TY - GEN
T1 - Optimization Models for Food Supply Chains with Consideration of Food Loss
T2 - 6th International Conference on Management Science and Industrial Engineering, MSIE 2024
AU - Anna, Ika Deefi
AU - Vanany, Iwan
AU - Siswanto, Nurhadi
N1 - Publisher Copyright:
© 2024 ACM.
PY - 2024/4/24
Y1 - 2024/4/24
N2 - 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.
AB - 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.
KW - Food loss
KW - Food supply chain
KW - Literature review
KW - Optimization model
UR - http://www.scopus.com/inward/record.url?scp=85202718620&partnerID=8YFLogxK
U2 - 10.1145/3664968.3664989
DO - 10.1145/3664968.3664989
M3 - Conference contribution
AN - SCOPUS:85202718620
T3 - ACM International Conference Proceeding Series
SP - 168
EP - 173
BT - MSIE 2024 - 2024 6th International Conference on Management Science and Industrial Engineering
PB - Association for Computing Machinery
Y2 - 24 April 2024 through 26 April 2024
ER -