A Mathematical Model to Minimize the Total Cost in Apple Fruit Supply Chain: The Case of Indian Scenario
- DOI
- 10.2991/978-94-6463-162-3_17How to use a DOI?
- Keywords
- Apple supply chain; Mathematical model; Heuristic approach; Food security
- Abstract
Apple cultivation is a major employment and extremely successful economic activity in the Kashmir valley (India). The apple supply chain (ASC) in India is conventional and entails value loss at many levels of the supply chain (SC), which raises the cost of the final product. With increased production comes increased challenges in the ASC, such as a lack of suitable storage, a shortage of processing equipment, a lack of packing material, inefficient transportation, and middleman manipulation. Efficient apple transportation reduces post-harvest loss and stabilizes prices at regional cold storage facilities which is critical. The aim of this article is to develop the simple Indian ASC to ensure food security for all by means of affordability. A mathematical model is formulated to design a simple Indian ASC to minimize the total distribution cost (TDC) and post-harvest loss. A real case study of Baramulla District (India) apple distribution is solved using the heuristic approach to check the validity of the formulated model.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - M. Yuvaraj AU - R. Jothi Basu PY - 2023 DA - 2023/05/10 TI - A Mathematical Model to Minimize the Total Cost in Apple Fruit Supply Chain: The Case of Indian Scenario BT - Proceedings of the International Conference on Emerging Trends in Business & Management (ICETBM 2023) PB - Atlantis Press SP - 193 EP - 203 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-162-3_17 DO - 10.2991/978-94-6463-162-3_17 ID - Yuvaraj2023 ER -