A Multi-Objective Green Supply Chain: Multi-Product Model Considering Uncertainty
محورهای موضوعی : مجله بین المللی ریاضیات صنعتی
D. Khodadadian
1
,
R. Radfar
2
,
A. Tolooei Eshlaghi‎
3
1 - Department of Management, Doroud Branch, Islamic Azad University, Doroud, Iran.
2 - Management and Economic Department, Science and Research Branch, Islamic Azad University, Tehran, Iran.
3 - Management and Economic Department, Science and Research Branch, Islamic Azad University, Tehran, Iran.
کلید واژه: Epsilon Constraint, Non-dominated Sorting Genetic Algorithm, Uncertainty, Green supply chain, Multi-objective optimization,
چکیده مقاله :
The purpose of this research is to provide a mathematical model for designing the purchase, production, and distribution in a multi-level and multi-product supply chain network such that the environmental impact and total costs of supply chain is minimized and the customers' satisfaction level is maximized. According to the results, the proposed NSGAII is a reliable method to find efficient Pareto frontiers in a reasonable time.
افزایش آلودگی زیست‌محیطی که موجب گرم شدن کره زمین شده است و برای سلامت انسان و تخریب محیط‌زیست خطرناک است، باعث نگرانی بسیاری از طراحان و مدیران زنجیره تأمین‌شده است. هدف این پژوهش ارائه یک مدل ریاضی برای طراحی خرید، تولید و توزیع در یک شبکه زنجیره تأمین چند سطحی و چند محصولی است که تأثیرات زیست‌محیطی و هزینه‌های کلی زنجیره تأمین به حداقل برساند و سطح رضایت مشتری به بالاترین سطح برسد. عدم اطمینان تقاضا به خاطر نامشخص بودن سطح تقاضا به نظر مشکل‌ساز است. با توجه به پیچیدگی مدل ریاضی پیشنهادی و سختی‌های حل مسئله با روش‌های دقیق در اندازه بزرگ، یک NSGA II پیشنهادشده است. برای ارزیابی NSGA II پیشنهادی، 5 نمونه در اندازه‌های مختلف ساخته می‌شود و به‌وسیله روش محدودیت اپسیلون و NSGAII حل می‌شود. بر اساس نتایج به‌دست‌آمده، NSGA II پیشنهادی یک روش قابل‌اطمینان برای یافتن مرزهای پارتویی کارآمد در زمان قابل‌قبول محسوب می‌شود.
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