关键词: 农机制造企业, 供应商, JIT供应链, 动态可持续, 系统动力学, 可拓层次分析法

Abstract:  The traditional mode of agricultural machinery manufacturing industry supplier selection has subjectivity and lag. There is an urgent need to seek a dynamic, sustainable supply chain model under the agricultural machinery manufacturing industry procurement strategy. In order to solve the problem of not being able to select and evaluate suppliers scientifically and accurately, the causalanalysis method is used to analyze the influencing factors of supplier indicators from the JIT supply chain perspective. Combined with the characteristics of agricultural machinery manufacturing, a dynamic sustainable agricultural machinery supply chain collaborative purchasing model is constructed to simulate and compare the degree of influence of three types of supplier response speed on supply chain resilience, and the simulation results show that the supply chain robustness is better under the JIT mode. In turn, combined with the simulation results, the evaluation index system of agricultural machinery manufacturing supplier selection under the matching JIT supply chain mode is established from five key influence aspects, namely, cost control ability, product competitiveness, quality assurance ability, technology research and development ability, and collaborative cooperation and responsiveness, and a modeling method for the extension of the object elements extensible superiority is proposed to improve the extensible hierarchical analysis method. The method combines the entropybased EAHP and CRITIC applied to determine the weights of indicators at all levels, ranking, and program selection, establish a judgment matrix by using the number of intervals instead of the specific value, solve the problem of the ambiguity of subjective judgment, calculate the degree of superiority by using the correlation function, and compares and analyzes the overall superiority and inferiority of each supplier with the rank of the individual indicators, to determine the order of the suppliers superiority and inferiority and thus to select the most reliable and replaceable supplier. Finally, the optimal purchasing model match is calculated to be 0.963, the computational example study verifies the applicability and feasibility of the new method in the supplier selection problem.

Key words: agricultural machinery manufacturing enterprises, suppliers, JIT supply chain, dynamic sustainability, system dynamics, extension analytic hierarchy process