Shahid Beheshti University Journal of Industrial Management Perspective 2251-9874 5 2 2015 08 23 Analysis Relationships among Practices of Supply Chain Management Paradigms and Performance Measures by Interpretive Structural Modeling Approach (ISM) Analysis Relationships among Practices of Supply Chain Management Paradigms and Performance Measures by Interpretive Structural Modeling Approach (ISM) 9 31 87255 FA Ahmad Jafarnejad Professor, Tehran University. Hossein Safari Associate Professor, Tehran University. Maryam Mohseni Ph.D Student, Alborz Campous of Tehran University. Journal Article 2019 09 24 Nowadays, companies are seeking to find suitable supply chain paradigms to gain better performance and improve their competitiveness. Because competition between supply chains has been replaced by competition between companies. Among different paradigms in supply chain management, integrating lean, agile and resilient paradigms are considered as a new idea to gain better performance and competitiveness. The main purpose of this paper is to determine the importance practices of lean, agile and resilient that top managers should focus on them to improve their supply chain's performance. To this end, interpretive structural modeling (ISM) approach is used to analyze relationships among lean, agile and resilient practices and supply chain performance measures. This approach classifies variables according to their driving or dependence power. As the results shows, the practice "supplier relationship" is with strong driving power and also, performance measure "cash-to-cash cycle" is with weak driving power and strong dependence power. It means that, this measure is strongly influenced by the other variables but does not affect them. Nowadays, companies are seeking to find suitable supply chain paradigms to gain better performance and improve their competitiveness. Because competition between supply chains has been replaced by competition between companies. Among different paradigms in supply chain management, integrating lean, agile and resilient paradigms are considered as a new idea to gain better performance and competitiveness. The main purpose of this paper is to determine the importance practices of lean, agile and resilient that top managers should focus on them to improve their supply chain's performance. To this end, interpretive structural modeling (ISM) approach is used to analyze relationships among lean, agile and resilient practices and supply chain performance measures. This approach classifies variables according to their driving or dependence power. As the results shows, the practice "supplier relationship" is with strong driving power and also, performance measure "cash-to-cash cycle" is with weak driving power and strong dependence power. It means that, this measure is strongly influenced by the other variables but does not affect them. https://jimp.sbu.ac.ir/article_87255_9d23eafa8d93c081342c4aabb8240c5a.pdf

Shahid Beheshti University Journal of Industrial Management Perspective 2251-9874 5 2 2015 08 23 Marketing Strategies Selection for Supply Chain Management under Uncertainty Propagation Marketing Strategies Selection for Supply Chain Management under Uncertainty Propagation 33 62 87256 FA Aliakbar Hasani Faculty member, Shahrood University of technology. Journal Article 2019 09 24 In this paper, we consider a closed-loop supply chain supplying products to markets and an after-sales supply chain providing spare parts to fulfill after-sales commitments. Uncertainties of product demand and facility capacity are considered via using continuous probability distribution function and are formulated in the form of a nonlinear mixed integer programming model. In addition, marketing strategies selection for supply chain management and reliable flow creation during the planning periods are considered. Here, we propose a comprehensive mathematical model for determining the best marketing strategies and preserving reliable flow dynamics throughout the chains’ networks. A new memetic algorithm is developed that incorporates genetic algorithm and adaptive variable neighborhood search to find the best solutions. Efficiency of the proposed memetic algorithm is evaluated by comparing its performance with two other solution algorithms. The proposed model and its solution approach are tested using data from an engine production company. We derive some managerial insight by analyzing the correlations among the marketing strategies and how they affect each other. In this paper, we consider a closed-loop supply chain supplying products to markets and an after-sales supply chain providing spare parts to fulfill after-sales commitments. Uncertainties of product demand and facility capacity are considered via using continuous probability distribution function and are formulated in the form of a nonlinear mixed integer programming model. In addition, marketing strategies selection for supply chain management and reliable flow creation during the planning periods are considered. Here, we propose a comprehensive mathematical model for determining the best marketing strategies and preserving reliable flow dynamics throughout the chains’ networks. A new memetic algorithm is developed that incorporates genetic algorithm and adaptive variable neighborhood search to find the best solutions. Efficiency of the proposed memetic algorithm is evaluated by comparing its performance with two other solution algorithms. The proposed model and its solution approach are tested using data from an engine production company. We derive some managerial insight by analyzing the correlations among the marketing strategies and how they affect each other. https://jimp.sbu.ac.ir/article_87256_9fb21b1eba2d011fd0f7af5bab34765b.pdf

Shahid Beheshti University Journal of Industrial Management Perspective 2251-9874 5 2 2015 08 23 Specifying the Role of Theory of Constraints in order to Achieve World-Class Business Specifying the Role of Theory of Constraints in order to Achieve World-Class Business 63 81 87257 FA Hassan Farsijani Associate Professor, Shahid Beheshti University. Journal Article 2019 09 24 The purpose of the current research was presentation of service system as an integrated system utilizing continuous improvement of theory of constraints as well as exploratory and innovative pattern methods for its implementation in Hamkaran System Company for increasing its competitiveness. This was done utilizing 5-step concentration process which is considered a system-based process, applied for structuring management decision in the context of continuous improvement and recognition of vital parts of the processes. Hamkaran System Company was utilized for theory of constraints, followed by simulation using Arena Software in order to generalize and bringing facts and results closer to the reality. The results of the present research demonstrates the potentials of the service industries managers in the recognition of vital factors influencing company competitivability using repeated cycles of the theory of constraints for increasing breakdown and finding new constraints and establishing equilibrium in the whole system. The present research can be considered as a key for future researches in order to achieve new applied solutions for the problem. The results can be applied for all similar service and productive companies.  The purpose of the current research was presentation of service system as an integrated system utilizing continuous improvement of theory of constraints as well as exploratory and innovative pattern methods for its implementation in Hamkaran System Company for increasing its competitiveness. This was done utilizing 5-step concentration process which is considered a system-based process, applied for structuring management decision in the context of continuous improvement and recognition of vital parts of the processes. Hamkaran System Company was utilized for theory of constraints, followed by simulation using Arena Software in order to generalize and bringing facts and results closer to the reality. The results of the present research demonstrates the potentials of the service industries managers in the recognition of vital factors influencing company competitivability using repeated cycles of the theory of constraints for increasing breakdown and finding new constraints and establishing equilibrium in the whole system. The present research can be considered as a key for future researches in order to achieve new applied solutions for the problem. The results can be applied for all similar service and productive companies.  https://jimp.sbu.ac.ir/article_87257_be198dd4daf45fc6b035a1d6167dc72e.pdf

Shahid Beheshti University Journal of Industrial Management Perspective 2251-9874 5 2 2015 08 23 Modeling Performance of Data center Networks using System Dynamics Approach Modeling Performance of Data center Networks using System Dynamics Approach 83 106 87258 FA Mohammad Reza Bahrami Master Student, Azad University. Gholamreza Hashemzade Associate Professor Islamic Azad University, South Tehran Branch. Abootorab Alirezaei Assistant Professor, Azad University. Journal Article 2019 09 25 In today’s world, enterprises are in dire need of using information technology systems to do their missions. This requires development of data centers using which, they can present existing rules, strategies, and structures in the technology context. Since then, it became clear that the accurate performance of the data centers leads to consistence, acceleration of access, and continuation of the business of enterprises, but despite of presenting relevant models, there are still obscurities in the identification of key influential variables. The purpose of this study is to present a dynamic model of data center networks using Venism software, in which 125 influential variables, relevant to 15 stock variables, are derived by reviewing the literature and 12 causal loops were identified. Then, the model is presented, as causal-loop diagrams and the stock-flow model and various scenarios such as enhancing training capacity and appeal, imposing overload on the network and switch failure are examined. Considering the results and the sensitivity analysis performed, it became clear that the appeal of the services, the skills attained, and the quality, as well as the bandwidth tolerance capacity, storing, and processing power of the data center has significant importance in identifying the level of performance of the data center.  In today’s world, enterprises are in dire need of using information technology systems to do their missions. This requires development of data centers using which, they can present existing rules, strategies, and structures in the technology context. Since then, it became clear that the accurate performance of the data centers leads to consistence, acceleration of access, and continuation of the business of enterprises, but despite of presenting relevant models, there are still obscurities in the identification of key influential variables. The purpose of this study is to present a dynamic model of data center networks using Venism software, in which 125 influential variables, relevant to 15 stock variables, are derived by reviewing the literature and 12 causal loops were identified. Then, the model is presented, as causal-loop diagrams and the stock-flow model and various scenarios such as enhancing training capacity and appeal, imposing overload on the network and switch failure are examined. Considering the results and the sensitivity analysis performed, it became clear that the appeal of the services, the skills attained, and the quality, as well as the bandwidth tolerance capacity, storing, and processing power of the data center has significant importance in identifying the level of performance of the data center.  https://jimp.sbu.ac.ir/article_87258_88ed000caf306b92ce6573aaa9849bea.pdf

Shahid Beheshti University Journal of Industrial Management Perspective 2251-9874 5 2 2015 08 23 Optimizing the Selling Price and Advertising Cost in a Two Layers Supply ChainIncluding a Manufacturer and Two Retailers Optimizing the Selling Price and Advertising Cost in a Two Layers Supply ChainIncluding a Manufacturer and Two Retailers 107 127 87259 FA Ata Allah Taleizadeh Master Student, South Tehran Azad University. Reyhaneh Mohammadi Master Student, South Tehran Azad University. Journal Article 2019 09 25 In this research, marketing and pricing decisions of a two-level supply chain consisting of one manufacturer and two competing retailers have been considered<span lang="EN-CA">.</span>Theinfluences of manufacturer participation in local advertising costs<span lang="EN-CA"> of </span>retailers have beenstudied. Since competition in the supply chain exists, the game theories are used to solve the model. For this purpose, <span lang="EN-CA">manufacturer acts as Stackelberg leader who specifies wholesale prices for each retailer. Demand is dependent on the price and advertising. </span>In this study, optimal pricing and advertising costs are determined such that maximizes the total profits. Finally, numerical examples are provided.By using the results of numerical example we can conclud that the manufacturerparticipationinlocaladvertising costs<span lang="EN-CA"> of </span>retailers is effective and increases total profits of chain. In this research, marketing and pricing decisions of a two-level supply chain consisting of one manufacturer and two competing retailers have been considered<span lang="EN-CA">.</span>Theinfluences of manufacturer participation in local advertising costs<span lang="EN-CA"> of </span>retailers have beenstudied. Since competition in the supply chain exists, the game theories are used to solve the model. For this purpose, <span lang="EN-CA">manufacturer acts as Stackelberg leader who specifies wholesale prices for each retailer. Demand is dependent on the price and advertising. </span>In this study, optimal pricing and advertising costs are determined such that maximizes the total profits. Finally, numerical examples are provided.By using the results of numerical example we can conclud that the manufacturerparticipationinlocaladvertising costs<span lang="EN-CA"> of </span>retailers is effective and increases total profits of chain. https://jimp.sbu.ac.ir/article_87259_3b74d476584dbfd40c2b6c99fa7eb675.pdf

Shahid Beheshti University Journal of Industrial Management Perspective 2251-9874 5 2 2015 08 23 Employment of a Weighted Fuzzy Multi-Objective Programming Model to Determine the Amount of Optimum Purchasing from Suppliers Employment of a Weighted Fuzzy Multi-Objective Programming Model to Determine the Amount of Optimum Purchasing from Suppliers 129 152 87260 FA Hamid Shahbandarzadeh Assistant Professor, Khalig -e- Fars University. Alireza Paykam Master, Khalige Fars University. Journal Article 2019 10 07 In the last decade, purchasing management in supply chain and correctly selection of supplier have been of challenges for the relevant companies. Hence a supplier selection problem, which is generally a Multi-Criteria Decision Making (MADM) problem, was considered as a Multi-Objective Linear Programming (MOLP) problem in the present research. Afterwards, the multi-objective programming model was designed to determine the optimum order values according to the limitations and research objectives and the weighted fuzzy multi-objective programming model and maximum-minimum method were employed in order to solve it. Moreover, fuzzy constraints and the weights of objectives, which are obtained from Fuzzy Analytical Hierarchy Process (FAHP), were put in the objective function related to the max-min model and the model was implemented afterward. Assuming that the decision maker is not satisfied with the obtained response, Arikan model can be used in which the weight of objectives and fuzzy constraints are considered in the model in order to reach to the desired level in the objectives and fuzzy constraints and to specify the amount of optimum purchasing from suppliers. In the last decade, purchasing management in supply chain and correctly selection of supplier have been of challenges for the relevant companies. Hence a supplier selection problem, which is generally a Multi-Criteria Decision Making (MADM) problem, was considered as a Multi-Objective Linear Programming (MOLP) problem in the present research. Afterwards, the multi-objective programming model was designed to determine the optimum order values according to the limitations and research objectives and the weighted fuzzy multi-objective programming model and maximum-minimum method were employed in order to solve it. Moreover, fuzzy constraints and the weights of objectives, which are obtained from Fuzzy Analytical Hierarchy Process (FAHP), were put in the objective function related to the max-min model and the model was implemented afterward. Assuming that the decision maker is not satisfied with the obtained response, Arikan model can be used in which the weight of objectives and fuzzy constraints are considered in the model in order to reach to the desired level in the objectives and fuzzy constraints and to specify the amount of optimum purchasing from suppliers. https://jimp.sbu.ac.ir/article_87260_4b1354f8e69cd5f594a5dd9877df31cf.pdf

Shahid Beheshti University Journal of Industrial Management Perspective 2251-9874 5 2 2015 08 23 An Intelligent Fuzzy Model to Evaluate Knowledge Management Processes in Supply Chain (Case: Iran- Khodro Company) An Intelligent Fuzzy Model to Evaluate Knowledge Management Processes in Supply Chain (Case: Iran- Khodro Company) 153 175 87261 FA Nahid Dorosrkar Ahmadi Ph.D Student, Semnan University. Mohesen Shafie Nikabadi Assistant Professor Semnan University. Journal Article 2019 09 25 The basic purpose of this study is presenting an intelligent fuzzy model to evaluate knowledge management processes in supply chain of Iran Khodro. In this paper, at the first, knowledge management processes and their indicators were detected by literature review and then by factor analysis. After that a fuzzy expert system were presented in order to evaluate knowledge management processes. DEMATEL technique was used to determine the importance of dimensions and their indicators. The results showed that acquisition creation and generate knowledge and use application and exploiting have been more important that the other dimensions and these two dimensions have maximum effect on knowledge management processes performance. The basic purpose of this study is presenting an intelligent fuzzy model to evaluate knowledge management processes in supply chain of Iran Khodro. In this paper, at the first, knowledge management processes and their indicators were detected by literature review and then by factor analysis. After that a fuzzy expert system were presented in order to evaluate knowledge management processes. DEMATEL technique was used to determine the importance of dimensions and their indicators. The results showed that acquisition creation and generate knowledge and use application and exploiting have been more important that the other dimensions and these two dimensions have maximum effect on knowledge management processes performance. https://jimp.sbu.ac.ir/article_87261_9b87fac3fbbeee2920a372beeaaab74f.pdf