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A green-oriented bi-objective disassembly line balancing problem with stochastic task processing times

Author

Listed:
  • Junkai He

    (Université Paris-Saclay
    Donghua University)

  • Feng Chu

    (Université Paris-Saclay
    Fuzhou University)

  • Feifeng Zheng

    (Donghua University)

  • Ming Liu

    (Tongji University)

Abstract

Remanufacturing and recycling industry has developed rapidly in recent years due to its benefits in reducing waste and protecting the environment. However, the uncertain environment and excessive emission during production become two main obstacles for its further development. In this paper, a green-oriented bi-objective disassembly line balancing problem with stochastic task processing times is studied. The objectives are to minimize the total line configuration cost respecting the given budget, and minimize the total contaminant emission, respectively. To depict stochastic processing times, their mean, standard deviation and change-rate upper bound are assumed to be known since it may be difficult to obtain the complete historical data. For the problem, a bi-objective model with chance constraints is first formulated, which is further approximated into a linear distribution-free one. To solve the second model, an efficient $$\varepsilon $$ ε -constraint method is proposed based on problem analysis. Finally, a fuzzy-logic-based approach is applied to recommend preferred solutions for managers according to their perspectives. The solution methods are first examined by a case study, then by 247 benchmark-based instances and randomly generated instances. Experimental results indicate the efficiency and effectiveness of the proposed methods for solving the green-oriented bi-objective problem.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:annopr:v:296:y:2021:i:1:d:10.1007_s10479-020-03558-z
    DOI: 10.1007/s10479-020-03558-z
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    as
    1. 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.
    2. Yu, Shiwei & Zheng, Shuhong & Gao, Shiwei & Yang, Juan, 2017. "A multi-objective decision model for investment in energy savings and emission reductions in coal mining," European Journal of Operational Research, Elsevier, vol. 260(1), pages 335-347.
    3. 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.
    4. 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.
    5. Schoenherr, Tobias, 2012. "The role of environmental management in sustainable business development: A multi-country investigation," International Journal of Production Economics, Elsevier, vol. 140(1), pages 116-128.
    6. Bérubé, Jean-François & Gendreau, Michel & Potvin, Jean-Yves, 2009. "An exact [epsilon]-constraint method for bi-objective combinatorial optimization problems: Application to the Traveling Salesman Problem with Profits," European Journal of Operational Research, Elsevier, vol. 194(1), pages 39-50, April.
    7. Ali Koc & Ihsan Sabuncuoglu & Erdal Erel, 2009. "Two exact formulations for disassembly line balancing problems with task precedence diagram construction using an AND/OR graph," IISE Transactions, Taylor & Francis Journals, vol. 41(10), pages 866-881.
    8. Marcus Wagner & Stefan Schaltegger, 2004. "The Effect of Corporate Environmental Strategy Choice and Environmental Performance on Competitiveness and Economic Performance," Post-Print hal-00279008, HAL.
    9. 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.
    10. 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.
    11. Lo, Chris K.Y. & Yeung, Andy C.L. & Cheng, T.C.E., 2012. "The impact of environmental management systems on financial performance in fashion and textiles industries," International Journal of Production Economics, Elsevier, vol. 135(2), pages 561-567.
    12. Wagner, Marcus & Schaltegger, Stefan, 2004. "The Effect of Corporate Environmental Strategy Choice and Environmental Performance on Competitiveness and Economic Performance:: An Empirical Study of EU Manufacturing," European Management Journal, Elsevier, vol. 22(5), pages 557-572, October.
    13. Esmaili, Masoud & Shayanfar, Heidar Ali & Amjady, Nima, 2009. "Multi-objective congestion management incorporating voltage and transient stabilities," Energy, Elsevier, vol. 34(9), pages 1401-1412.
    14. 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.
    15. Evgeny Gurevsky & Olga Battaïa & Alexandre Dolgui, 2012. "Balancing of simple assembly lines under variations of task processing times," Annals of Operations Research, Springer, vol. 201(1), pages 265-286, December.
    16. Ng, ManWo, 2014. "Distribution-free vessel deployment for liner shipping," European Journal of Operational Research, Elsevier, vol. 238(3), pages 858-862.
    17. 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.
    18. 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.
    19. 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.
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    Cited by:

    1. 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).
    2. 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.

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