نوع مقاله : مقاله پژوهشی
نویسندگان
دانشکده مدیریت و مهندسی صنایع، دانشگاه صنعتی مالک اشتر، تهران، ایران.
چکیده
هدف: این تحقیق یک مدل ریاضی چندهدفه استوار، با در نظرگرفتن هم زمان هزینه و ریسکهای مربوط به محیطزیست (مصرف آب و آلودگی محیطزیست)، اجتماع (شرایط کاری و سلامت کارکنان)، ریسکهای عملیاتی (تغییر نرخ تقاضا و نرخ برگشت محصولات) و نیز ریسک اختلال (حوادث و بیماریها مانند کرونا) در زنجیرهتامین و استفاده از همکاری افقی برای مقابله با آن ارایه میکند.
روششناسی پژوهش: در این تحقیق از مدلسازی برنامهریزی خطی عدد صحیح آمیخته و تکنیکهای بهینهسازی استوار برای طراحی شبکه زنجیرهتامین حلقه بسته استفاده شده و یک روش چندهدفه برای حل مساله و ایجاد فضاهای پارتویی توسعه داده شده است.
یافتهها: نتایج محاسبات نشاندهنده میزان اثرگذاری احتمال خرابی بر میزان ظرفیت تسهیلات و نیز هزینه کل شبکه و میزان همکاری بین اعضای زنجیرهتامین برای مقابله با ریسک، میباشد. همچنین میزان هزینه موردنیاز برای تخصیص به تسهیلات قابلاطمینان و نامطمئن و نیز ایجاد فضای پارتویی مناسب برای تصمیمگیری در خصوص انتخاب بهینه تسهیلات، ظرفیت و جریان بین آنها و تکنولوژی تولید آهن و فولاد، با توجه به شاخصهای پایداری و مسئولیتپذیری اجتماعی، از دیگر یافتههای تحقیق میباشد.
اصالت/ارزش افزوده علمی: در این مطالعه برای نخستین بار طراحی شبکه استوار، پایدار و تابآور آهن و فولاد تحت ریسکهای مختلف و بهصورت همزمان موردمطالعه قرار گرفته است. از همکاری افقی بهعنوان رویکردی جدید برای مقابله با ریسک بهره گرفته شده است و روش حلی برای مسایل چندهدفه توسعه یافته که با استفاده از نتایج این مطالعه تصمیمگیرنده با در نظرگیری میزان مطلوبیت برای هر یک از اهداف، میتواند تصمیمات آگاهانهای در خصوص زنجیرهتامین تحت شرایط ریسک داشته باشد.
کلیدواژهها
موضوعات
عنوان مقاله [English]
A sustainable and reliable model for iron closed-loop supply chain network design with considering risk and lateral transmision and developed multi-objective decision-making method
نویسندگان [English]
- Hamid Saffari
- Morteza Abbasi
- Jafar Gheidar-Kheljani
Faculty of Management and Industrial Engineering, Malek Ashtar University of Technology, Tehran, Iran.
چکیده [English]
Purpose: This research proposes a multi-objective and robust model considering both cost and risks related to the environment (water consumption and environmental pollution), social responsibility (working conditions and employee health), operations (change in demand and return rates), and disruption (accs and diseases such as COVID-19) in the supply chain, using horizontal collaboration to deal with it.
Methodology: In this research, mixed-integer linear programming and robust optimization technique have been used for closed-loop supply chain network design and a multi-objective method has been developed to solve the problem and create Pareto spaces.
Findings: The results of the calculations show the effect of failure probability on the capacity of the facility, the total cost of the network and the degree of collaboration between members of the supply chain to deal with the risk. Also, the amount of cost required for allocation to reliable and unreliable facilities and also creating a suitable Pareto space for deciding on the optimal choice of facilities, capacity and flow between them and iron and steel production technology, according to sustainability and social responsibility indicators, are other research findings.
Originality/Value: In this study, for the first time, the design of a robust, sustainable, and resilient network of iron and steel under different risks has been studied. Horizontal collaboration has been used as a new approach to deal with risk and solution method for multi-objective problems has been developed. Using the results of this study, the decision-maker can make informed decisions about the supply chain under risk conditions by considering suitability for each of the objectives.
کلیدواژهها [English]
- Robust optimization
- Iron and steel supply chain
- Sustainable supply chain network design
- Risk management
- Collaboration
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