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Determination of Economic Packaging Frequency for Items Jointly Replenished

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  • S. K. Goyal

    (Glamorgan Polytechnic, Wales, U.K.)

Abstract

The model described in this paper is typically applicable to the batch processing industry where a batch of a product is packaged into several container types immediately after manufacture. An example involving 10 jointly replenished items has been solved for illustrating the recommended approach.

Suggested Citation

  • S. K. Goyal, 1973. "Determination of Economic Packaging Frequency for Items Jointly Replenished," Management Science, INFORMS, vol. 20(2), pages 232-235, October.
    • Handle: RePEc:inm:ormnsc:v:20:y:1973:i:2:p:232-235
    DOI: 10.1287/mnsc.20.2.232
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    Cited by:

    1. Tsai, Chi-Yang & Yeh, Szu-Wei, 2008. "A multiple objective particle swarm optimization approach for inventory classification," International Journal of Production Economics, Elsevier, vol. 114(2), pages 656-666, August.
    2. A Nilsson & E A Silver, 2008. "A simple improvement on Silver's heuristic for the joint replenishment problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(10), pages 1415-1421, October.
    3. Wildeman, R.E. & Dekker, R., 1996. "Dynamic Influences in Multi-Component Maintenance," Econometric Institute Research Papers EI 9630-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Nilsson, Andreas & Segerstedt, Anders & van der Sluis, Erik, 2007. "A new iterative heuristic to solve the joint replenishment problem using a spreadsheet technique," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 399-405, July.
    5. Rommert Dekker & Ralph Wildeman & Frank Duyn Schouten, 1997. "A review of multi-component maintenance models with economic dependence," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 45(3), pages 411-435, October.
    6. Frenk, J. B. G. & Kleijn, M. J. & Dekker, R., 1999. "An efficient algorithm for a generalized joint replenishment problem," European Journal of Operational Research, Elsevier, vol. 118(2), pages 413-428, October.
    7. Tamar Cohen-Hillel & Liron Yedidsion, 2018. "The Periodic Joint Replenishment Problem Is Strongly 𝒩𝒫-Hard," Mathematics of Operations Research, INFORMS, vol. 43(4), pages 1269-1289, November.
    8. Wang, Lin & He, Jing & Wu, Desheng & Zeng, Yu-Rong, 2012. "A novel differential evolution algorithm for joint replenishment problem under interdependence and its application," International Journal of Production Economics, Elsevier, vol. 135(1), pages 190-198.
    9. Moon, I.K. & Cha, B.C., 2006. "The joint replenishment problem with resource restriction," European Journal of Operational Research, Elsevier, vol. 173(1), pages 190-198, August.
    10. J-M Chen & T-H Chen, 2005. "Effects of joint replenishment and channel coordination for managing multiple deteriorating products in a supply chain," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(10), pages 1224-1234, October.
    11. Murthy, Nagesh N. & Benton, W. C. & Rubin, Paul A., 2003. "Offsetting inventory cycles of items sharing storage," European Journal of Operational Research, Elsevier, vol. 150(2), pages 304-319, October.
    12. Haksever, Cengiz & Moussourakis, John, 2005. "A model for optimizing multi-product inventory systems with multiple constraints," International Journal of Production Economics, Elsevier, vol. 97(1), pages 18-30, July.
    13. Li, Xiuhui & Wang, Qinan, 2007. "Coordination mechanisms of supply chain systems," European Journal of Operational Research, Elsevier, vol. 179(1), pages 1-16, May.
    14. Hoque, M.A., 2006. "An optimal solution technique for the joint replenishment problem with storage and transport capacities and budget constraints," European Journal of Operational Research, Elsevier, vol. 175(2), pages 1033-1042, December.
    15. Olsen, Anne L., 2008. "Inventory replenishment with interdependent ordering costs: An evolutionary algorithm solution," International Journal of Production Economics, Elsevier, vol. 113(1), pages 359-369, May.

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