USING A GENETIC ALGORITHM APPROACH FOR DESIGNING MULTI- OBJECTIVE SUPPLY CHAIN NETWORK

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NOTASH MOHSEN; ZANDIEH MOSTAFA; DORRI NOKORANI BEHROOZ

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Journal: Management Research in Iran Year:2015 | Volume:18 | Issue:4 Page(s): 184-203

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Title

USING A GENETIC ALGORITHM APPROACH FOR DESIGNING MULTI- OBJECTIVE SUPPLY CHAIN NETWORK

Author(s)

NOTASH MOHSEN | ZANDIEH MOSTAFA | DORRI NOKORANI BEHROOZ | Issue Writer Certificate

Keywords

INTEGRATED LOGISTICSQ3

MULTI- OBJECTIVE OPTIMIZATIONQ2

GENETIC ALGORITHMQ2

NON-DOMINATED SORTING GENETIC ALGORITHM-IIQ2

Abstract

One of the organizations' fundamental issues is supply chain network design. Optimization of this network can lead to effective management of the whole supply chain. Network design specifies the position, capacity, number and type of network facilities, and transportation network of materials and products from the supplier to the customer and vice versa. This research proposes new solution procedure based on Multi-objective GENETIC ALGORITHM (MOGA) and Non-dominated Sorting GENETIC ALGORITHM-II (NSGAII) to find the set of Pareto optimal solutions that empowers the decision- makers by alternative solutions. Considering that in this study the level of service is very important, so this modeling was based on satisfying all customer demands. Objectives for network optimization are minimization of total cost and maximization of capacity utilization balance for network facilities that lead to the reduction of customers’ service time (increase service levels). Nine problems were designed from small to large. In order to compare the quality of the obtained Pareto solutions of both algorithms, seven criteria (for multi-objective problems) were used in this study. The results indicated that the solutions produced by NSGAII algorithm have higher quality.

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APA: Copy

NOTASH, MOHSEN, ZANDIEH, MOSTAFA, & DORRI NOKORANI, BEHROOZ. (2015). USING A GENETIC ALGORITHM APPROACH FOR DESIGNING MULTI- OBJECTIVE SUPPLY CHAIN NETWORK. MANAGEMENT RESEARCH IN IRAN (MODARES HUMAN SCIENCES), 18(4), 184-203. SID. https://sid.ir/paper/355918/en

Vancouver: Copy

NOTASH MOHSEN, ZANDIEH MOSTAFA, DORRI NOKORANI BEHROOZ. USING A GENETIC ALGORITHM APPROACH FOR DESIGNING MULTI- OBJECTIVE SUPPLY CHAIN NETWORK. MANAGEMENT RESEARCH IN IRAN (MODARES HUMAN SCIENCES)[Internet]. 2015;18(4):184-203. Available from: https://sid.ir/paper/355918/en

IEEE: Copy

MOHSEN NOTASH, MOSTAFA ZANDIEH, and BEHROOZ DORRI NOKORANI, “USING A GENETIC ALGORITHM APPROACH FOR DESIGNING MULTI- OBJECTIVE SUPPLY CHAIN NETWORK,” MANAGEMENT RESEARCH IN IRAN (MODARES HUMAN SCIENCES), vol. 18, no. 4, pp. 184–203, 2015, [Online]. Available: https://sid.ir/paper/355918/en

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