Establishment of Intelligent Supply Chain System and Intelligent Scheduling Modeling in Food Industry

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Authors: Ying Yu, Mengya Zhang, Qingying Zhang, Yao Zhang
Cited by: 0

Abstract

Under the background of AI technology development and international trade war, supply chain capability has become an important part of the competitiveness of end products. After analyzing the status quo of food industry supply chain management under the background of AI development, this paper puts forward the necessity of improving supply chain competitiveness through intelligent supply chain system construction. In this paper, a complete intelligent supply chain model for food industry is systematically established, and the whole process from raw material procurement to product delivery is visualized, analyzable, decision-making and executable through a data-driven and model-optimized intelligent supply chain system. Combined with the actual scheduling process of food industry, the intelligent scheduling problem is modeled mathematically by taking MILP as an example. Inspire enterprises to improve overall efficiency, flexibility and customer satisfaction of supply chain by promoting intelligent supply chain in practice.

Fields of Study & Subjects

Impact of AI and Big Data on Business and Society Supply Chain and Inventory Management Scheduling and Optimization Algorithms

Publication details

Journal / source
Advances in transdisciplinary engineering
Publication date
14 January 2026
Document type
Book chapter