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Paper Information

Journal:   JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)   FALL 2014 , Volume 8 , Number 3 (16); Page(s) 1 To 19.
 
Paper: 

ANT COLONY OPTIMIZATION FOR MULTI-OBJECTIVE DIGITAL CONVERGENT PRODUCT NETWORK

 
 
Author(s):  HASSANZADEH REZA*, MAHDAVI IRAJ, MAHDAVI AMIRI NEZAM
 
* DEPARTMENT OF INDUSTRIAL ENGINEERING, MAZANDARAN UNIVERSITY OF SCIENCE AND TECHNOLOGY, BABOL, IRAN
 
Abstract: 
Convergent product is an assembly shape concept integrating functions and sub-functions to form a final product. To conceptualize the convergent product problem, a web-based network is considered in which a collection of base functions and sub-functions configure the nodes 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 the network adding value to the product in the web environment. First, an algorithm is proposed to assign the links among bases and sub functions.
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-objective model 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.
 
Keyword(s): CONVERGENT PRODUCT, WEB-BASED (DIGITAL) NETWORK, MULTI-OBJECTIVE PROGRAMMING, STEINER TREE, ANT COLONY OPTIMIZATION
 
References: 
 
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