نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانش آموخته کارشناسی ارشد دانشگاه آزاد اسلامی، واحد قزوین، دانشکده مهندسی صنایع و مکانی ، قزوین، ایران
2 استادیار دانشگاه آزاد اسلامی، واحد قزوین، دانشکده مهندسی صنایع و مکانی ، قزوین، ایران
چکیده
در این تحقیق، به ارزیابی و انتخاب تأمینکنندگان باا اساتفاده از ویژگای هاا زنییاره تاأمین نااب چابا و –
تخصیص سفارش به تأمینکنندگان منتخا پرداتتاه مای شادد در مادل پیشانهاد ، تاأمین کننادگان باالقده باا
بکارگیر ی مدل چند هدفه فاز با تدجه به ویژگیها کلید زنییاره تاأمین نااب چابا ، از جملاه -
تدانایی در پاسخگدیی به تقاضاها، کاهش زمان تأتیر و هزینهها که از عدامل برنده باددن باازار در ایان ناد از
زنییره تأمین محسدب میشدند و همچنین با در نظر گرفتن ظرفیت و محدودیتهاا مدجادد بارا ساازمان و
تأمینکنندگان ارزیابی میگردند مدل ارائه شده، اجازه انتخاب چندین تأمین کننده را باه تریادار مای دهاد
همچنین، مدل پیشنهاد چند محصدلی بدده و چندین دوره را در نظر میگیرد به علت زمان زیاد بارا مساائل
با ابعاد بزرگ و عدم کارایی روشها دقیق با افزایش ابعاد مسأله، علاوه بر حال مساأله باه وسایله نارم افازار
لینگد از الگدریتم ژنتی برا رسیدن به جداب بهینه استفاده شده است
کلیدواژه‌ها
عنوان مقاله [English]
Presenting a fuzzy multi objective model to supplier evaluation and selection in leagile supply chain
نویسندگان [English]
- Mojgan Khorasani 1
- Abolfazl Kazemi 2
چکیده [English]
This paper investigates a supplier evaluation and selection model which considers features of leagile supply chain and allocates orders to the selected suppliers. In the proposed model, potential suppliers are evaluated by applying a multi-objective model with respect to the key features of leagile supply chain, including the ability to respond to demands, reducing delay time and costs (which are the winning factors for being the winner of market in this supply chain), as well as considering the capacities and limitations of organizations and suppliers. The proposed model allows buyer to select several suppliers. In addition, the model is multi-products and multi-periods. Due to long time and inefficiency of exact methods for large-sized problems, in addition to Lingo software, Genetic Algorithm is used to achieve the optimum solution
کلیدواژه‌ها [English]
- Supplier Selection
- Leagile supply chain
- genetic algorithm (GA)
- Demand allocation
- Taguchi method
6321 (، چاپ اول (
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