Empirical Study on Ordering Policy for Multi-Products in Fresh Food Supply Chains

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Abstract:

Food supply chain is a complex process. The author develops a model that will provide both researchers and practitioners with a means of determining the optimal ordering policy for multi-products in fresh food supply chain. By using computer simulation. this paper conduct for a numerical analysis to the ordering policy of products of a food company in Hubei province to analyze the properties of total cost functions under each of the six different ordering policies and proposes an approximate optimal ordering policy of multiple products. Based on the models and analysis, it is found that agglomeration effect plays an important role in determine ordering policy of multiple products.

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Periodical:

Advanced Materials Research (Volumes 204-210)

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46-53

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Online since:

February 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Chen HK, Hsueh CF and Chang MS. Production scheduling and vehicle routing with time windows for perishable food products. Computers&Operations Researech. Vol. 10 (2008), p.1~9.

DOI: 10.1016/j.cor.2008.09.010

Google Scholar

[2] Papachristos S, Skouri K. An optimal replenishment policy for deteriorating items with time-varying demand and partial--exponential type--backlogging. Operational Research Letter. Vol. 27 (2000), p.175~184.

DOI: 10.1016/s0167-6377(00)00044-4

Google Scholar

[3] Teng JT, Chang HJ, Dye CY and Hung CH. An optimal replenishment policy for deteriorating items with time-varying demand and partial backlogging. Operational Research Letter. Vol. 30 (2002), p.387~393.

DOI: 10.1016/s0167-6377(02)00150-5

Google Scholar

[4] Teng JT, Chern MS, Yang HL, Wang YJ. Deterministic lot size inventory models with shortages and deterioration for fluctuating demand. Operational Research Letter. Vol. 24 (1999), p.65~72.

DOI: 10.1016/s0167-6377(98)00042-x

Google Scholar

[5] Chopra. S and Peter. MP., Supply Chain Management: Strategy, planning and operation. Prentice-Hall. Inc. (2002) in press.

Google Scholar

[6] YU YG, Liang L, Wang C and Wang ZQ. An Integrated Vendor- Managed - Inventory Model for Deteriorating Item. Chinese Journal of Management Science. Vol. 2 (2004), pp.32-37.

Google Scholar

[7] Wen XW and Da QL. Ordering Policy and Empirical Study of Multi-Product in a Supply Chain. Vol. 21 (2007), p.56~60.

Google Scholar