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Discussing the parameters of preservation of perishable goods in a cold logistic chain model

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  • Miroslav Verbic

Abstract

The paper discusses the parameters of preservation of perishable goods in cold logistic chains. The key parameters are the intensity of deterioration of goods, the conservation effect of perishable goods and the delay of activation of the conservation effect. The values of these parameters determine the quantity of the product being deteriorated in the logistic chain and the extent to which the deterioration can be alleviated. Econometric estimation thus presents the quantity effects of preservation procedures, whereas the financial effects can be derived using the proper price categories in the calculation of the net present value or the annuity stream. In this way one can determine whether the implementation of preservation procedures is more rational than the purchase of an attainable insurance policy.

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  • Miroslav Verbic, 2006. "Discussing the parameters of preservation of perishable goods in a cold logistic chain model," Applied Economics, Taylor & Francis Journals, vol. 38(2), pages 137-147.
    • Handle: RePEc:taf:applec:v:38:y:2006:i:2:p:137-147
    DOI: 10.1080/00036840500367609
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    1. Bogataj, Marija, 1994. "Optimal control of hereditary inventory systems with short-time conservation effects," International Journal of Production Economics, Elsevier, vol. 35(1-3), pages 241-244, June.
    2. Grubbstrom, Robert W & Molinder, Anders, 1994. "Further theoretical considerations on the relationship between MRP, input-output analysis and multi-echelon inventory systems," International Journal of Production Economics, Elsevier, vol. 35(1-3), pages 299-311, June.
    3. Miroslav Verbic, 2004. "Econometric Estimation of Parameters of Preservation of Perishable Goods in Cold Logistic Chains," Econometrics 0409002, University Library of Munich, Germany.
    4. Bogataj, Marija, 1996. "Inventories in spatial models," International Journal of Production Economics, Elsevier, vol. 45(1-3), pages 337-342, August.
    5. Robert W. Grubbström, 1967. "On The Application of the Laplace Transform to Certain Economic Problems," Management Science, INFORMS, vol. 13(7), pages 558-567, March.
    6. Bogataj, Marija, 1999. "Inventory allocation and customer travelling problem in spatial duopoly," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 271-279, March.
    7. Bogataj, Ludvik & Horvat, Liljana, 1996. "Stochastic considerations of Grubbstrom--Molinder model of MRP, input-output and multi-echelon inventory systems," International Journal of Production Economics, Elsevier, vol. 45(1-3), pages 329-336, August.
    8. Bogataj, Marija & Bogataj, Ludvik, 2004. "On the compact presentation of the lead times perturbations in distribution networks," International Journal of Production Economics, Elsevier, vol. 88(2), pages 145-155, March.
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    Cited by:

    1. Abdul Salam Khan & Bashir Salah & Dominik Zimon & Muhammad Ikram & Razaullah Khan & Catalin I. Pruncu, 2020. "A Sustainable Distribution Design for Multi-Quality Multiple-Cold-Chain Products: An Integrated Inspection Strategies Approach," Energies, MDPI, vol. 13(24), pages 1-25, December.
    2. Jing Chen & Pengfei Gui & Tao Ding & Sanggyun Na & Yingtang Zhou, 2019. "Optimization of Transportation Routing Problem for Fresh Food by Improved Ant Colony Algorithm Based on Tabu Search," Sustainability, MDPI, vol. 11(23), pages 1-22, November.
    3. Danijel Kovačić & Eloy Hontoria & Lorenzo Ros-McDonnell & Marija Bogataj, 2015. "Location and lead-time perturbations in multi-level assembly systems of perishable goods in Spanish baby food logistics," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(3), pages 607-623, September.

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