Abstract
The management of inventories of perishable products with a short maximal shelf life takes a good issuing policy next to a good ordering policy. Ordering policies of non-perishables are well studied in literature and implemented in Automated Store Ordering (ASO) systems and Computer Assisted Ordering (CAO) systems. These ordering policies are stock-level dependent and do not take the product ages into account. As a consequence when applied to perishable products they do not anticipate expected future outdating of products and thus result in unnecessary outdating and shortages. Improved ordering policies are proposed in the literature but hardly implemented in ASO and CAO systems as these are designed for the management of non-perishables. Without changing the order policies of such systems one may reduce outdating and shortages by issuing the products in a sophisticated way. We present therefore a stochastic model that is solved by stochastic dynamic programming.
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References
Broekmeulen, R.A.C.M., van Donselaar, K.H.: A heuristic to manage perishable inventory with batch ordering, positive lead-times, and time-varying demand. Computers & Operations Research 36(11), 3013–3018 (2009)
Haijema, R.: Solving large structured markov decision problems for perishable inventory management and traffic control, Ph.D. thesis, Univeristy of Amsterdam - Tinbergen Institute - Amsterdam School of Economics, 12 (2008)
Haijema, R.: A new class of stock level dependent ordering policies for perishables with a short maximum shelf life. International Journal of Production Economics (2011); doi:10.1016/j.ijpe.2011.05.021
Haijema, R., van der Wal, J., van Dijk, N.M.: Blood platelet production: Optimization by dynamic programming and simulation. Computers and Operations Research 34(3), 760–779 (2007)
Haijema, R., van Dijk, N.M., van der Wal, J., Smit Sibinga, C.: Blood platelet production with breaks: Optimization by SDP and Simulation. International Journal of Production Economics 121, 467–473 (2009)
Karaesmen, I., Scheller-Wolf, A., Deniz, B.: Planning production and inventories in the extended enterprise. In: Managing Perishable and Aging Inventories: Review and Future Research Directions. International Series in Operations Research & Management Science. ch. 15, vol. 151, pp. 393–436. Springer, Heidelberg (2011)
Pierskalla, W.P.: Operations research and health care, a handbook of methods and applications. In: Supply Chain Management of Blood Banks, pp. 104–145. Kluwer Academic Publishers, New York (2004)
Puterman, M.L.: Markov decision processes: Discrete stochastic dynamic programming. Wiley Series in Probability and Mathematical Statistics (1994)
van der Vorst, J.G.A.J., Beulens, A.J.M., de Wit, W., van Beek, P.: Supply chain management in food chain: Improving performance by reducing uncertainty. Int. Trans. Op. Res. 5(6), 487–499 (1998)
van Dijk, N.M., Haijema, R., van der Wal, J., Smit Sibinga, C.: Blood platelet production: a formal approach for practical optimization. Transfusion 49(3), 411–420 (2009)
van Donselaar, K., van Woensel, T., Broekmeulen, R., Fransoo, J.: Inventory control of perishables in supermarkets. International Journal of Production Economics 104, 462–472 (2006)
van Zyl, G.J.J.: Inventory control for perishable commodities, unpublished Ph.D. dissertation, University of North Carolina (1964)
Veinott Jr., A.F.: Optimal ordering, issuing, and disposal of inventory with known demand, unpublished Ph.D. dissertation, Columbia University (1960)
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Haijema, R. (2011). Optimal Issuing of Perishables with a Short Fixed Shelf Life. In: Böse, J.W., Hu, H., Jahn, C., Shi, X., Stahlbock, R., VoĂŸ, S. (eds) Computational Logistics. ICCL 2011. Lecture Notes in Computer Science, vol 6971. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24264-9_12
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DOI: https://doi.org/10.1007/978-3-642-24264-9_12
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