Seyed Habib Allah Mirghafoori; Ali Morovati Sharifabadi; Faezeh Asadian Ardakani
Volume 11, Issue 30 , October 2014, , Pages 1-21
Abstract
In the last few years, supply chain management becomes more important,because of the globalization of business. By increasing complexity, levelof uncertainty and risk in the chain goes up. Hence supply chain risk managementhas become a major issue in the organization. One of the risksexisting in the ...
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In the last few years, supply chain management becomes more important,because of the globalization of business. By increasing complexity, levelof uncertainty and risk in the chain goes up. Hence supply chain risk managementhas become a major issue in the organization. One of the risksexisting in the supply chain is risk of suppliers. This research providesmodel for predicting supplier risk in Iran Alloy Steel Company that is thenanalyzed using Artificial Neural Networks which are capable to considernon-liner interrelations among criteria. In the model using fuzzy Delphi,seven criteria have been identified. Then by using AHP-VIKOR the risk ofsupplier calculated and the risk of suppliers were predicted. Finally, we usesensitive analysis for identification effect of every input on output
Faezeh Asadian Ardakani; Ali Morovati Sharifabadi
Volume 10, Issue 26 , January 2012, , Pages 75-94
Abstract
One of the solutions for solving cutting stock problem in differentindustries, such as sheet metal, lumber, glass, paper and textile, isapplying ,Particle Swarm Optimization to minimize the waste ofrawmaterials. This article is intended to solve two-dimensional cuttingproblem. In these problems, larger ...
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One of the solutions for solving cutting stock problem in differentindustries, such as sheet metal, lumber, glass, paper and textile, isapplying ,Particle Swarm Optimization to minimize the waste ofrawmaterials. This article is intended to solve two-dimensional cuttingproblem. In these problems, larger rectangular plates, divided intosmaller rectangularsegments, aim to minimizing the number of usedplates or the waste of plates by considering demand. In this articlePSO is used. To enhance the efficiency of algorithm, and preventingoverlap in cutting problem, the CUL algorithm is used. In order toinvestigate the results of algorithm, new software has been designed.This software has two ways for solving the problem. First, it ends upwith optimized cutting pattern considering the number and dimensionof segments and, length and width of main plate. Also, there is apossibility to give different width to software, in this case, thesoftware gives the user the optimum cutting pattern and optimumlength of main plate in addition to optimum width
