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Integrating simulation and FITradeoff method for scheduling rules selection in job-shop production systems

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  • Pergher, Isaac
  • Frej, Eduarda Asfora
  • Roselli, Lucia Reis Peixoto
  • de Almeida, Adiel Teixeira

Abstract

Scheduling decisions related to due date assignment, order release and priority dispatching affect multiple performance dimensions simultaneously. Previous job-shop studies based on simulation and multiobjective optimization techniques do not explore the goals that a decision-maker (DM) wishes to reach, when assessing compensations between multiple benefits and potential impacts yielded by a combination of rules. With the aim of reflecting the DM's preference structure on scheduling decisions, this paper considers a discrete event simulation approach integrated with the Flexible and Interactive Tradeoff (FITradeoff) compensatory method to identify the best combination of due date assignment, order release and shop dispatching rules. Through discrete event simulation, the performance of different combinations of rules and inherent parameters are evaluated with regard to the attributes of total cost, production quantity, total throughput time, and tardiness. The FITradeoff method is used to compensate the disadvantage in one of the performance attributes with the advantage in other attributes, considering the DM's preferences which are elicited in a procedure that requires less information in order to make comparisions between multiple simulated consequences. A numerical application is set out using realistic data from a manufacturer of ladies' shoes so as to visualize and discuss the steps of the model and its usefulness in practice.

Suggested Citation

  • Pergher, Isaac & Frej, Eduarda Asfora & Roselli, Lucia Reis Peixoto & de Almeida, Adiel Teixeira, 2020. "Integrating simulation and FITradeoff method for scheduling rules selection in job-shop production systems," International Journal of Production Economics, Elsevier, vol. 227(C).
  • Handle: RePEc:eee:proeco:v:227:y:2020:i:c:s0925527320300633
    DOI: 10.1016/j.ijpe.2020.107669
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    References listed on IDEAS

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    1. de Almeida, Jonatas Araujo & Costa, Ana Paula Cabral Seixas & de Almeida-Filho, Adiel Teixeira, 2016. "A new method for elicitation of criteria weights in additive models: Flexible and interactive tradeoffAuthor-Name: de Almeida, Adiel Teixeira," European Journal of Operational Research, Elsevier, vol. 250(1), pages 179-191.
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    Cited by:

    1. Eduarda Asfora Frej & Danielle Costa Morais & Adiel Teixeira de Almeida, 2022. "Negotiation Support Through Interactive Dominance Relationship Specification," Group Decision and Negotiation, Springer, vol. 31(3), pages 591-620, June.
    2. Marques, Adriana Cavalcante & Frej, Eduarda Asfora & de Almeida, Adiel Teixeira, 2022. "Multicriteria decision support for project portfolio selection with the FITradeoff method," Omega, Elsevier, vol. 111(C).
    3. Lucia Reis Peixoto Roselli & Adiel Teixeira Almeida, 2022. "Use of the Alpha-Theta Diagram as a decision neuroscience tool for analyzing holistic evaluation in decision making," Annals of Operations Research, Springer, vol. 312(2), pages 1197-1219, May.
    4. Anderson Lucas Carneiro de Lima da Silva & Ana Paula Cabral Seixas Costa & Adiel Teixeira de Almeida, 2022. "Exploring cognitive aspects of FITradeoff method using neuroscience tools," Annals of Operations Research, Springer, vol. 312(2), pages 1147-1169, May.
    5. Adiel Teixeira Almeida & Eduarda Asfora Frej & Lucia Reis Peixoto Roselli, 2021. "Combining holistic and decomposition paradigms in preference modeling with the flexibility of FITradeoff," 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(1), pages 7-47, March.
    6. Ferreira, Cristiane & Figueira, Gonçalo & Amorim, Pedro, 2022. "Effective and interpretable dispatching rules for dynamic job shops via guided empirical learning," Omega, Elsevier, vol. 111(C).

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