Title of article :
A model of the factors affecting supply chain resilience: an integrative approach incorporating hesitant fuzzy TOPSIS and meta-synthesis
Author/Authors :
Zare Ahmadabadi ، Habib Department of Management - Yazd University , Saffari Darberazi ، Ali Bam Higher Education Complex , Zamzam ، Fatemeh Department of Management - Yazd University , Babakhanifard ، Mohammad Sadegh Department of Industrial Management - Faculty of Economics - Shiraz University , Kiani ، Mehrdad Department of Management - Yazd University , Mofatehzadeh ، Elham Department of Management - Yazd University
From page :
195
To page :
211
Abstract :
A review of previous research shows that a systematic and comprehensive approach to the factors and dimensions of Supply Chain Resilience (SCR) has received less attention in this field. Therefore, this study aims to design a model of factors influencing SCR. This research is considered applied and development-oriented in terms of its objective, and it was conducted in the tile and ceramic industry in Yazd province. In doing so, the study primarily investigated publications indexed in scientific databases, extracting the factors affecting SCR through a systematic approach and the meta-synthesis method. Following that, a model was constructed that consisted of 33 factors falling under five dimensions: 1) production and distribution management, 2) communication and participative management, 3) financial and information management, 4) human resources management, and 5) risk and crisis management. The findings revealed that such factors as having a strong relationship with suppliers, using lean production and eliminating wastes, technological flexibility in production, implementing integrated Information Technology (IT) infrastructures in the SC, and safety stock of materials were the most critical factors affecting resilience in the SC. Generally speaking, what distinguishes this study from others in this field is the new and scientific framework of factors that it proposes through a systematic approach and the identification of the most important factors, which could serve as a guideline to senior managers and decision-makers.
Keywords :
Supply chain , Resilience , Meta , Synthesis , hesitant fuzzy TOPSIS
Journal title :
Journal of Applied Research on Industrial Engineering
Journal title :
Journal of Applied Research on Industrial Engineering
Record number :
2780003
Link To Document :
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