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Ant Colony Optimization for Multi-objective Digital Convergent Product Network

عنوان مقاله: Ant Colony Optimization for Multi-objective Digital Convergent Product Network
شناسه ملی مقاله: JR_JOIE-7-16_001
منتشر شده در شماره 16 دوره 7 فصل Summer and Autumn در سال 1393
مشخصات نویسندگان مقاله:

Reza Hassanzadeh - PhD Candidate, Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran
Iraj Mahdavi - Professor, Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran
Nezam Mahdavi-Amiri - Professor, Faculty of Mathematical Sciences, Sharif University of Technology, Tehran, Iran

خلاصه مقاله:
Convergent product is an assembly shape concept integrating functions and sub-functions to form a final product. To conceptualize theconvergent product problem, a web-based network is considered in which a collection of base functions and sub-functions configure thenodes and each arc in the network is considered to be a link between two nodes. The aim is to find an optimal tree of functionalities in thenetwork adding value to the product in the web environment. First, an algorithm is proposed to assign the links among bases and subfunctions.Then, numerical values as benefits and costs are determined for arcs and nodes, respectively, using a mathematical approach.Also, customer’s value corresponding to the benefits is considered. Finally, the Steiner tree methodology is adapted to a multi-objectivemodel optimized by an ant colony optimization method. The approach is applicable for all digital products, such as mobile, tablet, laptop,etc. An example is worked out to illustrate the proposed approach

کلمات کلیدی:
Convergent product, Web-based (digital) network, Multi-objective programming, Steiner tree, Ant colony optimization

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/790983/