Document Type : Research Paper
Authors
1 PhD Student Department of Industrial Engineering, Faculty of management and Industrial Engineering, Malek Ashtar University of Technology, Tehran, Iran
2 Assistant Professor, Department of Industrial Engineering, Faculty of management and Industrial Engineering, Malek Ashtar University of Technology, Tehran, Iran
3 Associate Professor, Department of Industrial Engineering, Faculty of management and Industrial Engineering, Malek Ashtar University of Technology, Tehran, Iran
Abstract
This article examines the selection of the cooperation model with the supplier and monitoring the cooperation strategy over time by continuously monitoring the performance of the supplier over time. For this purpose, a multiple fuzzy profile monitoring model is presented in two stages for monitoring the supplier's unforeseen costs. In the first step, criteria and indicators to evaluate the delivery process, quality are extracted according to library resources and the opinion of experts and elites of the industry. In the next step, in the first phase of monitoring, using the T^2 method, the parameters of the model based on successive differences are calculated and monitored separately for the multiple fuzzy profile of the delivery process and quality, and in the second phase, the likelihood ratio method is used to monitor the profiles in a phased manner. It is used over time so that if there is a warning, the control chart will show it in the shortest possible time. In the last stage, using the results of the fuzzy profiles of the delivery and quality process and using artificial intelligence and the tool of the fuzzy inference system, it is used to monitor the unforeseen costs and make a decision about the supplier and monitor the adopted strategy. This model has been implemented in the automotive industry of Iran Khodro Company and the supplier of gearbox parts by Niromoharkeh Company.
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