مقاله انگلیسی رایگان در مورد ارزیابی مدیریت ریسک زنجیره تامین با استفاده از تاپسیس فازی – الزویر 2018

 

مشخصات مقاله
ترجمه عنوان مقاله ارزیابی مدیریت ریسک زنجیره تامین با استفاده از یک تاپسیس فازی یکپارچه – رویکردی انتقادی
عنوان انگلیسی مقاله Evaluation of sustainable supply chain risk management using an integrated fuzzy TOPSIS – CRITIC approach
انتشار مقاله سال 2018
تعداد صفحات مقاله انگلیسی 19 صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) scopus – master journals – JCR
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
5.651 در سال 2017
شاخص H_index 132 در سال 2018
شاخص SJR 1.467 در سال 2018
رشته های مرتبط مدیریت، مهندسی صنایع
گرایش های مرتبط مدیریت ریسک، مدیریت استراتژیک، لجستیک و زنجیره تامین
نوع ارائه مقاله
ژورنال
مجله / کنفرانس مجله تولید پاک – Journal of Cleaner Production
دانشگاه Department of Management – Islamic Azad University – Urmia – Iran
کلمات کلیدی پایداری، مدیریت ریسک زنجیره تامین، مجموعه های فازی، تاپسیس، منتقد
کلمات کلیدی انگلیسی Sustainability, Supply chain risk management, Fuzzy sets, TOPSIS, Critic
شناسه دیجیتال – doi
https://doi.org/10.1016/j.jclepro.2017.12.071
کد محصول E10342
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract
Keywords
1 Introduction
2 Review of literature
3 Research framework and the case study
4 Methodology
5 Results
6 Conclusion
Acknowledgment
Appendix 1.
References

بخشی از متن مقاله:
abstract

Supply chain risk management research has mainly mistreated the important of sustainability issues. Moreover, there is little knowledge about sustainable management of risk and supply chain and the way they impose losses for firms. Risk management’s duty in the supply chain is to identify, analyze, and provide solutions for accountability, control and monitor the risks in the economic and production cycle. This study aims to develop a framework for the sustainable supply chain risk management (SSCRM) evaluation. To this end, an integrated fuzzy multi-criteria decision-making (MCDM) approach is proposed based on the technique in order of preference by similarity to ideal solution (TOPSIS) and criteria importance through inter-criteria correlation (CRITIC) methods. The literature was reviewed and the potential criteria were identified. Through an expert panel the criteria were filtered. Seven main criteria and forty-four sub-criteria were developed for the final evaluation SSCRM framework. The most dominant sub-criteria in each group found to be as; machines & equipment risks, key supplier failures, demand fluctuations, government policy risks, IT security, economic issues, and lack of proper sewage infiltration. Besides, A2 (Nouri complex) found to be the best practitioner. The methodology is successfully implemented in a real case company. The detailed account of implications and limitations are presented as the concluding remarks.

Introduction

Todays, organizations have acknowledged the significance of ecological thinking and sustainability in business due to the quality uprising and supply chain (Mangla et al., 2015b; Seuring and Müller, 2008) and it is turn out to be the most important subjects in the modern study of operations management (Lim et al., 2017; Rajeev et al., 2017; Stindt, 2017). Attention to the issues related to risks has been grown because the number of relevant uncertainties has increased. The essence and the type of uncertain developments or the influence of any action have become difficult or even impossible to forecast because modern supply chains’ interrelation and communication have been increased (Fahimnia et al., 2015). Additionally, following factors, in general, displayed a loss of readiness for supply chain managers coming to uncertain developments: political issues, technological replacement, demand fluctuations and major disruptions such as flooding, earthquake, global financial crisis, and tsunami. Company’s sustainability highly depends on its purchasing, and supply management function highly depends on implementing sustainable supply (Schneider and Wallenburg, 2012). It has been stated that the adoption and implementation of green supply chain (GSC) not only helps industries to conserve resources, which in turn enhances their ecological and economic performances, but also it corporates the sustainable development of industries (Hu and Hsu, 2010; Mangla et al., 2015b; Rostamzadeh et al., 2015).

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