چکیده مقاله
Supply chain network design is a fundamental problem for most organizations The optimization of the network allows for efficient management of operations in the entire supply chain The supply chain involves all activities concerning the flow of goods from raw material to delivery to the consumer, as well as the flow of information throughout the process This study investigates a three level supply chain with a single period model comprising a number of manufacturers and a set of distributors and consumers A novel methodology was presented to limit the random behavior of genetic operators in solving the problem The problem was modeled aiming to minimize the total cost of the system Moreover, the production capacity was considered limited and insufficiency was assumed unacceptable Given their inherent complexity, this category of problems is recognized as NP hard type Therefore, this study employed an improved genetic algorithm to solve the problem that—according to the results—was found to be highly effective
کلیدواژهها
نویسندگان
mohammad saraei
Islamic Azad university of arak, Arak,iran
seyed ali ghaheri
Islamic Azad university of malayer ,Malayer,iran
Khaled mohammad
University of Abadan Oil Industry, Abadan,iran
شیوه ارجاع
saraei, mohammad and ghaheri, seyed ali and mohammad, Khaled,1398,Three-layer supply chain management using an improved genetic algorithm,Sixth National Congress on Electrical Engineering and Computer Engineering of Iran with a New Approach to New Energy,Tehran
ارائهشده در
مجموعه مقالات ششمین کنگره ملی تازه های مهندسی برق و کامپیوتر ایران با نگاه کاربردی بر انرژی های نو12 اردیبهشت 1398 · تهران