Abstract

Food loss has become a major problem around the world. Food loss will be a significant threat to the world's food sustainability. An exponential increase in the issue of food loss among policymakers, academics, and even the private sector has occurred in recent years. Research related to the issue of food loss can be grouped into several topics, including the driving factors of food loss, solutions to reduce food loss, the impact of reducing food loss, linkages with sustainability, quantification of food loss and other new themes. The research above is conducted mainly with quantitative and qualitative empirical research methods, and few use optimization models. This study will present a comprehensive review of recent research in the field of food supply chains with a focus on reducing food loss, especially using an optimization model approach. An in-depth literature review is conducted related to the model approach, decision variables, objective function, solution approach, and food loss studied. This study helps provide direction and opportunities for researchers and practitioners to identify the current state of affairs, gaps in current research, and future studies on food loss.

Original languageEnglish
Title of host publicationMSIE 2024 - 2024 6th International Conference on Management Science and Industrial Engineering
PublisherAssociation for Computing Machinery
Pages168-173
Number of pages6
ISBN (Electronic)9798400717130
DOIs
Publication statusPublished - 24 Apr 2024
Event6th International Conference on Management Science and Industrial Engineering, MSIE 2024 - Bangkok, Thailand
Duration: 24 Apr 202426 Apr 2024

Publication series

NameACM International Conference Proceeding Series

Conference

Conference6th International Conference on Management Science and Industrial Engineering, MSIE 2024
Country/TerritoryThailand
CityBangkok
Period24/04/2426/04/24

Keywords

  • Food loss
  • Food supply chain
  • Literature review
  • Optimization model

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