چکیده:
This article investigates the selection of a cooperation model with suppliers and the continuous monitoring of the collaboration strategy over time by tracking the supplier's performance. A multiple fuzzy profile monitoring model is proposed and implemented in two stages to oversee the supplier’s unforeseen costs. In the first stage, criteria and indicators for evaluating the delivery process and quality are identified based on literature reviews and expert opinions from industry leaders. In the second stage, a two-phase monitoring approach is adopted. First, using the T² method, the model’s parameters based on successive differences are calculated and separately monitored for the multiple fuzzy profiles of delivery and quality processes. In the second phase, the likelihood ratio method is applied to track the profiles over time, enabling the control chart to signal any warning in the shortest possible time. In the final stage, the results from the fuzzy profiles of delivery and quality processes, combined with artificial intelligence and the fuzzy inference system tool, are used to monitor unforeseen costs, make decisions regarding the supplier, and assess the adopted strategy. This model has been implemented in Iran's automotive industry, specifically within Iran Khodro Company and its gearbox parts supplier, Niromoharkeh Company.
خلاصه ماشینی:
, 2016, Using strategic relationships to evaluate performance, Qualitative method and library studies 14, Green supply chain performance measurement using the analytic hierarchy process: A comparative analysis of manufacturing organisations, 2013, The importance of outsourcing non-core business processes abroad to increase the ability to effectively manage relationships with suppliers, Library studies 15, Present Article: Designing a model for selecting and monitoring the supplier cooperation strategy using fuzzy profile monitoring of unforeseen costs, 2024, Integrating the selection of the supplier cooperation model and monitoring this strategy over time with supplier performance monitoring ✓ Considering, Profile monitoring, successive difference-based method, maximum likelihood method, fuzzy inference system Number, Title, Year, Goals and Achievements, Methods and Tools , , , delivery time characteristics and supplier quality as criteria for unforeseen supplier costs in the form of a fuzzy regression function with several independent variables Achieving a definition of statistically controlled conditions in the supplier monitoring process Using the capacity of artificial intelligence and fuzzy inference systems combined with fuzzy profile charts and selecting and monitoring the supplier cooperation strategy, Research Innovation Aspect Most reviewed articles investigate the impact of the type of selection and the cooperation strategy model with the supplier on its performance, or they proceed to monitor and evaluate supplier performance without considering the cooperation model.
In this article, by using multiple fuzzy profile monitoring, once the delivery time variable and another time the quality response variable are monitored it is processed, and based on the separate results of these two monitorings and using a fuzzy inference system, the monitoring of unforeseen costs and decision-making regarding the type of interaction and cooperation model with the supplier is addressed.
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