IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v165y2015icp38-50.html
   My bibliography  Save this article

A study of scheduling under the theory of constraints

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527315000833
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2015.03.015?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. 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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    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. 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. 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.
    3. 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).
    4. 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.
    5. 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.
    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).

    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. Thürer, Matthias & Stevenson, Mark & Silva, Cristovao & Qu, Ting, 2017. "Drum-buffer-rope and workload control in High-variety flow and job shops with bottlenecks: An assessment by simulation," International Journal of Production Economics, Elsevier, vol. 188(C), pages 116-127.
    2. 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.
    3. 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.
    4. Davood Golmohammadi & S. Afshin Mansouri, 2015. "Complexity and workload considerations in product mix decisions under the theory of constraints," Naval Research Logistics (NRL), John Wiley & Sons, vol. 62(5), pages 357-369, August.
    5. 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).
    6. 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.
    7. Yarong Chen & Hongming Zhou & Peiyu Huang & FuhDer Chou & Shenquan Huang, 2022. "A refined order release method for achieving robustness of non-repetitive dynamic manufacturing system performance," Annals of Operations Research, Springer, vol. 311(1), pages 65-79, April.
    8. Machado, Mariana Paim & Abreu, Jaqueline Lilge & Morandi, Maria Isabel Motta & Piran, Fabio Sartori & Lacerda, Daniel Pacheco, 2023. "Exploratory decision robustness analysis of the theory of constraints focusing process using system dynamics modeling," International Journal of Production Economics, Elsevier, vol. 260(C).
    9. Bhattacharya, Arijit & Vasant, Pandian, 2007. "Soft-sensing of level of satisfaction in TOC product-mix decision heuristic using robust fuzzy-LP," European Journal of Operational Research, Elsevier, vol. 177(1), pages 55-70, February.
    10. Wen-Hsien Tsai & Shang-Yu Lai & Chu-Lun Hsieh, 2023. "Exploring the impact of different carbon emission cost models on corporate profitability," Annals of Operations Research, Springer, vol. 322(1), pages 41-74, March.
    11. Kee, Robert & Schmidt, Charles, 2000. "A comparative analysis of utilizing activity-based costing and the theory of constraints for making product-mix decisions," International Journal of Production Economics, Elsevier, vol. 63(1), pages 1-17, January.
    12. Lea, Bih-Ru & Fredendall, Lawrence D., 2002. "The impact of management accounting, product structure, product mix algorithm, and planning horizon on manufacturing performance," International Journal of Production Economics, Elsevier, vol. 79(3), pages 279-299, October.
    13. Ribeiro, M.A. & Silveira, J.L. & Qassim, R.Y., 2007. "Joint optimisation of maintenance and buffer size in a manufacturing system," European Journal of Operational Research, Elsevier, vol. 176(1), pages 405-413, January.
    14. Federica Costa & Alberto Portioli-Staudacher, 2021. "Labor flexibility integration in workload control in Industry 4.0 era," Operations Management Research, Springer, vol. 14(3), pages 420-433, December.
    15. Matthias Thürer & Nuno O. Fernandes & Mark Stevenson & Ting Qu, 2017. "On the backlog-sequencing decision for extending the applicability of ConWIP to high-variety contexts: an assessment by simulation," International Journal of Production Research, Taylor & Francis Journals, vol. 55(16), pages 4695-4711, August.
    16. Matthias Thürer & Mark Stevenson & Ting Qu, 2016. "Job sequencing and selection within workload control order release: an assessment by simulation," International Journal of Production Research, Taylor & Francis Journals, vol. 54(4), pages 1061-1075, February.
    17. Wen-Hsien Tsai & Shi-Yin Jhong, 2018. "Carbon Emissions Cost Analysis with Activity-Based Costing," Sustainability, MDPI, vol. 10(8), pages 1-26, August.
    18. Matthias Thürer & Mark Stevenson, 2016. "Card-based delivery date promising in pure flow shops with order release control," International Journal of Production Research, Taylor & Francis Journals, vol. 54(22), pages 6798-6811, November.
    19. Thürer, Matthias & Stevenson, Mark & Qu, Ting & Godinho Filho, Moacir, 2014. "The design of simple subcontracting rules for make-to-order shops: An assessment by simulation," European Journal of Operational Research, Elsevier, vol. 239(3), pages 854-864.
    20. Matthias Thürer & Mark Stevenson, 2016. "Workload control in job shops with re-entrant flows: an assessment by simulation," International Journal of Production Research, Taylor & Francis Journals, vol. 54(17), pages 5136-5150, September.

    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:eee:proeco:v:165:y:2015:i:c:p:38-50. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.