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
Mansour Esmaeilzadeh; Amin Hoseinpoor; Mohammad Reza Namdar
Volume 11, Issue 30 , October 2014, Pages 23-50
Abstract
Inventory classification is one of important techniques in inventory controlcontext. Managers have to classify inventories because of their variety andhigh volume. So a stream of research has been to attempt to find methodsthat increase the management control by determining the number of inventoryclasses. ...
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Inventory classification is one of important techniques in inventory controlcontext. Managers have to classify inventories because of their variety andhigh volume. So a stream of research has been to attempt to find methodsthat increase the management control by determining the number of inventoryclasses. In this paper the multiple objective particle swarm optimizationalgorithm has been used. This algorithm has been presented by Chi-Yang Tsaiand Szu-Wei Yeh in 2008. Multiple objective particle swarm optimization algorithmis an evolutionary algorithm that enables the management to optimizemultiple objectives simultaneously. Minimizing costs of inventory holdingand ordering and maximizing inventory turnover ratios are this model’s objectives.We write the software program of this model and then test it on a sampleof 100 items. Results show that this algorithm can decrease costs of holding &ordering and also increase the inventory turnover ratios significantly.
Hani Ghasemi Sahebi; Mahmoud Zanjirchi
Volume 11, Issue 30 , October 2014, Pages 56-76
Abstract
To achieve a competitive edge in the rapidly changing business environment,companies must align with suppliers and customers to streamlineoperations, as well as working together to achieve a level of agility beyondindividual companies. Consequently, agile supply chains are the dominantcompetitive vehicles. ...
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To achieve a competitive edge in the rapidly changing business environment,companies must align with suppliers and customers to streamlineoperations, as well as working together to achieve a level of agility beyondindividual companies. Consequently, agile supply chains are the dominantcompetitive vehicles. Due to the ambiguity of agility assessment, mostmeasures are described subjectively using linguistic terms. In this research,it is identified different dimensions of the agility. It is studied howthe PISHRANEH Company accesses the agility in its supply chain as acase study. The innovation of this paper is the simultaneous use of Fuzzyrule-based and the Fuzzy agility index approaches which it is applied forthe first time in such articles. Finally, it is represented some suggestions forthe progress of agility level of the supply chain of the company and somefor the future.
Volume 11, Issue 30 , October 2014, Pages 77-97
Abstract
Due to the sharp rise of the information technology (IT), the amount of datastored in databases is dramatically on the rise. Analyzing the stored data andconverting it to information and knowledge which is applicable in organizationsrequires powerful instruments. As with other economic sectors, recognizing ...
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Due to the sharp rise of the information technology (IT), the amount of datastored in databases is dramatically on the rise. Analyzing the stored data andconverting it to information and knowledge which is applicable in organizationsrequires powerful instruments. As with other economic sectors, recognizing andattracting low-risk and profitable customers are of high significance for insuranceindustry. Car insurance is one of the most important insurance brancheswhich accounts for a great deal of portfolio of insurance industry. Risk segmentationof policyholders on the basis of observable features can help insurancecompanies to reduce loss, raise the rate of insurance coverage, and prevent themfrom making an inappropriate choice in the insurance market. In this study, thesegmentation of comprehensive car insurance customers on the basis of risk wasselected through self-organizing map and K-means. At first, the effective factorson the risk of policyholders are identified. Then, the insurance policyholders aresegmented using the proposed SOM and K-means. Customers’ characteristicsin every cluster are identified. Finally, the two methods compared with eachother. The advantages and disadvantages of them illustrated
Naghmeh alvandi; Rahmat Mirzaei; Mohammad jafar tarokh
Volume 11, Issue 30 , October 2014, Pages 98-128
Abstract
In this study, first by study different sources, effective factors of successfulimplementation of knowledge management systems have been identified.Then, by means of statistical analysis and SPSS software status ofeach factor in the Tamin Company was evaluated in order to determineis the company ready ...
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In this study, first by study different sources, effective factors of successfulimplementation of knowledge management systems have been identified.Then, by means of statistical analysis and SPSS software status ofeach factor in the Tamin Company was evaluated in order to determineis the company ready to implement this system, or not. The results showthat company is not ready to implement this system so it is necessary forthe company to improve its situation before implementing such system.Among those factors, culture, information and communication technology,have respectively the highest and lowest priorities to make correction.
Mohammad Reza Taghva
Volume 11, Issue 30 , October 2014, Pages 129-151
Abstract
the importance of having information system in any organization is obvious.It is not for sure having software & hardware that made a systemprofitable. It is when system achieves it predetermined goals and usersbenefit from it. The success implementation of master information systemhas been questioned ...
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the importance of having information system in any organization is obvious.It is not for sure having software & hardware that made a systemprofitable. It is when system achieves it predetermined goals and usersbenefit from it. The success implementation of master information systemhas been questioned through a questionnaire from all system users. Askthem to answer questions regard before system. Results show promotionin six questioned indicators. In this research, ISACO is a case.
Hossein Khanaki; Mahdi Azizmohammadi; Masoud Vakili; Saeed Khan Mohammadian
Volume 11, Issue 30 , October 2014, Pages 153-179
Abstract
AbstractIn this paper, the critical parameters of a method of welding with shieldinggas arc welding (GMAW) are discussed; this method is an important processin creating high quality metal permanent connections in various industries,including the automobile industry to improve the quality of stemdiameter ...
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AbstractIn this paper, the critical parameters of a method of welding with shieldinggas arc welding (GMAW) are discussed; this method is an important processin creating high quality metal permanent connections in various industries,including the automobile industry to improve the quality of stemdiameter welding parameters. One of the most useful techniques for modelingand solving the problems is Response Surface Method. In this paper,considering five most important factors such as speed welder, torch anglewith the work piece, electrode diameter, wire speed, gas consumption ,andCO2 levels as input variables, can be controlled independently from thelevel of response, the relationship between the input variables and the responsevariables were determined using linear regression. Then optimumvalue for each factor was calculated using non-linear programming model to evaluate the results obtained along with the comparison of output of theSimulation Annealing Algorithm.In this study, both qualitative and quantitative variables are considered toevaluate and optimize all response variables regarding that these variablesare not the same, and then fuzzy set theory and LP metric are used to findanswers for multi-objective optimization methods.
