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Improve food retail supply chain operations with dynamic pricing and product tracing
Leeds University, UK.
Linköping University, The Institute of Technology. Linköping University, Department of Management and Engineering.ORCID iD: 0000-0003-3058-7431
Nottingham University, UK.
Leeds University, UK.
2006 (English)In: International Journal of Services Operations and Informatics, ISSN 1741-539X, E-ISSN 1741-5403, Vol. 1, no 4, p. 347-362Article in journal (Refereed) Published
Abstract [en]

This paper investigates the potential value adding capability of dynamic product tracing to the food supply chain management. As the environment of supply chain processes affect product quality significantly, technologies and approaches for tracking and tracing products have the potential to improve the food supply chain performance by dynamically identifying product quality situations. This can be achieved by tracing the product manufacturing and supply process with Automatic Product Identification (AutoID) technologies. An optimisation model has been developed to generate optimal pricing policies based on the dynamically identified product quality information. The research concluded that the dynamic identification of the product value (quality) would generate benefits to the food supply chain management with widely adopted optimal pricing approaches.

Place, publisher, year, edition, pages
InderScience Publishers, 2006. Vol. 1, no 4, p. 347-362
Keywords [en]
food retail supply chains, automatic identification, AutoID, product AutoID systems, dynamic pricing, supply chain management, SCM, product tracing, optimisation, optimal pricing policies, product quality, product information, product value
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-41764DOI: 10.1504/IJSOI.2006.012161OAI: oai:DiVA.org:liu-41764DiVA, id: diva2:262619
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2023-09-29

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Output format
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