کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7541729 1489051 2018 37 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Supply Chain Resilience: Definitions and quantitative modelling approaches - A literature review
ترجمه فارسی عنوان
انعطاف پذیری زنجیره تامین: تعاریف و روش های مدل سازی کمی - بررسی ادبیات
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
چکیده انگلیسی
Resilience is currently an increasing concern in supply chain (SC), caused by their globalization, which is subject to diverse types of disturbances. Such disturbances need to be handled in the right way, compelling the use of tools that can support resilient supply chain decisions. To comprehend how the academic community has been treating such concern we developed a systematic literature review on SC resilience, focusing on the analysis of the development of quantitative methods to support such decisions. A content analysis was performed, in an identified sample of 39 papers, exploiting a solid methodology in the preparation; collection; and analysis of the information obtained. Additionally, published SC resilience definitions were examined and, as result, it was found that there is no consensus in the literature. A sound definition is then proposed, which is supported by a comprehensive framework that includes the four main identified SCR elements: focus event; adaptive framing or adaptive response; speed; performance level. Moreover, it was concluded that the use of quantitative models, although recognised with high relevance in SC resilience, should be further researched as most of the published work explores the conceptualization of only a limited number of resilience elements, lacking the development of integrated holistic approaches. These should simultaneously address the main supply chain characteristics and SC resilience elements. Future directions for the academic community are presented, aiming to guide future research work in the area.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Industrial Engineering - Volume 115, January 2018, Pages 109-122
نویسندگان
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