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A study of scheduling under the theory of constraints

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  • Golmohammadi, Davood

Abstract

In this study, the implementation of the theory of constraints (TOC) rules for job-shop systems to advance the state of research on constraint scheduling is investigated. Most previous studies have applied the TOC concepts and rules to simple process flows, but the nature of job-shop systems adds complexity to scheduling. The current rules of thumb for scheduling based on the TOC are implemented for a case study in the automotive industry. A number of simulation scenarios are discussed, providing insights into the master production schedule (MPS), the drum–buffer–rope (DBR) scheduling method, the role of setup times in scheduling, the impact of free products (those that do not use constraint resources) on throughput, and the effect of priority rules in resource assignment to free products. Moreover, optimization techniques are used to find optimal and/or satisfactory solutions for input variables in the simulation experiment. Our findings suggest that the current rules of thumb should be modified for real-world applications and complex job-shop systems.

Suggested Citation

  • Golmohammadi, Davood, 2015. "A study of scheduling under the theory of constraints," International Journal of Production Economics, Elsevier, vol. 165(C), pages 38-50.
    • Handle: RePEc:eee:proeco:v:165:y:2015:i:c:p:38-50
    DOI: 10.1016/j.ijpe.2015.03.015
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    1. Linhares, Alexandre, 2009. "Theory of constraints and the combinatorial complexity of the product-mix decision," International Journal of Production Economics, Elsevier, vol. 121(1), pages 121-129, September.
    2. Plenert, Gerhard, 1993. "Optimizing theory of constraints when multiple constrained resources exist," European Journal of Operational Research, Elsevier, vol. 70(1), pages 126-133, October.
    3. Fredendall, Lawrence D. & Ojha, Divesh & Wayne Patterson, J., 2010. "Concerning the theory of workload control," European Journal of Operational Research, Elsevier, vol. 201(1), pages 99-111, February.
    4. Ashcroft, S. H., 1989. "Applying the principles of optimized production technology in a small manufacturing company," Engineering Costs and Production Economics, Elsevier, vol. 17(1-4), pages 79-88, August.
    5. Betterton, Carl E. & Cox III, James F., 2009. "Espoused drum-buffer-rope flow control in serial lines: A comparative study of simulation models," International Journal of Production Economics, Elsevier, vol. 117(1), pages 66-79, January.
    6. Chakravorty, Satya S., 2001. "An evaluation of the DBR control mechanism in a job shop environment," Omega, Elsevier, vol. 29(4), pages 335-342, August.
    7. Chakravorty, Satya S. & Atwater, J. Brian, 2005. "The impact of free goods on the performance of drum-buffer-rope scheduling systems," International Journal of Production Economics, Elsevier, vol. 95(3), pages 347-357, March.
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    Cited by:

    1. Federica Costa & Kaustav Kundu & Matteo Rossini & Alberto Portioli-Staudacher, 2023. "Comparative study of bottleneck-based release models and load-based ones in a hybrid MTO-MTS flow shop: an assessment by simulation," Operations Management Research, Springer, vol. 16(1), pages 33-48, March.
    2. Mansouri, S. Afshin & Golmohammadi, Davood & Miller, Jason, 2019. "The moderating role of master production scheduling method on throughput in job shop systems," International Journal of Production Economics, Elsevier, vol. 216(C), pages 67-80.
    3. Habib Zare & Mahyar Kamali Saraji & Madjid Tavana & Dalia Streimikiene & Fausto Cavallaro, 2021. "An Integrated Fuzzy Goal Programming—Theory of Constraints Model for Production Planning and Optimization," Sustainability, MDPI, vol. 13(22), pages 1-15, November.
    4. Yang, Hongbing & Li, Wenchao & Wang, Bin, 2021. "Joint optimization of preventive maintenance and production scheduling for multi-state production systems based on reinforcement learning," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    5. Chia-Yen Lee & Chen-Fu Chien, 2022. "Pitfalls and protocols of data science in manufacturing practice," Journal of Intelligent Manufacturing, Springer, vol. 33(5), pages 1189-1207, June.
    6. Thürer, Matthias & Stevenson, Mark, 2018. "Bottleneck-oriented order release with shifting bottlenecks: An assessment by simulation," International Journal of Production Economics, Elsevier, vol. 197(C), pages 275-282.
    7. Pacheco, Diego Augusto de Jesus & Antunes Junior, José Antonio Valle & de Matos, Celso Augusto, 2021. "The constraints of theory: What is the impact of the Theory of Constraints on Operations Strategy?," International Journal of Production Economics, Elsevier, vol. 235(C).

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