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Manufacturing Cycle Time Determination for a Multi-Stage Economic Production Quantity Model

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  • Andrew Z. Szendrovits

    (McMaster University)

Abstract

This paper presents a model which treats the manufacturing cycle time as a function of the lot size in a multi-stage production system. Using this functional relationship to determine the magnitude of the work-in-process inventory, a model is developed to calculate the economic production quantity (EPQ). The model assumes that a uniform lot size is manufactured through several operations, with only one set-up at each stage, and that transportation of sub-batches allows an overlap between operations to reduce the manufacturing cycle time. Constant fixed costs per lot, linear inventory holding costs and a constant and continuous demand of finished products are assumed over an infinite horizon. The lot size is considered "economic" when the sum of the fixed costs per lot and the inventory holding costs of both the work-in-process and finished product inventories is minimized. The model is a valid alternative to the conventional production lot size (ELQ) model which only accounts for the finished product inventory. A cost sensitivity analysis reveals the large potential savings from using the suggested EPQ model instead of the conventional ELQ model in multi-stage production systems.

Suggested Citation

  • Andrew Z. Szendrovits, 1975. "Manufacturing Cycle Time Determination for a Multi-Stage Economic Production Quantity Model," Management Science, INFORMS, vol. 22(3), pages 298-308, November.
  • Handle: RePEc:inm:ormnsc:v:22:y:1975:i:3:p:298-308
    DOI: 10.1287/mnsc.22.3.298
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    Cited by:

    1. Ramasesh, Ranga V. & Fu, Haizhen & Fong, Duncan K. H. & Hayya, Jack C., 2000. "Lot streaming in multistage production systems," International Journal of Production Economics, Elsevier, vol. 66(3), pages 199-211, July.
    2. Hoai Le Thi & Duc Tran, 2014. "Optimizing a multi-stage production/inventory system by DC programming based approaches," Computational Optimization and Applications, Springer, vol. 57(2), pages 441-468, March.
    3. Wen-Tsung Ho & Shu-Fang Lai & Yun-Kuei Huang, 2014. "An Optimal Mixed Batch Shipment Policy for Multiple Items in a Single-Supplier Multiple-Retailer Integrated System," Journal of Optimization Theory and Applications, Springer, vol. 160(2), pages 636-658, February.
    4. Sarin, Subhash C. & Kalir, Adar A. & Chen, Ming, 2008. "A single-lot, unified cost-based flow shop lot-streaming problem," International Journal of Production Economics, Elsevier, vol. 113(1), pages 413-424, May.
    5. Bogaschewsky, Ronald W. & Buscher, Udo D. & Lindner, Gerd, 2001. "Optimizing multi-stage production with constant lot size and varying number of unequal sized batches," Omega, Elsevier, vol. 29(2), pages 183-191, April.
    6. Hoque, M.A., 2011. "An optimal solution technique to the single-vendor multi-buyer integrated inventory supply chain by incorporating some realistic factors," European Journal of Operational Research, Elsevier, vol. 215(1), pages 80-88, November.
    7. D Biskup & M Feldmann, 2006. "Lot streaming with variable sublots: an integer programming formulation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(3), pages 296-303, March.
    8. Sucky, Eric, 2006. "A bargaining model with asymmetric information for a single supplier-single buyer problem," European Journal of Operational Research, Elsevier, vol. 171(2), pages 516-535, June.
    9. Jaber, Mohamad Y. & Khan, Mehmood, 2010. "Managing yield by lot splitting in a serial production line with learning, rework and scrap," International Journal of Production Economics, Elsevier, vol. 124(1), pages 32-39, March.
    10. Kuik, Roelof & Tielemans, Peter F. J., 2004. "Expected time in system analysis of a single-machine multi-item processing center," European Journal of Operational Research, Elsevier, vol. 156(2), pages 287-304, July.
    11. Kimms, Alf & Drexl, Andreas, 1996. "Multi-level lot sizing: A literature survey," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 405, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    12. Hoque, M.A. & Kingsman, B.G., 2006. "Synchronization in common cycle lot size scheduling for a multi-product serial supply chain," International Journal of Production Economics, Elsevier, vol. 103(1), pages 316-331, September.
    13. Ouenniche, Jamal & Boctor, Fayez F., 2001. "The two-group heuristic to solve the multi-product, economic lot sizing and scheduling problem in flow shops," European Journal of Operational Research, Elsevier, vol. 129(3), pages 539-554, March.
    14. Wen-Tsung Ho & Jason Chao-Hsien Pan & Yu-Cheng Hsiao, 2012. "Optimizing Multi-stage Production for an Assembly-Type Supply Chain with Unequal Sized Batch Shipments," Journal of Optimization Theory and Applications, Springer, vol. 153(2), pages 513-531, May.
    15. Wen-Tsung Ho & Yu-Cheng Hsiao, 2014. "Optimal Mixed Batch Shipment Policy with Variable Safety Factor for the Single-Vendor Single-Buyer Production-Inventory System," Journal of Optimization Theory and Applications, Springer, vol. 161(2), pages 648-663, May.
    16. Kim, DaeSoo, 1999. "Optimal two-stage lot sizing and inventory batching policies," International Journal of Production Economics, Elsevier, vol. 58(3), pages 221-234, January.
    17. Hsiao, Yu-Cheng, 2008. "Integrated logistic and inventory model for a two-stage supply chain controlled by the reorder and shipping points with sharing information," International Journal of Production Economics, Elsevier, vol. 115(1), pages 229-235, September.
    18. Hsiao, Yu-Cheng & Lin, Yi & Huang, Yun-Kuei, 2010. "Optimal multi-stage logistic and inventory policies with production bottleneck in a serial supply chain," International Journal of Production Economics, Elsevier, vol. 124(2), pages 408-413, April.

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