Supplier Selection and Order Allocation Research on Purchasing Management in Supply Chain Enterprises under the Total Just-in-Time Environment

Abstract

To optimize the supplier selection and order allocation procedures of purchasing management and improve their efficiency, this study employs mathematical statistics theory and optimization algorithm in building a two-stage analysis method implemented in MATLAB and LINGO software. Specifically, the AHP-EM and TOPSIS methods are used to select the suppliers in phase 1. The weights produced in stage 1 are applied to the multi-objective mixed-integer programming model to study the order allocation in phase 2. On the basis of an example, the impact of information sharing rate on supplier selection, order allocation, and total cost is determined. Finally, the solution to this problem under the total just-in-time environment is found to be better than that in the general environment. The study of this issue offers important theoretical and practical significance by extending supply chain management theory, improving the enterprise supply chain management level, and enhancing the core competitiveness of enterprises.