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The impact of inventory management on economic and environmental sustainability in the apple industry

Paam, P, Berretta, R, Heydar, M ORCID: 0000-0001-9277-9370 and Garcia-Flores, R 2019 , 'The impact of inventory management on economic and environmental sustainability in the apple industry' , Computers and Electronics in Agriculture, vol. 163 , pp. 1-11 , doi: 10.1016/j.compag.2019.06.003.

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Abstract

This paper investigates the impact of inventory management optimization on fruit loss, and inventory and processing costs in apple supply chains. It proposes new inventory policies regarding the configuration of high-tech storage rooms, where apples are stored to meet the annual demand. Each configuration gives rise to a different set of storage room, which will preserve the apples for a specified period of time. To quantify the impact of these policies, we apply a mathematical programming model to the Australian apple industry and analyze the results for two different configurations of storage rooms: (1) a fixed number of each type of storage room and (2) a flexible arrangement in which different numbers of storage rooms of each type are active during different time periods. The comparative effectiveness of the two scenarios is investigated through a case study. The flexible configuration is found to be superior as it reduces fruit loss and total storage and processing costs by 7.7% and 1.5%, respectively, over the fixed configuration. Finally, a comprehensive sensitivity analysis of some of the parameters of the model is performed. This allows the provision of valuable insights and recommendations which empower apple industry stakeholders to improve their inventory performance.

Item Type: Article
Authors/Creators:Paam, P and Berretta, R and Heydar, M and Garcia-Flores, R
Keywords: food supply chain, inventory management, apple supply chain, food loss, mixed integer programming, sustainability
Journal or Publication Title: Computers and Electronics in Agriculture
Publisher: Elsevier Sci Ltd
ISSN: 0168-1699
DOI / ID Number: 10.1016/j.compag.2019.06.003
Copyright Information:

© 2019 Elsevier B.V. All rights reserved.

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