(2), pages 403-409.
    106. Koltai, Tamás & Dimény, Imre & Gallina, Viola & Gaal, Alexander & Sepe, Chiara, 2021. "An analysis of task assignment and cycle times when robots are added to human-operated assembly lines, using mathematical programming models," International Journal of Production Economics, Elsevier, vol. 242(C).
    107. Sternatz, Johannes, 2014. "Enhanced multi-Hoffmann heuristic for efficiently solving real-world assembly line balancing problems in automotive industry," European Journal of Operational Research, Elsevier, vol. 235(3), pages 740-754.
    108. Berti, Nicola & Finco, Serena & Battaïa, Olga & Delorme, Xavier, 2021. "Ageing workforce effects in Dual-Resource Constrained job-shop scheduling," International Journal of Production Economics, Elsevier, vol. 237(C).
    109. Eren Özceylan & Can B. Kalayci & Aşkıner Güngör & Surendra M. Gupta, 2019. "Disassembly line balancing problem: a review of the state of the art and future directions," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 4805-4827, August.
    110. Ashish Yadav & Sunil Agrawal, 2022. "Mathematical model for robotic two-sided assembly line balancing problem with zoning constraints," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 395-408, February.
    111. Qinxin Xiao & Xiuping Guo & Dong Li, 2021. "Partial disassembly line balancing under uncertainty: robust optimisation models and an improved migrating birds optimisation algorithm," International Journal of Production Research, Taylor & Francis Journals, vol. 59(10), pages 2977-2995, May.
    112. Michels, Adalberto Sato & Lopes, Thiago Cantos & Sikora, Celso Gustavo Stall & Magatão, Leandro, 2019. "A Benders’ decomposition algorithm with combinatorial cuts for the multi-manned assembly line balancing problem," European Journal of Operational Research, Elsevier, vol. 278(3), pages 796-808.
    113. Talip Kellegöz & Bilal Toklu, 2015. "A priority rule-based constructive heuristic and an improvement method for balancing assembly lines with parallel multi-manned workstations," International Journal of Production Research, Taylor & Francis Journals, vol. 53(3), pages 736-756, February.
    114. Parames Chutima & Nutthachai Yothaboriban, 2017. "Multi-objective mixed-model parallel assembly line balancing with a fuzzy adaptive biogeography-based algorithm," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 26(1), pages 90-132.
    115. Masood Fathi & María Jesús à lvarez & Victoria Rodríguez, 2016. "A new heuristic-based bi-objective simulated annealing method for U-shaped assembly line balancing," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 10(2), pages 145-169.
    116. Olcay Polat & Can B. Kalayci & Özcan Mutlu & Surendra M. Gupta, 2016. "A two-phase variable neighbourhood search algorithm for assembly line worker assignment and balancing problem type-II: an industrial case study," International Journal of Production Research, Taylor & Francis Journals, vol. 54(3), pages 722-741, February.
    117. Yigit Kazancoglu & Yesim Deniz Ozkan-Ozen, 2020. "Sustainable disassembly line balancing model based on triple bottom line," International Journal of Production Research, Taylor & Francis Journals, vol. 58(14), pages 4246-4266, July.
    118. M. H. Alavidoost & M. H. Fazel Zarandi & Mosahar Tarimoradi & Yaser Nemati, 2017. "Modified genetic algorithm for simple straight and U-shaped assembly line balancing with fuzzy processing times," Journal of Intelligent Manufacturing, Springer, vol. 28(2), pages 313-336, February.
    119. Rodrigo Romero-Silva & Sabry Shaaban, 2019. "Influence of unbalanced operation time means and uneven buffer allocation on unreliable merging assembly line efficiency," International Journal of Production Research, Taylor & Francis Journals, vol. 57(6), pages 1645-1666, March.
    120. Calleja, Gema & Corominas, Albert & García-Villoria, Alberto & Pastor, Rafael, 2016. "Hybrid metaheuristics for the Accessibility Windows Assembly Line Balancing Problem Level 2 (AWALBP-L2)," European Journal of Operational Research, Elsevier, vol. 250(3), pages 760-772.
    121. Junyong Liang & Shunsheng Guo & Yunfei Zhang & Wenfang Liu & Shengwen Zhou, 2021. "Energy-Efficient Optimization of Two-Sided Disassembly Line Balance Considering Parallel Operation and Uncertain Using Multiobjective Flatworm Algorithm," Sustainability, MDPI, vol. 13(6), pages 1-23, March.
    122. Andreas Hottenrott & Martin Grunow, 2019. "Flexible layouts for the mixed-model assembly of heterogeneous vehicles," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(4), pages 943-979, December.
    123. Mohand Lounes Bentaha & Alexandre Dolgui & Olga Battaïa & Robert J. Riggs & Jack Hu, 2018. "Profit-oriented partial disassembly line design: dealing with hazardous parts and task processing times uncertainty," International Journal of Production Research, Taylor & Francis Journals, vol. 56(24), pages 7220-7242, December.
    124. Ferdous Sarwar, 2019. "Multi-objective assembly line balancing problem under uncertainty using genetic algorithm," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 34(1), pages 33-47.
    125. Christian Weckenborg & Karsten Kieckhäfer & Christoph Müller & Martin Grunewald & Thomas S. Spengler, 2020. "Balancing of assembly lines with collaborative robots," Business Research, Springer;German Academic Association for Business Research, vol. 13(1), pages 93-132, April.
    126. Xiongwen Qian & Antonio M. Lopes, 2022. "A Heuristic-Mixed Genetic Algorithm for Type II Assembly Line Balancing with Multiple Workers in Workstations," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-8, March.
    127. Sabry Shaaban & Rodrigo Romero-Silva, 2021. "Performance of merging lines with uneven buffer capacity allocation: the effects of unreliability under different inventory-related costs," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(4), pages 1253-1288, December.
    128. Thiago Cantos Lopes & Nadia Brauner & Leandro Magatão, 2022. "Assembly line balancing with fractional task allocations," International Journal of Production Research, Taylor & Francis Journals, vol. 60(5), pages 1569-1586, March.
    129. Jiage Huo & Jianghua Zhang & Felix T. S. Chan, 2020. "A fuzzy control system for assembly line balancing with a three-state degradation process in the era of Industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 58(23), pages 7112-7129, December.
    130. Kalaycılar, Eda Göksoy & Azizoğlu, Meral & Yeralan, Sencer, 2016. "A disassembly line balancing problem with fixed number of workstations," European Journal of Operational Research, Elsevier, vol. 249(2), pages 592-604.
    131. Habibi, M.K. Khakim & Battaïa, Olga & Cung, Van-Dat & Dolgui, Alexandre, 2017. "Collection-disassembly problem in reverse supply chain," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 334-344.
    132. S. K. Ong & M. M. L. Chang & A. Y. C. Nee, 2021. "Product disassembly sequence planning: state-of-the-art, challenges, opportunities and future directions," International Journal of Production Research, Taylor & Francis Journals, vol. 59(11), pages 3493-3508, June.
    133. Wenqiang Zhang & Weitao Xu & Gang Liu & Mitsuo Gen, 2017. "An effective hybrid evolutionary algorithm for stochastic multiobjective assembly line balancing problem," Journal of Intelligent Manufacturing, Springer, vol. 28(3), pages 783-790, March.
    134. Sternatz, Johannes, 2015. "The joint line balancing and material supply problem," International Journal of Production Economics, Elsevier, vol. 159(C), pages 304-318.
    135. Tiacci, Lorenzo, 2015. "Simultaneous balancing and buffer allocation decisions for the design of mixed-model assembly lines with parallel workstations and stochastic task times," International Journal of Production Economics, Elsevier, vol. 162(C), pages 201-215.
    136. Murat Şahin & Talip Kellegöz, 2019. "Balancing Multi-Manned Assembly Lines With Walking Workers: Problem Definition, Mathematical Formulation, and an Electromagnetic Field Optimisation Algorithm," International Journal of Production Research, Taylor & Francis Journals, vol. 57(20), pages 6487-6505, October.
    137. Abdolreza Roshani & Davide Giglio, 2017. "Simulated annealing algorithms for the multi-manned assembly line balancing problem: minimising cycle time," International Journal of Production Research, Taylor & Francis Journals, vol. 55(10), pages 2731-2751, May.
    138. Can B. Kalayci & Olcay Polat & Surendra M. Gupta, 2016. "A hybrid genetic algorithm for sequence-dependent disassembly line balancing problem," Annals of Operations Research, Springer, vol. 242(2), pages 321-354, July.
    139. Abdelkrim R. Yelles-Chaouche & Evgeny Gurevsky & Nadjib Brahimi & Alexandre Dolgui, 2021. "Reconfigurable manufacturing systems from an optimisation perspective: a focused review of literature," International Journal of Production Research, Taylor & Francis Journals, vol. 59(21), pages 6400-6418, November.
    140. Urban, Timothy L. & Chiang, Wen-Chyuan, 2016. "Designing energy-efficient serial production lines: The unpaced synchronous line-balancing problem," European Journal of Operational Research, Elsevier, vol. 248(3), pages 789-801.
    141. Bentaha, Mohand Lounes & Battaïa, Olga & Dolgui, Alexandre & Hu, S. Jack, 2015. "Second order conic approximation for disassembly line design with joint probabilistic constraints," European Journal of Operational Research, Elsevier, vol. 247(3), pages 957-967.
    142. Zülal Diri Kenger & Çağrı Koç & Eren Özceylan, 2020. "Integrated disassembly line balancing and routing problem," International Journal of Production Research, Taylor & Francis Journals, vol. 58(23), pages 7250-7268, December.
    143. Ilenia Zennaro & Serena Finco & Daria Battini & Alessandro Persona, 2019. "Big size highly customised product manufacturing systems: a literature review and future research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 5362-5385, August.
    144. Xuemei Liu & Jiawei Chen & Aiping Li, 2021. "Optimisation of line configuration and balancing for reconfigurable transfer lines considering demand uncertainty," International Journal of Production Research, Taylor & Francis Journals, vol. 59(2), pages 444-466, January.
    145. Yoram Koren & Wencai Wang & Xi Gu, 2017. "Value creation through design for scalability of reconfigurable manufacturing systems," International Journal of Production Research, Taylor & Francis Journals, vol. 55(5), pages 1227-1242, March.
    146. Vilà, Mariona & Pereira, Jordi, 2013. "An enumeration procedure for the assembly line balancing problem based on branching by non-decreasing idle time," European Journal of Operational Research, Elsevier, vol. 229(1), pages 106-113.
    147. Kucukkoc, Ibrahim & Zhang, David Z., 2014. "Mathematical model and agent based solution approach for the simultaneous balancing and sequencing of mixed-model parallel two-sided assembly lines," International Journal of Production Economics, Elsevier, vol. 158(C), pages 314-333.
    148. Wucheng Yang & Wenming Cheng, 2020. "Modelling and solving mixed-model two-sided assembly line balancing problem with sequence-dependent setup time," International Journal of Production Research, Taylor & Francis Journals, vol. 58(21), pages 6638-6659, November.
    149. Wei Meng & Xiufen Zhang, 2020. "Optimization of Remanufacturing Disassembly Line Balance Considering Multiple Failures and Material Hazards," Sustainability, MDPI, vol. 12(18), pages 1-16, September.
    150. Jia Liu & Shuwei Wang, 2017. "Balancing Disassembly Line in Product Recovery to Promote the Coordinated Development of Economy and Environment," Sustainability, MDPI, vol. 9(2), pages 1-15, February.
    151. Ibrahim Kucukkoc & Kadir Buyukozkan & Sule Itir Satoglu & David Z. Zhang, 2019. "A mathematical model and artificial bee colony algorithm for the lexicographic bottleneck mixed-model assembly line balancing problem," Journal of Intelligent Manufacturing, Springer, vol. 30(8), pages 2913-2925, December.
    152. Luiza Zeltzer & El-Houssaine Aghezzaf & Veronique Limère, 2017. "Workload balancing and manufacturing complexity levelling in mixed-model assembly lines," International Journal of Production Research, Taylor & Francis Journals, vol. 55(10), pages 2829-2844, May.
    153. Audrey Cerqueus & Xavier Delorme, 2019. "A branch-and-bound method for the bi-objective simple line assembly balancing problem," International Journal of Production Research, Taylor & Francis Journals, vol. 57(18), pages 5640-5659, September.
    154. Sarah Hudson & Tom McNamara & Sabry Shaaban, 2015. "Unbalanced lines: where are we now?," International Journal of Production Research, Taylor & Francis Journals, vol. 53(6), pages 1895-1911, March.
    155. Dolgui, Alexandre & Hashemi-Petroodi, S. Ehsan & Kovalev, Sergey & Kovalyov, Mikhail Y., 2021. "Profitability of a multi-model manufacturing line versus multiple dedicated lines," International Journal of Production Economics, Elsevier, vol. 236(C).
    156. Bautista, Joaquín & Batalla-García, Cristina & Alfaro-Pozo, Rocío, 2016. "Models for assembly line balancing by temporal, spatial and ergonomic risk attributes," European Journal of Operational Research, Elsevier, vol. 251(3), pages 814-829.
    157. Ibrahim Kucukkoc & David Z. Zhang, 2017. "Balancing of mixed-model parallel U-shaped assembly lines considering model sequences," International Journal of Production Research, Taylor & Francis Journals, vol. 55(20), pages 5958-5975, October.
    158. Yaping Ren & Daoyuan Yu & Chaoyong Zhang & Guangdong Tian & Leilei Meng & Xiaoqiang Zhou, 2017. "An improved gravitational search algorithm for profit-oriented partial disassembly line balancing problem," International Journal of Production Research, Taylor & Francis Journals, vol. 55(24), pages 7302-7316, December.
    159. Nico André Schmid & Veronique Limère, 2019. "A classification of tactical assembly line feeding problems," International Journal of Production Research, Taylor & Francis Journals, vol. 57(24), pages 7586-7609, December.
    160. Junkai He & Feng Chu & Feifeng Zheng & Ming Liu & Chengbin Chu, 2020. "A multi-objective distribution-free model and method for stochastic disassembly line balancing problem," International Journal of Production Research, Taylor & Francis Journals, vol. 58(18), pages 5721-5737, September.
    161. Violetta Giada Cannas & Margherita Pero & Rossella Pozzi & Tommaso Rossi, 2018. "Complexity reduction and kaizen events to balance manual assembly lines: an application in the field," International Journal of Production Research, Taylor & Francis Journals, vol. 56(11), pages 3914-3931, June.
    162. Jonathan Oesterle & Lionel Amodeo & Farouk Yalaoui, 2019. "A comparative study of Multi-Objective Algorithms for the Assembly Line Balancing and Equipment Selection Problem under consideration of Product Design Alternatives," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1021-1046, March.
    163. Pooya Alavian & Peter Denno & Semyon M. Meerkov, 2017. "Multi-job production systems: definition, problems, and product-mix performance portrait of serial lines," International Journal of Production Research, Taylor & Francis Journals, vol. 55(24), pages 7276-7301, December.
    164. Abdolmajid Yolmeh & Ullah Saif, 2021. "Closed-loop supply chain network design integrated with assembly and disassembly line balancing under uncertainty: an enhanced decomposition approach," International Journal of Production Research, Taylor & Francis Journals, vol. 59(9), pages 2690-2707, May.
    165. Fattahi, Ali & Turkay, Metin, 2015. "On the MILP model for the U-shaped assembly line balancing problems," European Journal of Operational Research, Elsevier, vol. 242(1), pages 343-346.
    166. Sihan Huang & Guoxin Wang & Xiwen Shang & Yan Yan, 2018. "Reconfiguration point decision method based on dynamic complexity for reconfigurable manufacturing system (RMS)," Journal of Intelligent Manufacturing, Springer, vol. 29(5), pages 1031-1043, June.
    167. Minghai Yuan & Hongyan Yu & Jinting Huang & Aimin Ji, 2019. "Reconfigurable assembly line balancing for cloud manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 30(6), pages 2391-2405, August.
    168. Dimitris Mourtzis, 2020. "Simulation in the design and operation of manufacturing systems: state of the art and new trends," International Journal of Production Research, Taylor & Francis Journals, vol. 58(7), pages 1927-1949, April.
    169. Jabir Mumtaz & Zailin Guan & Lei Yue & Li Zhang & Cong He, 2020. "Hybrid spider monkey optimisation algorithm for multi-level planning and scheduling problems of assembly lines," International Journal of Production Research, Taylor & Francis Journals, vol. 58(20), pages 6252-6267, October.
    170. Olga Battaïa & Alexandre Dolgui & Nikolai Guschinsky, 2020. "Optimal cost design of flow lines with reconfigurable machines for batch production," International Journal of Production Research, Taylor & Francis Journals, vol. 58(10), pages 2937-2952, May.
    171. Akpinar, Sener & Elmi, Atabak & Bektaş, Tolga, 2017. "Combinatorial Benders cuts for assembly line balancing problems with setups," European Journal of Operational Research, Elsevier, vol. 259(2), pages 527-537.
    172. Süleyman Mete & Zeynel Abidin Çil & Eren Özceylan & Kürşad Ağpak & Olga Battaïa, 2018. "An optimisation support for the design of hybrid production lines including assembly and disassembly tasks," International Journal of Production Research, Taylor & Francis Journals, vol. 56(24), pages 7375-7389, December.
    173. Yuchen Li, 2017. "The type-II assembly line rebalancing problem considering stochastic task learning," International Journal of Production Research, Taylor & Francis Journals, vol. 55(24), pages 7334-7355, December.
    174. Emel Kızılkaya Aydoğan & Yılmaz Delice & Uğur Özcan & Cevriye Gencer & Özkan Bali, 2019. "Balancing stochastic U-lines using particle swarm optimization," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 97-111, January.
    175. Daria Leiber & Gunther Reinhart, 2021. "A bi-level optimisation approach for assembly line design using a nested genetic algorithm," International Journal of Production Research, Taylor & Francis Journals, vol. 59(24), pages 7560-7575, December.
    176. Walter, Rico & Schulze, Philipp & Scholl, Armin, 2021. "SALSA: Combining branch-and-bound with dynamic programming to smoothen workloads in simple assembly line balancing," European Journal of Operational Research, Elsevier, vol. 295(3), pages 857-873.
    177. Yılmaz Delice & Emel Kızılkaya Aydoğan & Uğur Özcan & Mehmet Sıtkı İlkay, 2017. "Balancing two-sided U-type assembly lines using modified particle swarm optimization algorithm," 4OR, Springer, vol. 15(1), pages 37-66, March.
    178. Battaïa, Olga & Delorme, Xavier & Dolgui, Alexandre & Hagemann, Johannes & Horlemann, Anika & Kovalev, Sergey & Malyutin, Sergey, 2015. "Workforce minimization for a mixed-model assembly line in the automotive industry," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 489-500.
    179. Chica, Manuel & Cordón, Óscar & Damas, Sergio & Bautista, Joaquín, 2013. "A robustness information and visualization model for time and space assembly line balancing under uncertain demand," International Journal of Production Economics, Elsevier, vol. 145(2), pages 761-772.
    180. Yılmaz Delice & Emel Kızılkaya Aydoğan & Uğur Özcan, 2016. "Stochastic two-sided U-type assembly line balancing: a genetic algorithm approach," International Journal of Production Research, Taylor & Francis Journals, vol. 54(11), pages 3429-3451, June.
    181. Lopes, Thiago Cantos & Sikora, C.G.S. & Molina, Rafael Gobbi & Schibelbain, Daniel & Rodrigues, L.C.A. & Magatão, Leandro, 2017. "Balancing a robotic spot welding manufacturing line: An industrial case study," European Journal of Operational Research, Elsevier, vol. 263(3), pages 1033-1048.
    182. Pereira, Jordi, 2016. "Procedures for the bin packing problem with precedence constraints," European Journal of Operational Research, Elsevier, vol. 250(3), pages 794-806.
    183. Otto, Alena & Otto, Christian & Scholl, Armin, 2013. "Systematic data generation and test design for solution algorithms on the example of SALBPGen for assembly line balancing," European Journal of Operational Research, Elsevier, vol. 228(1), pages 33-45.
    184. Devika Kannan & Kiran Garg & P. C. Jha & Ali Diabat, 2017. "Integrating disassembly line balancing in the planning of a reverse logistics network from the perspective of a third party provider," Annals of Operations Research, Springer, vol. 253(1), pages 353-376, June.
    185. Li, Zixiang & Kucukkoc, Ibrahim & Zhang, Zikai, 2020. "Branch, bound and remember algorithm for two-sided assembly line balancing problem," European Journal of Operational Research, Elsevier, vol. 284(3), pages 896-905.
    186. Ming Liu & Xin Liu & Feng Chu & Feifeng Zheng & Chengbin Chu, 2021. "An exact method for disassembly line balancing problem with limited distributional information," International Journal of Production Research, Taylor & Francis Journals, vol. 59(3), pages 665-682, February.
    187. Jordi Pereira, 2018. "Modelling and solving a cost-oriented resource-constrained multi-model assembly line balancing problem," International Journal of Production Research, Taylor & Francis Journals, vol. 56(11), pages 3994-4016, June.
    188. Serena Finco & Martina Calzavara & Fabio Sgarbossa & Ilenia Zennaro, 2021. "Including rest allowance in mixed-model assembly lines," International Journal of Production Research, Taylor & Francis Journals, vol. 59(24), pages 7468-7490, December.
    189. Jietao Dong & Linxuan Zhang & Tianyuan Xiao, 2018. "A hybrid PSO/SA algorithm for bi-criteria stochastic line balancing with flexible task times and zoning constraints," Journal of Intelligent Manufacturing, Springer, vol. 29(4), pages 737-751, April.
    190. Xin Liu & Feng Chu & Feifeng Zheng & Chengbin Chu & Ming Liu, 2022. "Distributionally robust and risk-averse optimisation for the stochastic multi-product disassembly line balancing problem with workforce assignment," International Journal of Production Research, Taylor & Francis Journals, vol. 60(6), pages 1973-1991, March.
    191. Dolgui, Alexandre & Kovalev, Sergey & Kovalyov, Mikhail Y. & Nossack, Jenny & Pesch, Erwin, 2014. "Minimizing setup costs in a transfer line design problem with sequential operation processing," International Journal of Production Economics, Elsevier, vol. 151(C), pages 186-194.
    192. Michels, Adalberto Sato & Lopes, Thiago Cantos & Magatão, Leandro, 2020. "An exact method with decomposition techniques and combinatorial Benders’ cuts for the type-2 multi-manned assembly line balancing problem," Operations Research Perspectives, Elsevier, vol. 7(C).
    193. Christoph H. Glock & Eric H. Grosse, 2015. "Decision support models for production ramp-up: a systematic literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 53(21), pages 6637-6651, November.
    194. Neumann, W. Patrick & Winkelhaus, Sven & Grosse, Eric H. & Glock, C. H., 2021. "Industry 4.0 and the human factor – A systems framework and analysis methodology for successful development," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 124757, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    195. Parames Chutima & Krit Prasert, 2018. "Solving a multi-manned assembly line balancing problem in a Pareto sense," International Journal of Process Management and Benchmarking, Inderscience Enterprises Ltd, vol. 8(4), pages 490-515.
    196. Thiago Cantos Lopes & Celso Gustavo Stall Sikora & Adalberto Sato Michels & Leandro Magatão, 2020. "Mixed-model assembly lines balancing with given buffers and product sequence: model, formulation comparisons, and case study," Annals of Operations Research, Springer, vol. 286(1), pages 475-500, March.
    197. E Gurevsky & Ö Hazır & O Battaïa & A Dolgui, 2013. "Robust balancing of straight assembly lines with interval task times☆," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(11), pages 1607-1613, November.
    198. Rasul Esmaeilbeigi & Bahman Naderi & Parisa Charkhgard, 2016. "New formulations for the setup assembly line balancing and scheduling problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(2), pages 493-518, March.
    199. Sebnem Demirkol Akyol & Adil Baykasoğlu, 2019. "ErgoALWABP: a multiple-rule based constructive randomized search algorithm for solving assembly line worker assignment and balancing problem under ergonomic risk factors," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 291-302, January.
    200. Glock, C. H. & Grosse, E. H. & Jaber, M. Y. & Smunt, T. L., 2019. "Applications of learning curves in production and operations management: A systematic literature review," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 107692, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    201. Y. Lahrichi & N. Grangeon & L. Deroussi & S. Norre, 2021. "A new split-based hybrid metaheuristic for the reconfigurable transfer line balancing problem," International Journal of Production Research, Taylor & Francis Journals, vol. 59(4), pages 1127-1144, February.
    202. Jani Koskinen & Csaba Raduly-Baka & Mika Johnsson & Olli S. Nevalainen, 2020. "Rolling horizon production scheduling of multi-model PCBs for several assembly lines," International Journal of Production Research, Taylor & Francis Journals, vol. 58(4), pages 1052-1073, February.
    203. Lixia Zhu & Zeqiang Zhang & Yi Wang & Ning Cai, 2020. "On the end-of-life state oriented multi-objective disassembly line balancing problem," Journal of Intelligent Manufacturing, Springer, vol. 31(6), pages 1403-1428, August.
    204. Chica, Manuel & Bautista, Joaquín & Cordón, Óscar & Damas, Sergio, 2016. "A multiobjective model and evolutionary algorithms for robust time and space assembly line balancing under uncertain demand," Omega, Elsevier, vol. 58(C), pages 55-68.
    205. Wen-Chyuan Chiang & Timothy L. Urban & Chunyong Luo, 2016. "Balancing stochastic two-sided assembly lines," International Journal of Production Research, Taylor & Francis Journals, vol. 54(20), pages 6232-6250, October.
    206. Otto, Alena & Li, Xiyu, 2020. "Product sequencing in multiple-piece-flow assembly lines," Omega, Elsevier, vol. 91(C).
    207. Lixia Zhu & Zeqiang Zhang & Yi Wang, 2018. "A Pareto firefly algorithm for multi-objective disassembly line balancing problems with hazard evaluation," International Journal of Production Research, Taylor & Francis Journals, vol. 56(24), pages 7354-7374, December.
    208. Hyung-Won Kim & Chuljin Park & Dong-Ho Lee, 2018. "Selective disassembly sequencing with random operation times in parallel disassembly environment," International Journal of Production Research, Taylor & Francis Journals, vol. 56(24), pages 7243-7257, December.
    209. Feifeng Zheng & Junkai He & Feng Chu & Ming Liu, 2018. "A new distribution-free model for disassembly line balancing problem with stochastic task processing times," International Journal of Production Research, Taylor & Francis Journals, vol. 56(24), pages 7341-7353, December.
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    1. Liang, Wei & Zhang, Zeqiang & Yin, Tao & Zhang, Yu & Wu, Tengfei, 2023. "Modelling and optimisation of energy consumption and profit-oriented multi-parallel partial disassembly line balancing problem," International Journal of Production Economics, Elsevier, vol. 262(C).
    2. Battaïa, Olga & Dolgui, Alexandre & Guschinsky, Nikolai, 2023. "MIP-based heuristics for combinatorial design of reconfigurable rotary transfer machines for production of multiple parts," International Journal of Production Economics, Elsevier, vol. 262(C).

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    3. Hashemi-Petroodi, S. Ehsan & Thevenin, Simon & Kovalev, Sergey & Dolgui, Alexandre, 2022. "Model-dependent task assignment in multi-manned mixed-model assembly lines with walking workers," Omega, Elsevier, vol. 113(C).
    4. Ömer Faruk Yılmaz & Büşra Yazıcı, 2022. "Tactical level strategies for multi-objective disassembly line balancing problem with multi-manned stations: an optimization model and solution approaches," Annals of Operations Research, Springer, vol. 319(2), pages 1793-1843, December.
    5. Fang, Yilin & Liu, Quan & Li, Miqing & Laili, Yuanjun & Pham, Duc Truong, 2019. "Evolutionary many-objective optimization for mixed-model disassembly line balancing with multi-robotic workstations," European Journal of Operational Research, Elsevier, vol. 276(1), pages 160-174.
    6. Michels, Adalberto Sato & Lopes, Thiago Cantos & Magatão, Leandro, 2020. "An exact method with decomposition techniques and combinatorial Benders’ cuts for the type-2 multi-manned assembly line balancing problem," Operations Research Perspectives, Elsevier, vol. 7(C).
    7. Lixia Zhu & Zeqiang Zhang & Yi Wang & Ning Cai, 2020. "On the end-of-life state oriented multi-objective disassembly line balancing problem," Journal of Intelligent Manufacturing, Springer, vol. 31(6), pages 1403-1428, August.
    8. Christian Weckenborg & Karsten Kieckhäfer & Christoph Müller & Martin Grunewald & Thomas S. Spengler, 2020. "Balancing of assembly lines with collaborative robots," Business Research, Springer;German Academic Association for Business Research, vol. 13(1), pages 93-132, April.
    9. Pereira, Jordi & Álvarez-Miranda, Eduardo, 2018. "An exact approach for the robust assembly line balancing problem," Omega, Elsevier, vol. 78(C), pages 85-98.
    10. Peng Hu & Feng Chu & Yunfei Fang & Peng Wu, 2022. "Novel distribution-free model and method for stochastic disassembly line balancing with limited distributional information," Journal of Combinatorial Optimization, Springer, vol. 43(5), pages 1423-1446, July.
    11. García-Villoria, Alberto & Corominas, Albert & Nadal, Adrià & Pastor, Rafael, 2018. "Solving the accessibility windows assembly line problem level 1 and variant 1 (AWALBP-L1-1) with precedence constraints," European Journal of Operational Research, Elsevier, vol. 271(3), pages 882-895.
    12. Diefenbach, Johannes & Stolletz, Raik, 2022. "Stochastic assembly line balancing: General bounds and reliability-based branch-and-bound algorithm," European Journal of Operational Research, Elsevier, vol. 302(2), pages 589-605.
    13. Li, Zixiang & Kucukkoc, Ibrahim & Zhang, Zikai, 2020. "Branch, bound and remember algorithm for two-sided assembly line balancing problem," European Journal of Operational Research, Elsevier, vol. 284(3), pages 896-905.
    14. Murat Şahin & Talip Kellegöz, 2023. "Benders’ decomposition based exact solution method for multi-manned assembly line balancing problem with walking workers," Annals of Operations Research, Springer, vol. 321(1), pages 507-540, February.
    15. Süleyman Mete & Faruk Serin & Zeynel Abidin Çil & Erkan Çelik & Eren Özceylan, 2023. "A comparative analysis of meta-heuristic methods on disassembly line balancing problem with stochastic time," Annals of Operations Research, Springer, vol. 321(1), pages 371-408, February.
    16. Andreu-Casas, Enric & García-Villoria, Alberto & Pastor, Rafael, 2022. "Multi-manned assembly line balancing problem with dependent task times: a heuristic based on solving a partition problem with constraints," European Journal of Operational Research, Elsevier, vol. 302(1), pages 96-116.
    17. Lopes, Thiago Cantos & Pastre, Giuliano Vidal & Michels, Adalberto Sato & Magatão, Leandro, 2020. "Flexible multi-manned assembly line balancing problem: Model, heuristic procedure, and lower bounds for line length minimization," Omega, Elsevier, vol. 95(C).
    18. Michels, Adalberto Sato & Lopes, Thiago Cantos & Sikora, Celso Gustavo Stall & Magatão, Leandro, 2019. "A Benders’ decomposition algorithm with combinatorial cuts for the multi-manned assembly line balancing problem," European Journal of Operational Research, Elsevier, vol. 278(3), pages 796-808.
    19. Lopes, Thiago Cantos & Michels, Adalberto Sato & Sikora, Celso Gustavo Stall & Molina, Rafael Gobbi & Magatão, Leandro, 2018. "Balancing and cyclically sequencing synchronous, asynchronous, and hybrid unpaced assembly lines," International Journal of Production Economics, Elsevier, vol. 203(C), pages 216-224.
    20. Junkai He & Feng Chu & Feifeng Zheng & Ming Liu, 2021. "A green-oriented bi-objective disassembly line balancing problem with stochastic task processing times," Annals of Operations Research, Springer, vol. 296(1), pages 71-93, January.

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