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Optimal Pricing with Dynamic Tracking in the Perishable Food Supply Chain

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Decision-Making for Supply Chain Integration

Part of the book series: Decision Engineering ((DECENGIN,volume 1))

Abstract

Food waste stemmed from inappropriate quality control and excessive inventories is a major challenge in perishable food supply chains. Improvement of visibility and traceability in food supply chains facilitated by modern tracking and tracing technologies has great potential to reduce waste and improve operations efficiency. This research aims to maximise food retailer’s profits through a pricing approach based on dynamically identified food shelf life features. The proposed model is evaluated through different pricing strategies to exploit the benefits from utilising accurate product shelf life information captured through innovated tracking and monitoring technologies. Numerical analysis is conducted in an illustrative case study.

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Authors and Affiliations

  1. Department of Management, University of Bristol, 8 Woodland Road, Bristol, BS8 1TN, UK

    Xiaojun Wang

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  1. Xiaojun Wang
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Correspondence to Xiaojun Wang .

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Editors and Affiliations

  1. University of East Anglia, Ash Close 34, Wymondham, NR18 0HR, Norfolk, United Kingdom

    Hing Kai Chan

  2. University of East Anglia, Mulbarton, Elm Close 8, Norwich, NR14 8AU, Norfolk, United Kingdom

    Fiona Lettice

  3. , Norwich Business School, University of East Anglia, Norwich Business School, Norwich, NR4 7TJ, Norfolk, United Kingdom

    Olatunde Amoo Durowoju

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Wang, X. (2012). Optimal Pricing with Dynamic Tracking in the Perishable Food Supply Chain. In: Chan, H., Lettice, F., Durowoju, O. (eds) Decision-Making for Supply Chain Integration. Decision Engineering, vol 1. Springer, London. https://doi.org/10.1007/978-1-4471-4033-7_4

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  • DOI: https://doi.org/10.1007/978-1-4471-4033-7_4

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4032-0

  • Online ISBN: 978-1-4471-4033-7

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