CIVILICA We Respect the Science
(ناشر تخصصی کنفرانسهای کشور / شماره مجوز انتشارات از وزارت فرهنگ و ارشاد اسلامی: ۸۹۷۱)

Genetic algorithm for supplier selection and optimal purchase pricing problem in a two-echelon supply chain given the demand curve

عنوان مقاله: Genetic algorithm for supplier selection and optimal purchase pricing problem in a two-echelon supply chain given the demand curve
شناسه ملی مقاله: ICMEI01_483
منتشر شده در کنفرانس بین المللی مدیریت، اقتصاد و مهندسی صنایع در سال 1394
مشخصات نویسندگان مقاله:

Hamed Hassanvand - Master degree in industrial engineering Raja University - Department of Financial Engineering, Qazvin, Iran
Jamal Farahmand Harami - Payame Noor University – Asaloyeh - Iran

خلاصه مقاله:
This paper investigated the operational issues of a two-echelon supply chain with multiple suppliers and multiple retailers under linear demand function/curve and retailer fixed markup pricing policy for each buyer/retailer. The operational decisions of the model are purchase price and quantity which determine the channel cost of the supply chain. To find out the optimal purchase price and quantity, a mathematical model is formulated for each buyer from several suppliers. Also, for using the genetic algorithm method to solve the formulated problem, the model was modified and then the best value of the parameters was derived. This research anticipates completing optimal parameter combination design in genetic algorithm using Taguchi method. Finally, a numerical example is given to illustrate the model

کلمات کلیدی:
Genetic algorithm; Two-echelon supply chain; Pricing; Linear demand function/curve; Taguchi method

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/409469/