IDEAS home Printed from https://ideas.repec.org/a/spr/joinma/v30y2019i1d10.1007_s10845-016-1246-6.html
   My bibliography  Save this article

ErgoALWABP: a multiple-rule based constructive randomized search algorithm for solving assembly line worker assignment and balancing problem under ergonomic risk factors

Author

Listed:
  • Sebnem Demirkol Akyol

    (Dokuz Eylül University)

  • Adil Baykasoğlu

    (Dokuz Eylül University)

Abstract

This paper proposes a new type of assembly line worker assignment and balancing problem (ALWABP) which considers ergonomic risks. ALWABP occurs when task times vary according to the assigned worker. Although the operation time of a task is assumed to be fixed in classical assembly lines, it depends on the operator who executes the task in ALWABP. In ALWABP literature, the primary and secondary objectives are minimizing cycle time and balancing workload among workstations smoothly, respectively. When smoothing workload, only task times are taken into consideration in the relevant literature. However, degree of difficulty of tasks is also very important. Two workers executing two different stations with the same station time are assumed to be equally loaded according to the traditional perception. In fact, even they have the same station time; their workloads are different because of the different tasks they execute, in real life assembly line configurations. In order to close this gap between the real life and the literature, this study introduces an ALWABP problem with considering ergonomic risk factors (ErgoALWABP). Due to the complex nature of the problem, optimum seeking methods are not capable of solving it. So, the proposed problem is tackled with the multiple-rule based constructive randomized search approach. Also, OCcupational Repetitive Action method is used for making ergonomic risk assessment. Performance of the proposed solution procedure is compared with the relevant literature on benchmark data. Experimental results show that ergonomic environment could be improved when ergonomic risk factors are taken into account.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:joinma:v:30:y:2019:i:1:d:10.1007_s10845-016-1246-6
    DOI: 10.1007/s10845-016-1246-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10845-016-1246-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10845-016-1246-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Miralles, Cristobal & Garcia-Sabater, Jose Pedro & Andres, Carlos & Cardos, Manuel, 2007. "Advantages of assembly lines in Sheltered Work Centres for Disabled. A case study," International Journal of Production Economics, Elsevier, vol. 110(1-2), pages 187-197, October.
    2. Otto, Alena & Scholl, Armin, 2011. "Incorporating ergonomic risks into assembly line balancing," European Journal of Operational Research, Elsevier, vol. 212(2), pages 277-286, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Adalberto Sato Michels & Alysson M. Costa, 2021. "A note to: A multiple-rule based constructive randomized search algorithm for solving assembly line worker assignment and balancing problem," Journal of Intelligent Manufacturing, Springer, vol. 32(8), pages 2121-2124, December.
    2. Boysen, Nils & Schulze, Philipp & Scholl, Armin, 2022. "Assembly line balancing: What happened in the last fifteen years?," European Journal of Operational Research, Elsevier, vol. 301(3), pages 797-814.
    3. 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).
    4. Pabolu, Venkata Krishna Rao & Shrivastava, Divya & Kulkarni, Makarand S., 2022. "Modelling and prediction of worker task performance using a knowledge-based system application," International Journal of Production Economics, Elsevier, vol. 254(C).
    5. Eryk Szwarc & Grzegorz Bocewicz & Paulina Golińska-Dawson & Zbigniew Banaszak, 2023. "Proactive Operations Management: Staff Allocation with Competence Maintenance Constraints," Sustainability, MDPI, vol. 15(3), pages 1-20, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Boysen, Nils & Schulze, Philipp & Scholl, Armin, 2022. "Assembly line balancing: What happened in the last fifteen years?," European Journal of Operational Research, Elsevier, vol. 301(3), pages 797-814.
    3. 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).
    4. Adriano Cordisco & Riccardo Melloni & Lucia Botti, 2022. "Sustainable Circular Economy for the Integration of Disadvantaged People: A Preliminary Study on the Reuse of Lithium-Ion Batteries," Sustainability, MDPI, vol. 14(13), pages 1-15, July.
    5. 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.
    6. Cildoz, Marta & Ibarra, Amaia & Mallor, Fermin, 2020. "Coping with stress in emergency department physicians through improved patient-flow management," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    7. Pereira, Jordi & Ritt, Marcus, 2023. "Exact and heuristic methods for a workload allocation problem with chain precedence constraints," European Journal of Operational Research, Elsevier, vol. 309(1), pages 387-398.
    8. Sebnem Demirkol Akyol & Adil Baykasoğlu, 2019. "A multiple-rule based constructive randomized search algorithm for solving assembly line worker assignment and balancing problem," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 557-573, February.
    9. 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.
    10. Diefenbach, Heiko & Emde, Simon & Glock, Christoph H., 2020. "Loading tow trains ergonomically for just-in-time part supply," European Journal of Operational Research, Elsevier, vol. 284(1), pages 325-344.
    11. Bogataj, David & Battini, Daria & Calzavara, Martina & Persona, Alessandro, 2019. "The ageing workforce challenge: Investments in collaborative robots or contribution to pension schemes, from the multi-echelon perspective," International Journal of Production Economics, Elsevier, vol. 210(C), pages 97-106.
    12. Boysen, Nils & Emde, Simon & Hoeck, Michael & Kauderer, Markus, 2015. "Part logistics in the automotive industry: Decision problems, literature review and research agenda," European Journal of Operational Research, Elsevier, vol. 242(1), pages 107-120.
    13. Sriram Narayanan & Ed Terris, 2020. "Inclusive Manufacturing: The Impact of Disability Diversity on Productivity in a Work Integration Social Enterprise," Manufacturing & Service Operations Management, INFORMS, vol. 22(6), pages 1112-1130, November.
    14. Yildiz Kose & Hatice Nida Civan & Ertugrul Ayyildiz & Emre Cevikcan, 2022. "An Interval Valued Pythagorean Fuzzy AHP–TOPSIS Integrated Model for Ergonomic Assessment of Setup Process under SMED," Sustainability, MDPI, vol. 14(21), pages 1-30, October.
    15. Adalberto Sato Michels & Alysson M. Costa, 2021. "A note to: A multiple-rule based constructive randomized search algorithm for solving assembly line worker assignment and balancing problem," Journal of Intelligent Manufacturing, Springer, vol. 32(8), pages 2121-2124, December.
    16. Fröhlich von Elmbach, Alexander & Scholl, Armin & Walter, Rico, 2019. "Minimizing the maximal ergonomic burden in intra-hospital patient transportation," European Journal of Operational Research, Elsevier, vol. 276(3), pages 840-854.
    17. 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.
    18. Alena Otto & Nils Boysen & Armin Scholl & Rico Walter, 2017. "Ergonomic workplace design in the fast pick area," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(4), pages 945-975, October.
    19. Benavides, Alexander J. & Ritt, Marcus & Miralles, Cristóbal, 2014. "Flow shop scheduling with heterogeneous workers," European Journal of Operational Research, Elsevier, vol. 237(2), pages 713-720.
    20. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:joinma:v:30:y:2019:i:1:d:10.1007_s10845-016-1246-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.