ارزیابی و اولویت‌بندی عوامل موثر در قابلیت اطمینان زنجیره تامین در صنعت نفت و پتروشیمی
محسن کیانی
1
(
)
حسین معین زاد
2
(
گروه مدیریت صنعتی و فناوری اطلاعات، دانشکده مدیریت، دانشگاه آزاد اسلامی، واحد تهران مرکزی، تهران، ایران
)
حسین ادب
3
(
دکتری مدیریت صنعتی دانشگاه آزاد تهران مرکزی
)
کلید واژه: زنجیره تامین, قابلیت اطمینان, صنعت نفت پتروشیمی, مدلسازی, ساختار تفسیری ,
چکیده مقاله :
در سالهای اخیر رویکردهایی مانند زنجیره تأمین ناب، چابک، تابآور، پایدار، شکست ناپذیر، لارج و بشردوستانه مطرح شده است. زنجیره تأمین و رویکردهایجدید آن هر یک برای پاسخ به برخی مشکلات و چالشهای تولید ارائه شده اند. از طرف دیگر نیاز کشور به فراورده های نفتی و کاربردهای آنها در حوزه هایمختلف و نیز مزیت کشور در این بخش، باعث شده است که ایران سرمایه گذاری چشمگیری در این حوزه کرده باشد. افزایش اثربخشی زنجیره تأمین صنعتنفت، وابسته به تأمین دستگاه ها و تجهیزاتی است که با کمک آنها بتوان این منابع فسیلی را به پالایشگاهها انتقال داد و با اجرای عملیاتهای مورد نظر،فراورده های مورد نیاز را تولید کرد. هر قدر بتوان این تجهیزات را در زمان کمتر و با کیفیت مناسب تهیه نمود زنجیره تأمین اثربخشتر شده و اهداف زنجیرهتأمین محقق میشود. در تحقیق حاضر، جهت افزایش بهره وری زنجیره تامین در صنعت نفت و پتروشیمی و با استفاده از رویکرد مدلسازی ساختار تفسیری؛ عوامل موثر بر این زنجیره مورد بررسی، ارزیابی و اولویت بندی قرار میگیرند تا بتوان با سطح‌بندی مناسب این عوامل استراتژی های مناسب را برای آن اتخاذ نمود.
چکیده انگلیسی :
In an era of increasing uncertainty and global competition, the reliability of supply chains in strategic industries such as oil and petrochemicals has become a critical concern. This study investigates the key factors influencing supply chain reliability in Iran’s oil and petrochemical sector, which is vital for national economic growth and global positioning. Utilizing a mixed-method approach, the research first applies grounded theory through interviews with ten industry experts to identify core factors impacting reliability. Subsequently, Interpretive Structural Modeling (ISM) and MICMAC analysis are used to evaluate interdependencies among these factors. The results highlight that structural and managerial dimensions are strong drivers of supply chain performance, while components such as entrepreneurship, competitive advantage, and value creation are highly dependent outcomes. A final quantitative analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM) confirms the validity and reliability of the proposed model. The findings offer a strategic framework for enhancing the reliability of supply chains through informed managerial and policy decisions, ultimately contributing to increased resilience and competitiveness in turbulent environments.
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