IJE TRANSACTIONS B: Applications Vol. 30, No. 8 (August 2017) 1160-1169   

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M. Fazli-Khalaf and A. Hamidieh
( Received: August 09, 2016 – Accepted in Revised Form: July 07, 2017 )

Abstract    Social responsibility is a key factor that could result in success and achieving great benefits for supply chains. Responsiveness and reliability are important social responsibility measures for consumers and all stakeholders that strategists and company managers should be concerned about them in long-term planning horizon. Although, presence of uncertainties as an intrinsic part of supply chains could adversely affect the best set plans by field experts. Accordingly, uncertainty of parameters and uncertainties caused by disruptions should be regarded in planning process of networks to prevent unpredictable negative consequences of such uncertainties for all echelons of supply chain. Based on enumerated matters, the aim of this paper is to design a reliable multi-echelon closed loop supply chain network model that maximizes social responsibility while minimizing fixed establishing and variable processing costs of network design. To cope with uncertainty of parameters, stochastic programming is applied and an effective reliable modelling method is employed to appropriately control unpleasant economic impacts of disruptions. Notably, an efficient robust programming method is applied to give the decision makers the capability to control level of risk-averseness of decisions while modelling uncertain parameters. Finally, the proposed model is solved and its outputs are analyzed on the basis of generated test problems which shows correct performance and applicability of extended model in real world problems.


Keywords    supply chain, reliability, social responsibility, robustness, stochastic programming


چکیده    مسئولیت اجتماعی یک فاکتور کلیدی است که منجر به دست­یابی به موفقیت و سود زیاد برای زنجیره­های تامین می­گردد. پاسخ­گویی و پایایی[ah1] ، سنجه­های مهم مسئولیت اجتماعی برای تمامی سهام داران و مشتریان می­باشند که استراتژیست­ها و مدیران سازمانها باید در مورد آن­ها در برنامه­ریزی بلند مدت نگران باشند. گرچه، وجود عدم قطعیت­ها به عنوان یکی از اجزای جداناپذیر زنجیره­های تامین می­تواند به صورت معکوس، بهترین برنامه­های تنظیم شده توسط خبره­های حوزه را تحت تاثیر قرار دهد. بر طبق آنچه گفته شد، عدم قطعیت پارامترها و عدم قطعیت ایجاد شده توسط اختلالات باید در فرایند برنامه­ریزی شبکه­ها مدنظر قرار گیرد تا از نتایج منفی غیرقابل پیش­بینی مربوط به عدم قطعیت­های ذکر شده، برای تمامی سطوح زنجیره­های تامین جلوگیری گردد. بر اساس موارد ذکر شده، هدف این مقاله، طراحی یک مدل شبکه زنجیره تامین حلقه­­بسته پایای چند سطحی می­باشد که مسئولیت اجتماعی را در کنار کمینه سازی هزینه­های ثابت احداث و متغیر عملیاتی طراحی شبکه، بیشینه می­نماید. برای مواجهه با عدم قطعیت پارامترها، برنامه ریزی احتمالی به کار گرفته شده است و از یک رویکرد کارای مدل­سازی پایا استفاده شده است تا بتوان به طور مناسب اثرات نامطلوب اختلالات را کنترل نمود. لازم به ذکر است که از یک رویکرد کارای برنامه­ریزی استوار استفاده شده است تا بتوان قابلیت کنترل سطح ریسک گریزی تصمیمات زمانی که پارامترها به صورت غیرقطعی مدل­سازی می­شوند را به تصمیم گیرندگان داد. در نهایت، مدل توسعه داده شده حل شده و خروجی­های آن بر اساس مسائل نمونه تولید شده آنالیز شده­اند که عملکرد صحیح و قابلیت به کارگیری مدل توسعه داده شده در مسائل واقعی را نشان می­دهد.



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