Version 1
: Received: 23 March 2024 / Approved: 26 March 2024 / Online: 26 March 2024 (14:14:11 CET)
How to cite:
Chowdhury, M.A.R. Design of a Reverse Processing Network for Sub-Optimal Fruit in a Retail Store Using an Milp Model. Preprints2024, 2024031592. https://doi.org/10.20944/preprints202403.1592.v1
Chowdhury, M.A.R. Design of a Reverse Processing Network for Sub-Optimal Fruit in a Retail Store Using an Milp Model. Preprints 2024, 2024031592. https://doi.org/10.20944/preprints202403.1592.v1
Chowdhury, M.A.R. Design of a Reverse Processing Network for Sub-Optimal Fruit in a Retail Store Using an Milp Model. Preprints2024, 2024031592. https://doi.org/10.20944/preprints202403.1592.v1
APA Style
Chowdhury, M.A.R. (2024). Design of a Reverse Processing Network for Sub-Optimal Fruit in a Retail Store Using an Milp Model. Preprints. https://doi.org/10.20944/preprints202403.1592.v1
Chicago/Turabian Style
Chowdhury, M.A.R. 2024 "Design of a Reverse Processing Network for Sub-Optimal Fruit in a Retail Store Using an Milp Model" Preprints. https://doi.org/10.20944/preprints202403.1592.v1
Abstract
Modernizing the retail sector is essential to societal progress toward creating a smart city. The retail sector is crucial to the development of a smart city because of its adaptability and capacity for innovation. However, due to their perishability, supermarkets throw away a lot of fruits and vegetables. This article discusses the design of a sub-optimal process for processing sorted fruits using a reverse logistics approach, demonstrating how productivity can be increased despite constraints on processing capacity. This paper presents the results of a case study conducted in a Qatari supermarket that offers a variety of regular fruit processing techniques. In order to maximize output and cut down on waste, this project aimed to develop a reverse logistics system for imperfect fruit.
Environmental and Earth Sciences, Waste Management and Disposal
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
