Behrooz Dorri Nokorani; Mostafa Zandieh; Mohsen Notash
Volume 18, Issue 4 , January 2015, , Pages 183-203
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 ...
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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.
mohammad reza hamidizadeh; hasan farsijani; anahita salari; behroz dori nokorani
Volume 18, Issue 2 , July 2014, , Pages 127-148
Abstract
In today’s dynamic and competitive markets, industries and services require the methods, which can overcome the environmental challenges, and provide non-wasting production and services to the customers. Such tools can be achieved through pure production method. Therefore, by studying the literature ...
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In today’s dynamic and competitive markets, industries and services require the methods, which can overcome the environmental challenges, and provide non-wasting production and services to the customers. Such tools can be achieved through pure production method. Therefore, by studying the literature review of pure production models in the supply chain, 14 major identification factors were identified in the form of a questionnaire presented to the experts and managers of automobile industry supply chain in order to specify the relationship and sequence of these factors through ISM method, and then confirm using path analysis technique. In this regard, these factors were located at five levels. The first level includes wasting and contentment of client; the second level is related to source control and continuous improvement; the third one involves the structure of material flow, supplying development and selection; the fourth level consists of educating and empowering, contacting with client and supplier and information flow structure; and the fifth level includes management behavior, methods and staffskills. The order of factors has helped the managers that if they implement these factors for the improvement of production methods and approaching to a pure production, from which factor they would initiate.
