Measuring Supply Network Resilience Using a Mixed Approach (Case Study: Oil and Gas Companies)
محل انتشار: فصلنامه بررسی تجارت نفت، دوره: 3، شماره: 1
سال انتشار: 1398
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 310
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شناسه ملی سند علمی:
JR_PBR-3-1_006
تاریخ نمایه سازی: 22 آذر 1399
چکیده مقاله:
Today, random and intelligent risks have made supply management disruptive much more than before. Over the past decade, many supply network (SN) disruptions in oil and gas industry have been due to the deliberate risks posed by international sanctions. Undoubtedly, resilience in general and resilience of SN in particular has been a systematic approach for firms and organizations to deal with disruptions. This study aimed to measure, assess and compare the resilience of SNs in oil and gas companies based on mixed approach: Systematic Literature Review (SLR) and Complex Adaptive Systems (CAS). The statistical population of the study consisted of 11 subsidiaries of the National Iranian Oil Company. A robust systematic review of the literature was conducted to collect all the crucial components of supply network resilience (SNR) from 608 articles that ultimately resulted in 40 key factors based on the context-intervention-mechanism-outcome logic (CIMO-logic). Quantitative analysis was carried out in the upstream sector of 3 subsidiaries of Iranian Central Oil Fields Company (ICOFC) including South Zagros, East and West Oil and Gas Production Companies. The results demonstrated a relationship between components and their measurement in upstream companies. A further finding is that South Zagros Oil and Gas Production Company was more resilient than the other two companies.
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نویسندگان
Hadi Salami
Phd Student, Production and Operations Management, Industrial Management Department, Yazd University, Yazd, Iran
Seyed Haidar Mirfakhradini
Associate Professor, Industrial Management Department, Yazd University, Yazd, Iran
Davood Andalib Ardakani
Assistant Professor, Industrial Management Department, Yazd University, Yazd, Iran
Seyed Mahmoud Zanjirchi
Associate Professor, Industrial Management Department, Yazd University, Yazd, Iran