شناسایی مؤلفه¬های انتخاب تأمین¬کنندگان در شبکه تأمین تاب¬آور پروژه¬های نفت و گاز ایران تحت محیط عدم اطمینان
محورهای موضوعی : مدیریت صنعتی
حمیدرضا کریمی
1
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صابر خندان
2
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ندا فرح بخش
3
1 - دانشجوی دکتری مدیریت صنعتی گراش تولید و عملیات،واحد رودهن، دانشگاه آزاد اسلامی، ایران
2 - مدیریت صنعتی، مدیریت و حسابداری، دانشگاه آزاد اسلامی رودهن، رودهن، ایران
3 - گروه مدیریت، دانشکده حسابداری و مدیریت، واحد رودهن، دانشگاه آزاد اسلامی،رودهن، ایران
کلید واژه: پروژه های نفت و گاز, تاب آوری, تأمین کنندگان, تصمیم گیری چند شاخصه, شبکه تأمین, منطق فازی.,
چکیده مقاله :
هدف از انجام مقاله حاضر شناسایی مؤلفه¬های انتخاب تأمین¬کنندگان در شبکه تأمین تاب¬آور پروژه¬های نفت و گاز ایران با تکنیک دلفی فازی، وزن¬دهی و اولویت¬بندی هریک با تکنیک بهترین – بدترین فازی و ارزیابی و رتبه‌بندی گزینه¬ها (تأمین¬کنندگان) در خصوص میزان تاب¬آوری در شبکه تأمین پروژه¬های نفت و گاز ایران با تکنیک¬های مَپَک و کُوالیفلیکس و تجمیع نتایج با تکنیک بُردا می¬باشد. جنبه نوآوری و جدید بودن پژوهش حاضر بهره¬مندی از منطق فازی، در نظر گرفتن تاب¬آوری تأمین¬کنندگان و ترکیب آن با تکنیک¬های تصمیم¬گیری چند شاخصه در معرفی مدل بومی انتخاب تأمین¬کنندگان صنعت نفت و گاز ایران است. جامعه و نمونه آماری پژوهش حاضر را 23 نفر از مدیران ارشد حوزه لجستیک در صنایع نفت و گاز ایران تشکیل¬ می¬دهند. نتایج حاصل از غربال¬سازی مؤلفه¬ها با دلفی فازی نشان داد، الگوی بومی در شش معیار و سی و هفت زیرمعیار شناسایی شدند. نتایج حاصل از وزن¬دهی به ابعاد انتخاب تأمین¬کنندگان تاب¬آور با تکنیک بهترین – بدترین فازی نشان¬ داد، معیار انعطاف¬پذیری (تاب¬آوری) مهم‌ترین معیار و قیمت و هزینه (معیار اقتصادی)، رتبه دوم و چابکی، خدمات تأمین¬کننده، ویژگی و ظرفیت تأمین¬کننده و کیفیت و تکنولوژی به ترتیب رتبه¬های سوم تا ششم را کسب نمودند. همچنین زیرمعیارهای هر معیار نیز وزن¬دهی و رتبه¬بندی شدند. سپس پیمانکاران تأمین¬کننده ابزار دقیق در صنعت نفت و گاز ایران با مدل پیشنهادی ارزیابی و با تکنیک¬های مپک و کوالیفلیکس رتبه¬بندی گردیدند.
The purpose of this paper is to identify the components of selecting suppliers in the resilient supply network of Iran's oil and gas projects with the fuzzy Delphi technique, weighting and prioritizing each one with the fuzzy best-worst technique and evaluating and ranking the options. (suppliers) regarding the level of resilience in the supply network of Iran's oil and gas projects with Mapak and Covaliflex techniques and summarizing the results with Borda technique. The aspect of innovation and novelty of the current research is the use of fuzzy logic, consideration of supplier resilience and its combination with multi-indicator decision-making techniques in introducing the local model of supplier selection in Iran's oil and gas industry. The population and the statistical sample of the present study are 23 senior managers in the field of logistics in Iran's oil and gas industries. The results of component screening with fuzzy Delphi showed that indigenous patterns were identified in six criteria and thirty-seven sub-criteria. The results of weighting the dimensions of selecting resilient suppliers with the fuzzy best-worst technique showed that the criterion of flexibility (resilience) is the most important criterion, and price and cost (economic criterion), the second rank, and agility. Supplier services, supplier characteristics and capacity, and quality and technology were ranked third to sixth respectively. Also, the sub-criteria of each criterion were weighted and ranked. Then, the contractors supplying precision instruments in Iran's oil and gas industry were evaluated with the proposed model and ranked with MAPPAK and Qualiflix techniques.
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