سال انتشار: ۱۳۸۶

محل انتشار: اولین کنگره مشترک سیستم های فازی و سیستم های هوشمند

تعداد صفحات: ۶

نویسنده(ها):

Farshad Varasteh – Iran University of Science and Technology

چکیده:

Supply chain networks(SCN), consisting of manufacturers, distributors, retailers, and consumers, provide the critical infrastructure for the production of goods, their distribution, and their ultimate consumption in today’s globalized economies and societies. The network design problem is one of the most comprehensive strategic decision problems that need to be optimized for long-term efficient operation of whole supply chain. Supply chain network design is to provide an optimal platform for efficient and effective supply chain management. It usually involvesmultiple and conflicting objectives such as cost,
service level, resource utilization, etc. This paper proposes a solution procedure based on genetic algorithms to find the set of Paretooptimalsolutions for multi-objective SCN design problem.Finally, the algorithm is examined on an artificial company willing to develop its supply chain network and results are of satisfactory.