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MRP in a job shop environment using a resource constrained project scheduling model

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  • Rom, Walter O.
  • Tukel, Oya Icmeli
  • Muscatello, Joseph R.

Abstract

One of the most difficult tasks in a job shop manufacturing environment is to balance schedule and capacity in an ongoing basis. MRP systems are commonly used for scheduling, although their inability to deal with capacity constraints adequately is a severe drawback. In this study, we show that material requirements planning can be done more effectively in a job shop environment using a resource constrained project scheduling model. The proposed model augments MRP models by incorporating capacity constraints and using variable lead time lengths. The efficacy of this approach is tested on MRP systems by comparing the inventory carrying costs and resource allocation of the solutions obtained by the proposed model to those obtained by using a traditional MRP model. In general, it is concluded that the proposed model provides improved schedules with considerable reductions in inventory carrying costs.

Suggested Citation

  • Rom, Walter O. & Tukel, Oya Icmeli & Muscatello, Joseph R., 2002. "MRP in a job shop environment using a resource constrained project scheduling model," Omega, Elsevier, vol. 30(4), pages 275-286, August.
  • Handle: RePEc:eee:jomega:v:30:y:2002:i:4:p:275-286
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    References listed on IDEAS

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    Cited by:

    1. Alessandro Hill & Eduardo Lalla-Ruiz & Stefan Voß & Marcos Goycoolea, 2019. "A multi-mode resource-constrained project scheduling reformulation for the waterway ship scheduling problem," Journal of Scheduling, Springer, vol. 22(2), pages 173-182, April.
    2. Debels, D. & Vanhoucke, M., 2006. "A finite capacity production scheduling procedure for a belgian steel company," Vlerick Leuven Gent Management School Working Paper Series 2006-41, Vlerick Leuven Gent Management School.
    3. Bruni, M.E. & Di Puglia Pugliese, L. & Beraldi, P. & Guerriero, F., 2017. "An adjustable robust optimization model for the resource-constrained project scheduling problem with uncertain activity durations," Omega, Elsevier, vol. 71(C), pages 66-84.
    4. Hartmann, Sönke & Briskorn, Dirk, 2008. "A survey of variants and extensions of the resource-constrained project scheduling problem," Working Paper Series 02/2008, Hamburg School of Business Administration (HSBA).
    5. Kristianto, Yohanes & Gunasekaran, Angappa & Helo, Petri, 2017. "Building the “Triple R” in global manufacturing," International Journal of Production Economics, Elsevier, vol. 183(PC), pages 607-619.
    6. Stadtler, Hartmut, 2005. "Supply chain management and advanced planning--basics, overview and challenges," European Journal of Operational Research, Elsevier, vol. 163(3), pages 575-588, June.
    7. Hartmann, Sönke & Briskorn, Dirk, 2010. "A survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 207(1), pages 1-14, November.
    8. Karapetyan, Daniel & Mitrovic Minic, Snezana & Malladi, Krishna T. & Punnen, Abraham P., 2015. "Satellite downlink scheduling problem: A case study," Omega, Elsevier, vol. 53(C), pages 115-123.
    9. Mohebbi, E. & Choobineh, F. & Pattanayak, A., 2007. "Capacity-driven vs. demand-driven material procurement systems," International Journal of Production Economics, Elsevier, vol. 107(2), pages 451-466, June.

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