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Inventory management of perishable products : a case of melon in Tunisia

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  • Rahal, Imen
  • Elloumi, Abdelkarim

Abstract

Inventory management is the branch of business management that covers inventory planning and control. For this reason, we are considering the use of performance indicators in continuous control models specifically for inventory management of perishable products. Indeed, the high rate of deterioration of food products under ambient storage conditions calls for specific storage conditions in the store or at the consumer's premises to slow the rate of deterioration. This article presents a multi�level inventory management model for melons. The melon chain comprises a non-linear programming model, formulated and evaluated in CPLEX, which minimizes the total cost of inventory in the chain formed by a wholesaler, hypermarket, retailer and resellers in order to calculate the optimal order quantity and total cost of melon for each actor.

Suggested Citation

  • Rahal, Imen & Elloumi, Abdelkarim, 2021. "Inventory management of perishable products : a case of melon in Tunisia," MPRA Paper 118028, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:118028
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    File URL: https://mpra.ub.uni-muenchen.de/118028/1/gestion%20de%20stock.pdf
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    References listed on IDEAS

    as
    1. Zanoni, Simone & Zavanella, Lucio, 2012. "Chilled or frozen? Decision strategies for sustainable food supply chains," International Journal of Production Economics, Elsevier, vol. 140(2), pages 731-736.
    2. Chung, Kun-Jen & Eduardo Cárdenas-Barrón, Leopoldo & Ting, Pin-Shou, 2014. "An inventory model with non-instantaneous receipt and exponentially deteriorating items for an integrated three layer supply chain system under two levels of trade credit," International Journal of Production Economics, Elsevier, vol. 155(C), pages 310-317.
    3. Ester Scotto di Perta & Alessandra Cesaro & Stefania Pindozzi & Luigi Frunzo & Giovanni Esposito & Stefano Papirio, 2022. "Assessment of Hydrogen and Volatile Fatty Acid Production from Fruit and Vegetable Waste: A Case Study of Mediterranean Markets," Energies, MDPI, vol. 15(14), pages 1-15, July.
    4. Wang, Kung-Jeng & Lin, Y.S. & Yu, Jonas C.P., 2011. "Optimizing inventory policy for products with time-sensitive deteriorating rates in a multi-echelon supply chain," International Journal of Production Economics, Elsevier, vol. 130(1), pages 66-76, March.
    5. Showkat Ahmad Bhat & Nen-Fu Huang & Ishfaq Bashir Sofi & Muhammad Sultan, 2021. "Agriculture-Food Supply Chain Management Based on Blockchain and IoT: A Narrative on Enterprise Blockchain Interoperability," Agriculture, MDPI, vol. 12(1), pages 1-25, December.
    6. Behnke, Kay & Janssen, M.F.W.H.A., 2020. "Boundary conditions for traceability in food supply chains using blockchain technology," International Journal of Information Management, Elsevier, vol. 52(C).
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. RAHAL, Imen, 2024. "The Supply Chain Management for Perishables Products : A Literature Review," MPRA Paper 119193, University Library of Munich, Germany.
    2. Rahal, Imen, 2023. "Analyse de la gestion des stocks de produits périssables en utilisant le modèle EOQ en Tunisie [Analysis of stock management for perishable products using EOQ model in Tunisia]," MPRA Paper 118592, University Library of Munich, Germany.

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    More about this item

    Keywords

    Inventory management; deterioration; perishable products; melon.;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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