Rahal, Imen and Elloumi, Abdelkarim (2021): Inventory management of perishable products : a case of melon in Tunisia.
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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.
Item Type: | MPRA Paper |
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Original Title: | Inventory management of perishable products : a case of melon in Tunisia |
English Title: | Inventory management of perishable products : a case of melon in Tunisia |
Language: | English |
Keywords: | Inventory management, deterioration, perishable products, melon. |
Subjects: | C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis |
Item ID: | 118028 |
Depositing User: | I RAHAL Imen RAHAL |
Date Deposited: | 27 Jul 2023 06:42 |
Last Modified: | 27 Jul 2023 06:42 |
References: | Batero Manso, D. F., & Orjuela Castro, J. A. (2018). El problema de ruteo e inventarios en cadenas de suministro de perecederos: revisión de literatura. Ingeniería, 23(2), 117-143. Behnke, K., & Janssen, M. F. W. H. A. (2020). Boundary conditions for traceability in food supply chains using blockchain technology. International Journal of Information Management, 52, 101969. Bhat, S. A., Huang, N. F., Sofi, I. B., & Sultan, M. (2021). Agriculture-food supply chain management based on blockchain and IoT: A narrative on enterprise blockchain interoperability. Agriculture, 12(1), 40. CHUNG, K.J., CÁRDENAS-BARRÓN, L.E. and TING, P.S. (2014). An inventory model with noninstantaneous receipt and exponentially deteriorating items for an integrated three layer supply chain system under two levels of trade credit. International Journal of Production Economics , 155, 310-317. Distefano, M., Mauro, R. P., Page, D., Giuffrida, F., Bertin, N., & Leonardi, C. (2022). Aroma volatiles in tomato fruits: The role of genetic, preharvest and postharvest factors. Agronomy, 12(2), 376. Massaglia, S., Borra, D., Peano, C., Sottile, F., & Merlino, V. M. (2019). Consumer preference heterogeneity evaluation in fruit and vegetable purchasing decisions using the best–worst approach. Foods, 8(7), 266. Olafare, K., Ramanathan, U., & Lu, C. (2022). Reviewing Africa's urban agri�food supply chain: sustainability approach. Scotto di Perta, E., Cesaro, A., Pindozzi, S., Frunzo, L., Esposito, G., & Papirio, S. (2022). Assessment of Hydrogen and Volatile Fatty Acid Production from Fruit and Vegetable Waste: A Case Study of Mediterranean Markets. Energies, 15(14), 5032. WANG, K.J., LIN, Y. S. and 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, 130(1), 66-76. ZANONI, S. and ZAVANELLA, L. (2012). Chilled or frozen? Decision strategies for sustainable food supply chains. International Journal of Production Economics, 140(2), 731-736 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/118028 |