An Optimal Configuration of Agri-food Supply Chain Based on Labor Resource Constraints and Uncertain Demand

doi:10.3969/j.issn.1007-7375.2023.02.013

Abstract

Abstract: In order to explore the impacts of the COVID-19 pandemic on agri-food supply chain, a study is conducted on the optimal configuration of multi-stage agri-food supply chain under labor resource constraints and uncertain market demand. A nonlinear programming model is established. Taking a large enterprise of wheat and wheat flour derivatives supply chain as an example, the adaptive ant colony algorithm (ACA) is adopted to solve the model. The solutions obtained by the optimization tool Lingo are compared to verify the effectiveness of ACA. Finally, sensitivity analysis is conducted on different external market demand and labor resource constraints, and some important management implications are obtained.

Key words: agri-food supply chain, supply chain configuration, nonlinear programming, labor resource constraints, adaptive ant colony algorithm

CLC Number:

F274

NIE Duxian, TANG Jiayan, ZHAO Jinying, QU Ting. An Optimal Configuration of Agri-food Supply Chain Based on Labor Resource Constraints and Uncertain Demand[J]. Industrial Engineering Journal, 2023, 26(2): 111-122.

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