نوع مقاله : ترویجی
نویسندگان
1 گروه مدیریت، واحد یزد، دانشگاه آزاد اسلامی، یزد، ایران
2 گروه مدیریت، دانشگاه میبد، میبد، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
In response to the ever-evolving business environments, industries have adopted flexible systems throughout their supply chains as a vital strategy for survival and growth. This study aims to identify key factors of supply chain flexibility, review the interpretive structural modeling method, and propose a new leveling rule. The proposed rule considers not only the influence and dependence of elements but also the weight of factors for leveling, enhancing the accuracy of the results and facilitating more precise interpretation. Through a literature review and textual content analysis, twelve supply chain flexibility factors were identified. To localize these factors in the automotive spare parts manufacturing industry, the Delphi method was utilized over three rounds. Data were collected using a questionnaire, with the statistical population consisting of specialists, managers, and experts active in the studied system. The interpretive structural modeling method was employed to design the structural model, where the key factors were initially leveled using the existing rule and subsequently by the proposed rule. Ultimately, the key factors were categorized into four groups using the dependence-influence diagram. The results indicated that demand management and flexibility in the produced product were identified as the most influential factors in the flexibility of the automotive spare parts supply chain. Industry managers are recommended to pay greater attention to these factors. Furthermore, implementing both leveling rules indicated that the outputs of both were identical. However, the proposed rule frees decision-makers from many unpleasant, time-consuming, and error-prone tasks associated with structuring complex systems.
کلیدواژهها [English]
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