شناسایی مؤلفه‌های اقتصاد مقاومتی در زنجیره تأمین تاب‌آور صنعت خودروسازی ایران

نوع مقاله: مقاله پژوهشی

نویسندگان

1 گروه مدیریت، دانشکده علوم انسانی، واحد ساوه، دانشگاه آزاد اسلامی، ساوه، ایران

2 گروه مدیریت صنعتی، واحد قزوین، دانشگاه آزاد اسلامی، قزوین، ایران

چکیده

هدف از انجام پژوهش حاضر شناسایی مؤلفه‌های اقتصاد مقاومتی در زنجیره تأمین تاب‌آور صنایع خودروسازی ایران با تکنیک دلفی فازی، وزن‌دهی و اولویت‌بندی هریک با تکنیک بهترین - بدترین و ارزیابی و رتبه‌بندی صنایع ایران‌خودرو، سایپا و پارس‌خودرو در خصوص میزان عملکرد بهره‌گیری از تاب‌آوری در زنجیره تأمین خود با تکنیک‌های مپک و کوالیفلیکس و تجمیع نتایج با تکنیک بُردا می‌باشد. جامعه و نمونه آماری پژوهش حاضر را 10 نفر از مدیران ارشد حوزه لجستیک در شرکت‌های خودروسازی تشکیل‌ می‌دهند. نتایج حاصل از غربال‌سازی مؤلفه‌ها با دلفی فازی نشان داد، الگوی بومی در شش بعد و چهل و دو شاخص شناسایی شدند. نتایج حاصل از وزن‌دهی به ابعاد تاب‌آوری زنجیره تأمین با تکنیک بهترین - بدترین نشان‌ داد، بعد مدیریت جهادی مهم‌ترین بعد تاب‌آوری زنجیره تأمین و بلوغ شایستگی رتبه دوم و چابکی، افزونگی، انعطاف‌پذیری و فرهنگ مدیریت ریسک به ترتیب رتبه‌های سوم تا ششم را کسب نمودند. همچنین شاخص‌های هر بعد نیز
وزن‌دهی و رتبه‌بندی شدند. سپس شرکت‌های خودروسازی با مدل پیشنهادی ارزیابی و با تکنیک‌های مپک و کوالیفلیکس رتبه‌بندی گردیدند. نتایج حاصل از تجمیع تکنیک‌ها با روش بردا نشان داد؛ ایران‌خودرو رتبه اول؛ سایپا رتبه دوم و پارس‌خودرو رتبه سوم را ازنظر میزان بهره‌مندی از تاب‌آوری زنجیره تأمین کسب نمودند.

کلیدواژه‌ها


عنوان مقاله [English]

Identification of Resistance Economics Components in Resiliency Supply Chain of Iranian Automotive Industry

نویسندگان [English]

  • Ammar Feyzi 1
  • Ehsan Sadeh 1
  • zeynolabdin Aminisabegh 1
  • Reza Ehtesham Rasi 2
1 Department of Management, Faculty of Humanities, Saveh Branch, Islamic Azad University, Saveh, Iran
2 Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran
چکیده [English]

The present study aimed to identify components of resistance economy index in the resilient supply chain of automotive industry in Iran by fuzzy Delphi technique, weight and prioritize them through the Best-Worst Method (BWM), and assess and rank Iran Khodro, Saipa and Pars Khodro Industrial Groups for their performance of using the resilience in supply chains through MAPPAC and QUALIFLEX techniques, and finally aggregate results by Borda technique. The present statistical sample and population consisted of 10 logistics senior managers in automotive companies. Results of screening strategies by a fuzzy Delphi method indicated that a native model had six dimensions and forty-two indices. According to results of weighting supply chain resilience strategy dimensions by the BWM, the Jahadi management was the most important dimension of the supply chain resilience, and then the merit maturity was put in the second place, and the agility, redundancy, flexibility and risk management culture were ranked third to sixth respectively. Indices of each dimension were also weighted and ranked. The automotive companies were then evaluated by the proposed model and through MAPPAC and QUALIFLEX techniques.The results of the techniquies integration by Borda method showed up, Iran Khodro got the first rank; Saipa got the second rank and Pars Khodro got the third rank in terms of supply chain resilience.

کلیدواژه‌ها [English]

  • Supply Chain
  • Resilient
  • Best-Worst Method (BWM)
  • Multicriterion Analysis of Preferences by menas of Pairwise Actions and Criterion comparisons (MAPPC)
  • QUALIFLEX techniques
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