Shahid Beheshti UniversityJournal of Industrial Management Perspective2251-98744220140823Design and Explain a Model Based Diagnostic Multivariate Analysis in Order to Forecasting Corporate AgilityDesign and Explain a Model Based Diagnostic Multivariate Analysis in Order to Forecasting Corporate Agility92587283FAAli RezaPooyaAssociate professor, Ferdowsi University of Mashhad.MehdiKhoobiyanPh.D Student, Ferdowsi University of Mashhad.Journal Article20190926Agile manufacturing is a new productive model which is a result of changes in the environment of companies and it was shaped agility in two previous decades, it can also seek necessity of response to the increasingly intense competitive environment. Thus, in competitive era, our organization should implement this system quickly in order to succeed in production of high quality goods. This research, seeks suitable pattern in order to differentiate non-agile and agile companies by the most important factors of agility (speed, flexibility, competence and accountability) throughout multivariate discriminant function. Therefore, a questionnaire related to agility factors has been distributed among food companies of Toos Industries in Mashhad and then collected and analyzed by the software SPSS19. The results indicate that discriminant function obtained by the four variables have ability for differentiating of agility and non-agility companies. Moreover, it can be used in order to forecast agility, responsiveness, and flexibility that has had the most share of differentiation between two companies.Agile manufacturing is a new productive model which is a result of changes in the environment of companies and it was shaped agility in two previous decades, it can also seek necessity of response to the increasingly intense competitive environment. Thus, in competitive era, our organization should implement this system quickly in order to succeed in production of high quality goods. This research, seeks suitable pattern in order to differentiate non-agile and agile companies by the most important factors of agility (speed, flexibility, competence and accountability) throughout multivariate discriminant function. Therefore, a questionnaire related to agility factors has been distributed among food companies of Toos Industries in Mashhad and then collected and analyzed by the software SPSS19. The results indicate that discriminant function obtained by the four variables have ability for differentiating of agility and non-agility companies. Moreover, it can be used in order to forecast agility, responsiveness, and flexibility that has had the most share of differentiation between two companies.https://jimp.sbu.ac.ir/article_87283_8353b4032f061396042502b9979f2bdb.pdfShahid Beheshti UniversityJournal of Industrial Management Perspective2251-98744220140823An Investigation on the Systematic Role of Human Factors on Success of Project by Grey DEMATEL-Shapley ApproachAn Investigation on the Systematic Role of Human Factors on Success of Project by Grey DEMATEL-Shapley Approach274587284FAAliBonyadi-NaeiniAssistant Professor, University of Science and Technology.Mohammad HassanKamfirooziMSc, University of Science and Technology.Journal Article20190926This paper wants to have a survey on the human factors which are influencing on the project success. Observation of the factors affecting the success of the project as a single factor will show the analysis incomplete and non-true. Based on this, the current paper will work on this subject by it selves proposed method. So, the human resource factors affecting on project system will be extracted and then the importance of each factors will be recognized by Grey DEMATEL method. Because the coalition power between factors is neglected in DEMATEL method, this problem will be solved with use of Shapley value function as an evaluation for system’s factors and the effect of each factor will be standard. Staff factor (C6) is known as the factor that makes the biggest impact on the other factors; and communication between team members in project (C4) and coordination between members (C8) are known as the factors which are more impressible.This paper wants to have a survey on the human factors which are influencing on the project success. Observation of the factors affecting the success of the project as a single factor will show the analysis incomplete and non-true. Based on this, the current paper will work on this subject by it selves proposed method. So, the human resource factors affecting on project system will be extracted and then the importance of each factors will be recognized by Grey DEMATEL method. Because the coalition power between factors is neglected in DEMATEL method, this problem will be solved with use of Shapley value function as an evaluation for system’s factors and the effect of each factor will be standard. Staff factor (C6) is known as the factor that makes the biggest impact on the other factors; and communication between team members in project (C4) and coordination between members (C8) are known as the factors which are more impressible.https://jimp.sbu.ac.ir/article_87284_32f68bd083059715945f4c60c1a1241f.pdfShahid Beheshti UniversityJournal of Industrial Management Perspective2251-98744220140823Behavioral Perspective: A New Approach, to Modeling Organizational Decision Making (Case Study: Fars Province Industrial Manager)Behavioral Perspective: A New Approach, to Modeling Organizational Decision Making (Case Study: Fars Province Industrial Manager)476787285FAAlinaghiMosleh ShiraziAssociate Professor, Shiraz University, Shiraz.MohammadNamaziProfessor, Shiraz University.AliMohammadiAssociate Professor, Shiraz University.AhmadRajabiPh.D, Shiraz University.Journal Article20190926In this study, manager’s decision-making pattern and its internal parameter effects in industrial departments with respect to behavioral and rational perspective were investigated. For this purpose, a questionnaire was designed, and mention the 50 number of managers of manufacturing industries were interviewed and data were collected with respect to the inter organization factors affecting decision making process, including identifying behavioral errors and general information related to the managers. Then, based on the logistic regression, the pattern of the model decision-making the managers were designed. Results showed that more than 68 percent of the managers surveyed decided based on the behavioral patterns. Also, variables such as gender, education-level, experience and manager’s ownership affected the choice of their decisions making pattern. In addition, the behavioral errors lead them to behavioral decision making. Given than the behavioral errors in the organizations usually leads to a lack of optimal decision making by managers, the necessary strategies are provided to reduce errors and to obtain the optimal decision making pattern by the managers.In this study, manager’s decision-making pattern and its internal parameter effects in industrial departments with respect to behavioral and rational perspective were investigated. For this purpose, a questionnaire was designed, and mention the 50 number of managers of manufacturing industries were interviewed and data were collected with respect to the inter organization factors affecting decision making process, including identifying behavioral errors and general information related to the managers. Then, based on the logistic regression, the pattern of the model decision-making the managers were designed. Results showed that more than 68 percent of the managers surveyed decided based on the behavioral patterns. Also, variables such as gender, education-level, experience and manager’s ownership affected the choice of their decisions making pattern. In addition, the behavioral errors lead them to behavioral decision making. Given than the behavioral errors in the organizations usually leads to a lack of optimal decision making by managers, the necessary strategies are provided to reduce errors and to obtain the optimal decision making pattern by the managers.https://jimp.sbu.ac.ir/article_87285_7cbfb5918c60a61b60fb56b3f62f4fa7.pdfShahid Beheshti UniversityJournal of Industrial Management Perspective2251-98744220140823Proposing a Hybrid Fuzzy PROMETHEE - AHP Approach to Performance Evaluation of Service Supply Chain (Case Study: Hotel industry)Proposing a Hybrid Fuzzy PROMETHEE - AHP Approach to Performance Evaluation of Service Supply Chain (Case Study: Hotel industry)699287286FAAhmadJafarnejadProfessor, Tehran University.MaryamMohseniPh.D Student, Alborz Campous of Tehran University.AliAbdollahiAssistant Professor, Shahid Beheshti University.Journal Article20190926Performance evaluation is an essential management tool for performance improvement in pursuit of supply chain excellence. In spite of increasing attention to the service supply chain management, the performance assessment of service supply chains still remains unexplored. All service companies know that, in order to have an efficient and effective service supply chain, service supply chain management requires to be measured for its performance. A literature review was conducted on the concept of service supply chain and the importance of its performance evaluation. After that, criteria of performance evaluation determined and the weights of selected criteria computed by using AHP. Criteria with the highest weights considered as final criteria in this research. Since, one of the importance economic infrastructures is tourism industry and hotels have a crucial role in competitive environment of this industry, so the focus of this paper is on performance measurement and ranking of four hotels by using final criteria and a hybrid approach (Fuzzy PROMETHEE technique and Fuzzy AHP). Performance appraisal of hotels or ranking can help them improve and develop their situations. Using the results can help distinguish their problems and also, opportunities for subsequent improvements can be identified.Performance evaluation is an essential management tool for performance improvement in pursuit of supply chain excellence. In spite of increasing attention to the service supply chain management, the performance assessment of service supply chains still remains unexplored. All service companies know that, in order to have an efficient and effective service supply chain, service supply chain management requires to be measured for its performance. A literature review was conducted on the concept of service supply chain and the importance of its performance evaluation. After that, criteria of performance evaluation determined and the weights of selected criteria computed by using AHP. Criteria with the highest weights considered as final criteria in this research. Since, one of the importance economic infrastructures is tourism industry and hotels have a crucial role in competitive environment of this industry, so the focus of this paper is on performance measurement and ranking of four hotels by using final criteria and a hybrid approach (Fuzzy PROMETHEE technique and Fuzzy AHP). Performance appraisal of hotels or ranking can help them improve and develop their situations. Using the results can help distinguish their problems and also, opportunities for subsequent improvements can be identified.https://jimp.sbu.ac.ir/article_87286_73e14f88213d4d0d482863746e052e82.pdfShahid Beheshti UniversityJournal of Industrial Management Perspective2251-98744220140823Representing a Step-by-Step Approach for Simulating Strategy Map using Fuzzy Cognitive MapsRepresenting a Step-by-Step Approach for Simulating Strategy Map using Fuzzy Cognitive Maps9311587287FABijanNahavandiAssistant Professor, Science and Research Branch, Islamic Azad University, Tehran.AbbasMoghbel BaarzAssociate Professor, Tarbiat Modares University.AdelAzarProfessor, Tarbiat Modares University.Journal Article20190926Nowadays, strategy maps are dominated tools that linking strategy formulation into implementation. Many organizations using this tool and utilizing its benefits. Of course some of its specifications have been neglected and also could be improved. This study used fuzzy cognitive maps (FCM) and presents a step-by-step approach. Therefore, at the first step causal relations will model and then effect paths extracts refers to experts opinions. At the next step FCM will simulate considered scenario. Generally final aim of this study is turning strategy map from a static image to a dynamic tool. Ultimately, represented approach applied in a practical case.Nowadays, strategy maps are dominated tools that linking strategy formulation into implementation. Many organizations using this tool and utilizing its benefits. Of course some of its specifications have been neglected and also could be improved. This study used fuzzy cognitive maps (FCM) and presents a step-by-step approach. Therefore, at the first step causal relations will model and then effect paths extracts refers to experts opinions. At the next step FCM will simulate considered scenario. Generally final aim of this study is turning strategy map from a static image to a dynamic tool. Ultimately, represented approach applied in a practical case.https://jimp.sbu.ac.ir/article_87287_a819f0ccc74bd22d73ad08b41af45f78.pdfShahid Beheshti UniversityJournal of Industrial Management Perspective2251-98744220140823Multi-Period, Multi-Product Supply Chain Network Design Using an Approach Combining Multi-objective Mathematical Programming and Data Envelopment AnalysisMulti-Period, Multi-Product Supply Chain Network Design Using an Approach Combining Multi-objective Mathematical Programming and Data Envelopment Analysis11713787288FAعباسشولاستادیار گروه مدیریت صنعتی، دانشکده علوم اداری و اقتصاد، دانشگاه ولیعصر (عج)، رفسنجان، ایرانMaghsoudAmiriProfessor, Allameh Tabatabaei University.LayaOlfatAssociate Professor, University of Allameh Tabataba'i.KavehKhalili DamghaniAssistant Professor, Islamic Azad University, South Tehran Branch.Journal Article20190926In this paper, in order to increase the performance of the proposed supply chain network, the multi-period, multi-product model with multiple simultaneous objectives has been considered. To design the network, use has been made of the multi-objective mixed integer mathematical programming model, where the objectives of the problem include minimization of production costs, reduction of products delivery time, and increase in the reliability of the supply chain. To solve the model and present non-dominated solutions, the Epsilon Constraint Method has been used; to this end, the model’s code has been written in the LINGO software. Considering the multiplicity of Pareto solutions, to prevent the decision maker from confusion, use has been made of Data Envelopment Analysis for evaluation of non-dominated solutions. To solve the Data Envelopment Analysis model, GAMS software has been used. The outputs of this problem include the optimal number of facilities at each level of the supply chain and the optimal amount of goods delivery from each level to another.In this paper, in order to increase the performance of the proposed supply chain network, the multi-period, multi-product model with multiple simultaneous objectives has been considered. To design the network, use has been made of the multi-objective mixed integer mathematical programming model, where the objectives of the problem include minimization of production costs, reduction of products delivery time, and increase in the reliability of the supply chain. To solve the model and present non-dominated solutions, the Epsilon Constraint Method has been used; to this end, the model’s code has been written in the LINGO software. Considering the multiplicity of Pareto solutions, to prevent the decision maker from confusion, use has been made of Data Envelopment Analysis for evaluation of non-dominated solutions. To solve the Data Envelopment Analysis model, GAMS software has been used. The outputs of this problem include the optimal number of facilities at each level of the supply chain and the optimal amount of goods delivery from each level to another.https://jimp.sbu.ac.ir/article_87288_e093511e8a3c49cee21162c54ff509ef.pdfShahid Beheshti UniversityJournal of Industrial Management Perspective2251-98744220140823A Binary Programming Model for Parallel Machines Scheduling in a Multi-Product SystemA Binary Programming Model for Parallel Machines Scheduling in a Multi-Product System13915687289FAAlirezaNaser SadrabadiAssistant professor, Yazd University.Mohammad HosseinSattarkhanM.A., Islamic Azad University, Science and Research Branch.Journal Article20190926In the industrial firms, setting an appropriate scheduling of production is one of the most important tasks of the management, so that a producer can make the most of possible utility. In recent years a new kind of problems has been detected that the main goal of its production planning, further than reducing the completion time of products, is to make different components of a producing package to be ready with a small time space. This paper presents an integer linear programming model to optimize the production planning for a multi-product system with identical parallel production lines that minimizes the summation of the time spaces between the completion times of various items of producing packages. A numerical example is given and solved and by comparing the results obtained from the model with results from two other objective functions, the efficiency of the proposed model investigated in the real world.In the industrial firms, setting an appropriate scheduling of production is one of the most important tasks of the management, so that a producer can make the most of possible utility. In recent years a new kind of problems has been detected that the main goal of its production planning, further than reducing the completion time of products, is to make different components of a producing package to be ready with a small time space. This paper presents an integer linear programming model to optimize the production planning for a multi-product system with identical parallel production lines that minimizes the summation of the time spaces between the completion times of various items of producing packages. A numerical example is given and solved and by comparing the results obtained from the model with results from two other objective functions, the efficiency of the proposed model investigated in the real world.https://jimp.sbu.ac.ir/article_87289_c78487ae722d8e1f2cc6b6b2145ae2cb.pdf