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Dynamic planning with a wireless product identification technology in food supply chains

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Abstract

An innovative planning model has been developed for perishable food supply chain planning. The model maximises product values for consumers instead of merely reducing costs. The information which can be derived from RFID enabled control systems for product units (at palette or crate level) has been used to identify dynamic product quality status. Then, the information is used to optimise product allocations from manufacturers to distributors and retailers. The objective is to minimise lost value of products and maximise profits for supply chain partners. The real-time control towards value maximisation becomes possible with the real-time product quality information from RFID systems. An illustrative case has been described for simulating the dynamic planning process.

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References

  1. The Smart Manufacturing Forum (2003) Optimising food safety using RFID. September. http://aqute.typepad.com/aquteresearch/files/smart_manufacturing_food_safety_using_rfid.pdf#search=’smartmanufacturingforum.com’. Cited 08 October 2005

  2. Bhattacharjee S, Ramesh R (2000) A multi-period profit maximizing model for retail supply chain management: an integration of demand and supply-side mechanisms. Eur J Oper Res 122:584–601

    Article  MATH  MathSciNet  Google Scholar 

  3. Blackburn J, Scudder G (2003) Supply chain strategies for perishable products: the case of fresh produce. OGSM working paper #03–14, Vanderbilt University, Nashville, TN

  4. Lin CR, Chen HS (2003) Dynamic allocation of uncertain supply for the perishable commodity supply chain. Int J Prod Res 41(13):3119–3138

    Article  MATH  Google Scholar 

  5. Chakrabarty T, Giri BC, Chaudhuri KS (1998) An EOQ model for items with weibull distribution deterioration, shortages, and trended demand: an extension of Philip’s model. Comput Oper Res 25(7/8):649–657

    Article  MATH  Google Scholar 

  6. Fujiwara O, Perera ULJSR (1993) EOQ models for continuously deteriorating products using linear and exponential penalty costs. Eur J Oper Res 70(1):104–114

    Article  MATH  Google Scholar 

  7. McFarlanea D, Sarmab S, Chirna JL, Wonga CY, Ashton K (2003) Auto ID systems and intelligent manufacturing control. Eng Appl Artif Intell 16:365–376

    Article  Google Scholar 

  8. Schwartz BM (1997) Tracking down need. Transp Distrib 38(10):50–52

    Google Scholar 

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Authors and Affiliations

  1. Management School, University of Liverpool, Liverpool, UK

    Dong Li, Dennis Kehoe & Paul Drake

Authors
  1. Dong Li
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  2. Dennis Kehoe
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  3. Paul Drake
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Correspondence to Dong Li.

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Li, D., Kehoe, D. & Drake, P. Dynamic planning with a wireless product identification technology in food supply chains. Int J Adv Manuf Technol 30, 938–944 (2006). https://doi.org/10.1007/s00170-005-0066-1

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  • DOI: https://doi.org/10.1007/s00170-005-0066-1

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