توسعه چارچوبی برای تصمیم‌گیری گروهی ارزیابی مسئولیت‌های اجتماعی تامین‌کنندگان در صنعت پتروشیمی - رویکرد تحلیل سلسله مراتبی توسعه یافته با اعداد فازی Z

نوروزی, اشرف

doi:10.61186/jii.2.2.127

توسعه چارچوبی برای تصمیم‌گیری گروهی ارزیابی مسئولیت‌های اجتماعی تامین‌کنندگان در صنعت پتروشیمی - رویکرد تحلیل سلسله مراتبی توسعه یافته با اعداد فازی Z

نوع مقاله : مقاله پژوهشی

نویسنده

اشرف نوروزی

گروه مهندسی صنایع، دانشکده فنی و مهندسی، دانشگاه اراک، اراک، ایران

10.61186/jii.2.2.127

چکیده

افزایش آگاهی‌های اجتماعی، انتظار از شرکت‌ها برای پذیرش مسئولیت‌های اجتماعی خود را افزایش داده است. با این‌وجود تحقیقات نسبتاً محدودی در زمینه ادغام جنبه‌های پایداری با تمرکز بر مسئولیت اجتماعی شرکت‌ها در انتخاب تامین‌کنندگان صورت پذیرفته است. این تحقیق ارائه‌دهنده یک مدل تصمیم‌گیری چند معیاره گروهی برای ارزیابی و رتبه‌بندی پیمانکاران بر مبنای معیارهای مسئولیت اجتماعی است. در این ارزیابی به مسئولیت اجتماعی از ابعاد گوناگون تعهدات اخلاقی، تعهدات به جامعه، تعهدات زیست‌محیطی، تعهد در مقابل کارکنان، و در قبال مشتریان پرداخته می‌شود. مدل پیشنهادی در یک مورد مطالعاتی واقعی در شرکت پتروشیمی شازند به کار گرفته‌شده است. رویکرد پیشنهادی برای این منظور توسعه تکنیک تحلیل سلسله مراتبی فازی با اعداد فازی Z است. مهم‌ترین مزیت به‌کارگیری اعداد فازی Z در تصمیم‌گیری‌های چند معیاره امکان لحاظ کردن درجه اطمینان به تصمیم‌گیرندگان مختلف در محاسبات است. ازاین‌رو تکنیک پیشنهادی می‌تواند به‌سادگی در توسعه سایر تکنیک‌های چند معیاره و نیز سایر زمینه‌های کاربردی که با درجات مختلف اطمینان به گروه‌های مختلف خبرگان روبرو هستند، به کار گرفته شود. نتایج حاصل می‌تواند به سازمان در انتخاب تامین‌کنندگانی که معیارهای مسئولیت اجتماعی را به‌خوبی برآورده می‌سازند، کمک کرده و از این طریق در دستیابی به اهداف پایداری سازمان یاری نماید و درنهایت به بهبود رقابت‌پذیری و حسن شهرت شرکت منجر شود.

کلیدواژه‌ها

مسئولیت اجتماعی شرکت

تامین‌کننده پایدار

روش تحلیل سلسله مراتبی

اعداد فازی Z

صنعت پتروشیمی

عنوان مقاله English

A Group Decision-Making Framework for Evaluating Suppliers' Social Responsibilities in the Petrochemical Industry – Fuzzy Z AHP Approach

نویسنده English

Ashraf Norouzi

Department of industrial engineering, Faculty of Engineering, Arak University, Arak, Iran.

چکیده English

Increasing social awareness has raised expectations for companies to embrace their social responsibilities. Corporate social responsibility (CSR) is the concept that organizations take into account the interests of society through being responsible for the impact of their activities on customers, suppliers, employees, shareholders, and the broader community and environment in which they operate. This commitment goes beyond legal obligations, whereby organizations take meaningful steps to improve the quality of life of employees, customers, and other stakeholders. However, limited research has focused on integrating sustainability and corporate social responsibility in supplier selection literature. This research presents a group multi criteria decision making model to evaluate and rank contractors based on social responsibility criteria. This evaluation examines social responsibility from various dimensions of moral responsibilities, societal responsibilities, environmental responsibilities, and commitments to employees and customers. The proposed model is applied in a real case study at Shazand Petrochemical Company. The suggested approach is to develop a fuzzy analytical hierarchy process technique using fuzzy Z numbers. The key advantage of using fuzzy Z numbers in multi-criteria decision-making is the possibility of considering the confidence levels of various decision-makers in the calculations. Therefore, the proposed technique can be easily applied in developing other multi-criteria techniques as well as other applications that deal with diverse groups of experts with varying degrees of confidence. The results can help the organization in selecting socially responsible suppliers, and in this way helping in the achievement of sustainability goals and enhancing the company's competitiveness and reputation.

کلیدواژه‌ها English

Corporate social responsibility

Sustainable supplier

Analytical hierarchy process

fuzzy Z-numbers

Petrochemical industry

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