Developing a Model for Sustainability Assessment in LARG Supply Chains using System Dynamics
محورهای موضوعی : مجله بین المللی ریاضیات صنعتیM. Izadyar 1 , A. Toloie Eshlaghy 2 , A. R. Agha gholizadeh sayar 3 , Z. Mehri 4
1 - Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2 - Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran.
3 - Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran.
4 - Department of Accounting, South of Tehran Branch, Islamic Azad University, Tehran, Iran.
کلید واژه: System Dynamics, Fuzzy Analytic Network Process, Sustainability, LARG Supply Chain Management, Fuzzy DEMATEL,
چکیده مقاله :
Improving sustainability in supply chains is one of the strategic objectives in the current business. The purpose of this paper is to provide a model for assessing the sustainability performance of LARG supply chain management practices in the automotive supply chain using the dynamics system. In this paper, LARG supply chain management practices were identified and were prioritized using fuzzy DEMATEL and fuzzy analysis network process.
به دلیل رشد فشارهای جهانی برای پایدارشدن سازمانها در تمام سطوح سازمانی برای دستیابی به زنجیره تامین پایدار با شیوه های مدیریتی جدید روبرو هستند. هدف این مقاله فراهم آوردن مدلی برای ارزیابی عملکرد پایداری شیوه های مدیریت زنجیره تامین ناب، چابک، تاب آور و سبز (لارج) با استفاده از رویکرد پویایی سیستم می باشد. در این مقاله، شیوه های مدیریت زنجیره تامین لارج شناسایی و اولویت بندی می شوند با استفاده از دیمتل فازی و فرایند تحلیل شبکه ای فازی. یافته ها تحقیق نشان می دهد که سناریوهای بهبود در اجرای مدیریت کیفیت جامع، تولید به موقع، حمل و نقل انعطاف پذیر و سناریوی ترکیبی (تولید به موقع و روابط بلندمدت با با تامین کنندگان) منجر به پایداری بیشتر در زنجیره تامین می گردد. نتایج این سناریوها نشان دهنده بهبود پایداری در زنجیره تامین می باشد. همچنین نتایج نشان می دهد که استراتژی ناب د ر دستیابی به پایداری در زنجیره تامین بسیار مهم می باشد
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