Univrsity of Tehran PressIndustrial Management Journal3115-738610320180923Providing Sustainable Supply Chain Agility Model in the Brick Industry of Isfahan provinceارائه مدل چابکی زنجیره تأمین پایدار در صنعت آجر استان اصفهان3353526890010.22059/imj.2018.261444.1007459ENFarhadFarhadiPh.D. Candidate, Department of Industrial Management, Alborz Campus, University of Tehran, Tehran, IranMohammad RezaTaghizadeh YazdiAssociate Prof., Department of Industrial Management, Faculty of Management, University of Tehran, Tehran, IranMansourMomeniProf., Department of Industrial Management, Faculty of Management, University of Tehran, Tehran, IranSeyed MojtabaSajadiAssistant Prof., Department of New Business Group, Faculty of Entrepreneurship, Tehran University, Tehran, IranJournal Article20180704<strong>Objective: </strong>Today, manufacturing companies must pay attention to environmental and social issues throughout the supply chain in order to survive. Many efforts have been made to examine the sustainable supply chain, but the agility of sustainable supply chain has been only observed in very few studies. Therefore, the aim of this study is to present an agility model of sustainable supply chain in the brick industry of Isfahan Province. <br /><strong>Methods:</strong> This study was a developmental applied research and was done in a qualitative way. A sample of 10 experts was determined by snowball sampling who were familiar with the research. Then, thematic analysis was used to help the semi-structured interview to extract concepts, categories and elements and the interpretive-structural modeling was used to establish the relationship between elements and formation of the model. <br /><strong>Results:</strong> Based on the obtained resulted of thematic analysis, 11 factors were determined (namely sociability, responsiveness, compliance with laws, speed, information technology, environmental protection, competence, flexibility, executive management commitment, quality management and economics. And with the help of descriptive-structural modeling method, executive management commitment was identified as the infrastructure of the model and two factors of socialization and environmental protection were as the head of the model. <br /><strong>Conclusion:</strong> To achieve sustainable supply chain agility in the bricks industry, Brick Industry executives should have the required commitment and readiness for the sustainable supply chain agility.https://imj.ut.ac.ir/article_68900_663f4177bc433b6777d958e46cb50c27.pdfUnivrsity of Tehran PressIndustrial Management Journal3115-738610320180923Providing a New Model to Improving DEA-based Models in Multi-criteria Inventory Classification (Case Study: Pars Khazar)ارائه مدلی جدید در راستای بهبود مدلهای مبتنی بر DEA در طبقهبندی چندمعیاره اقلام موجودی (مطالعه موردی: پارس خزر)3533666890110.22059/imj.2018.259236.1007438ENMohamadrahimRamazaniyanAssociate Prof., Department of Management, Faculty of Literature and Humanities, University of Guilan, Rasht, IranKeikhosroYakidehAssistant Prof., Department of Management, Faculty of Literature and Humanities, University of Guilan, Rasht, Iran0000-0002-8993-4576AtefehAlidous SaravaniMA., Department of Industrial Management, Faculty of Literature and Humanities, University of Guilan, Rasht, IranJournal Article20180531Abstract
<strong>Objective:</strong> Many organizations use the ABC classification method to control their large amount of inventories. The most common way to classify inventories is the ABC method. In traditional ABC classification, items are only classified according to one criteria. But there are other criteria that need to be considered in the inventory classification. The purpose of this study is to present a new model for multi-criteria inventory classification.
<strong>Methods:</strong> Among the multi-criteria inventory classification methods, DEA-based methods do not require decision makers to determine the weight of the criteria; however, in the literature, only the radial methods of data envelopment analysis are used to classify inventory items. In this paper, the cross-efficiency of a non-radial model is proposed in order to improve the average cross-efficiency of the R model, which is a radial model.
<strong>Results:</strong> Therefore, the proposed method does not have the weakness of R model due to the use of a non-radial model and also it has benefits the cross-efficiency method.
<strong>Conclusion:</strong> The models were executed on 47 items of inventory related to a common numerical example in the research literature as well as on 80 items of inventory of the Pars Khazar Industrial Company and the results of the implementation of the models have been analyzed. The results of comparing the proposed model with some of the existing models in the literature indicate the superiority of the proposed model.https://imj.ut.ac.ir/article_68901_c15be117f66cf136b6ff16efdba7d11a.pdfUnivrsity of Tehran PressIndustrial Management Journal3115-738610320180923Proposing a Human Resource Balanced Scorecard based on Dynamic Systems Simulation s-basedارائه کارت امتیازی متوازن منابع انسانی مبتنی برشبیهسازی سیستمهای پویا (مطالعه موردی: صنایع غذایی)3673866890610.22059/imj.2018.264205.1007478ENHosseinSafariProf., Department of Industrial Management, Faculty of Management, University of Tehran, Tehran, IranMostafaZandiehAssociate Prof., Department of Industrial Management, Management and Accounting Faculty, Shahid Beheshti University, G.C., Tehran, IraEhsanKhanmohammadiPh.D., Department of Operation Research, Faculty of Management, University of Tehran, Tehran, IranJournal Article20180821<strong>Objective</strong>: The purpose of this study is to provide a dynamic system model for modeling the growth and learning perspective of a manufacturing company. The main focus of the model is on the company's human resources management process. <br /> <br /><strong>Methods</strong>: In this study, an approach based on dynamic simulation has been proposed to evaluate the human resource condition. In order to do that, the researchers aimed to identify the most important variables in the learning and growth perspective of the balanced scorecard. Besides, two qualitative and quantitative models were designed and implemented. The qualitative model is describing causal relationships and the presence of system feedbacks between the variables and the quantitative model is based on the mathematical relations between them. <br /> <br /><strong>Results</strong>: The proposed model was implemented in an Iranian production company working in the food and beverage industry. Different scenarios were defined based on the human resource strategic objectives in that company. The future status of human resource indicators of the company was predicted and analyzed through running scenarios in the dynamics model. <br /><strong>Conclusion</strong>: The company managers will be able to evaluate the effective factors and their impact on the most important human resource indicators using the proposed model and to make the necessary decisions to achieve success in the future.https://imj.ut.ac.ir/article_68906_be88c2a3adbc8097592e08d2be6edf79.pdfUnivrsity of Tehran PressIndustrial Management Journal3115-738610320180923The Architecture of Talent Identifying Process at National Elite Foundation: CM and SSM Hybrid Algorithmمعماری الگوی شناسایی استعدادهای برتر در بنیاد ملی نخبگان: روششناسی الگوریتم ترکیبی SSM و CM3874066890710.22059/imj.2018.262586.1007469ENBehnamGolshahiPh.D. Candidate, Department of Human Resources Management, Faculty of Economic, Management and Political Sciences, Semnan University, Semnan, IranAbbas AliRastegarAssociate Prof., Department of Management, Faculty of Economic, Management and Political Sciences, Semnan University, Semnan, IranDavoodFeizAssociate Prof., Department of Management, Faculty of Economic, Management and Political Sciences, Semnan University, Semnan, IranAzimZareiAssociate Prof., Department of Management, Faculty of Economic, Management and Political Sciences, Semnan University, Semnan, IranJournal Article20180722<strong>Objective:</strong> Within the knowledge based economy, talents are known as a strategic talent in order to achieve sustainable competitive advantage as well as a criterion for growth in different organizational and social level. Thus, in recent studies, talent management architecture has emphasized on exploring and identifying talents in different fields. Accordingly, the present study aimed to provide a model of talent identifying process at the Iran National Elite Foundation (INEF).
<strong>Methods:</strong> This study is conducted based on a descriptive-exploratory study with a developmental-applied approach. The statistical population of the research includes the scientific lasting faces of the country as well as top managers of the INEF. The statistical sample was selected through a purposeful judgment of 25 people. Data collection tools were library studies and semi-structured interviews with experts. Data were analyzed based on qualitative approach and based on a hybrid algorithm of the soft system methodology and cognitive mapping.
<strong>Results:</strong> The findings proposed a model to identify talents in INEF including two methods of elite selection as active and passive manner.
<strong>Conclusion:</strong> The results showed that the active process of elite selection includes two nominating and searchable methods and the passive process of elite selection includrs two selective and self- assertive methods.
https://imj.ut.ac.ir/article_68907_d9b2004444347bb2433548967ac2a0ce.pdfUnivrsity of Tehran PressIndustrial Management Journal3115-738610320180923Developing an Integrated Simulation Model of Bayesian-networks to Estimate the Completion Cost of a Project under Risk: Case Study on Phase 13 of South Pars Gas Field Development Projectsارائه یک مدل ترکیبی شبیهسازی ـ شبکههای بیز برای ارزیابی هزینه تکمیل پروژه در شرایط ریسک (مورد مطالعه: پروژه ساخت پالایشگاه فاز 13 میدان گازی پارس جنوبی)4074286890810.22059/imj.2018.228669.1007202ENAliNamazianPhD. Candidate, Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, IranSiamakHaji YakhchaliAssistant Prof., Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, IranJournal Article20170227<strong>Objective:</strong> The aim of this paper is to propose a new approach to assess the aggregated impact of risks on the completion cost of a construction project. Such an aggregated impact includes the main impacts of risks as well as the impacts of interactions caused by dependencies among them.
<strong>Methods:</strong> In this study, Monte Carlo simulation and Bayesian Networks methods are combined to present a framework to assess the aggregated impact of risks on a construction project’s completion cost.
<strong>Results: </strong>Project risk assessment, regardless of the interactions between them, leads to prioritization of risks and does not provide any indicator to assess the aggregated effect of risks on the entire project. Achieving a nearly accurate estimate of the project completion time or cost requires consideration of the probabilities and effects of the risks, as well as the interdependencies among them simultaneously.
<strong>Conclusion: </strong>The integrated model presented in this paper, in addition to providing a framework to evaluate the direct impact of risks on activities or work packages of a construction project, is able to assess the sensitivity of the project completion cost to the occurrence of the risks by considering the probabilities, effects and interdependencies.According to the results of the sensitivity analysis, the probabilities of “shortage of resources”, “inefficiency in project financing” and “poor design” are the main causes of delay in a gas refinery construction project.
https://imj.ut.ac.ir/article_68908_a556234888504c0aa565c528233c96da.pdfUnivrsity of Tehran PressIndustrial Management Journal3115-738610320180923Critical Systems Heuristics (CSH) to Deal with Stakeholders' Contradictory Viewpoints of Iran Performance Based Budgeting Systemادراک انتقادی سیستم (CSH) برای رویارویی با دیدگاههای متضاد ذینفعان نظام بودجهریزی بر مبنای عملکرد ایران4294546890910.22059/imj.2018.254206.1007404ENMahmoudDehghan NayeriAssistant Prof., Department of Industrial Management, Tarbiat Modares University, Tehran, Iran0000-0002-7648-2937MoeinKhazaeiMA. Student, Department of Industrial Management, Tarbiat Modares University, Tehran, IranFatemehAlinasab ImaniMA. Student, Department of Industrial Management, Tarbiat Modares University, Tehran, IranJournal Article20180309<strong>Objective:</strong> Performance based budgeting is an undeniable necessity for effective management of the country vital resources nowadays, which benefits all economic and social layers of the society if properly implemented. Accordingly, this has encouraged lots of studies and researches on PPB theories, concepts and models. This study deeply reviewed Iran’s PBB system within four basic issues, including motivation, knowledge, legitimacy and power through critical approach.
<strong>Methods:</strong> Exploration in this system has been made using a critical (Emancipatory) approach called Critical Systems Heuristics. The process consists of reflecting the hidden views of the stakeholders using 12 boundary questions in two states of “being” which refers to the present situation and “ought to” which refers to an ideal situation.
<strong>Results:</strong> Findings of the implementation of methodology showed that there are many technical, human and social problems involved in evaluating and implementing a performance-based budgeting system. The main criticisms of the system are targeting, focusing on the short-term political visions, ignoring the new critical expertise, and ignoring the transparency of the system.
<strong>Conclusion:</strong> Research findings provided some fruitful comments on Iran’s PBB system and its vital required changes and modifications according to stakeholders’ boundary judgments (primary judgments about and a holistic approach to the system).
https://imj.ut.ac.ir/article_68909_c4bdda917f8440d21381e4681e2d41ad.pdfUnivrsity of Tehran PressIndustrial Management Journal3115-738610320180923Identifying Significant Health Measurement of Equipment Affecting the Quality of a Continuous Product (Case Study: Unit 2, Parand Gas Turbine Power Plant)شناسایی شاخصهای سلامت تجهیزات، مؤثر بر کیفیت یک محصول پیوسته (مطالعه موردی: فرایند تولید برق واحد دو نیروگاه گازی پرند)4554806891010.22059/imj.2018.127321.1006879ENAmirHeydariMsc., Department of Industrial Engineering and Management Systems, Amir Kabir University of Technology, Tehran, IranSeyed HamidrezaShahabi HaghighiAssistant Prof., Department of Industrial Engineering and Management Systems, Amir Kabir University of Technology, Tehran, IranAbbasAhmadiassistant Prof./Department of Industrial Engineering and Management Systems, Amirkabir University of TechnologyJournal Article20150701<strong>Objective:</strong> Majorproducers consider quality as a major criterion in decision making<em>.</em>Quality characteristics are affected by maintenance and repair decisions. In this study, a model is developed to determine significant measurements of production equipment affecting the quality of a continuous product to identify which measurements are more critical in terms of quality.
<strong>Methods: </strong>Diversity of parameters affecting the quality and the delay until effects on quality come into view, are the main aspects of the issue. Genetic algorithm with a fitness function including prediction accuracy, convergence rate, and number of measurements is developed to obtain optimum set of measurements. Artificial neural networks are also used to evaluate the reliability and validity of the solutions.
<strong>Results: </strong>The proposed model was applied and evaluated by a case study in unit 2, Parand Gas Turbine Power Plant. The results demonstrated the optimum set of measurements which are significantly related to quality characteristic. In addition, the available data demonstrating that the terminal equipment in production process has more significant effects on quality.
<strong>Conclusion: </strong>The proposed model enjoys the capability of identifying the most important health measurements affecting the output quality of a continuous product in some limited steps of optimization algorithm by processing the history data from Condition Monitoring Process. With these significant measurements available, the decision makings in maintenance and repair can happen on the grounds of quality.
https://imj.ut.ac.ir/article_68910_8dad7718b3ab7d44fa3eaa49a1433208.pdfUnivrsity of Tehran PressIndustrial Management Journal3115-738610320180923Investigating the Role of the Components of the Knowledge-Based Economy in Iran Present Situation and the Vision Plan Countries Using Multiple- Group Discriminant Analysis and K-Mean Differentiation Analysisبررسی نقش مؤلفههای اقتصاد دانشبنیان در وضعیت ایران و کشورهای حوزه سند چشمانداز با استفاده از روشهای تحلیل تمایزی چندگروهی و k – میانگین4815016891110.22059/imj.2018.266596.1007490ENJafarRoodariPh.D Candidate in Economy, Faculty of Management and Economic, Islamic Azad University, Kerman Branch, Iran.MohsenZayandehroodyAssistant prof. In Economy, Faculty of Management and Economic, Islamic Azad University, Kerman Branch, IranHosseinMahrabiProf. in Agricultural Economic, Faculty of Shahid Bahonar University, Kerman, Iran.Journal Article20181001<strong>Objective</strong>: One of the long-term goals and strategies of the country for development in the 20-year vision plan is the development of the knowledge-based economy, so that with pursuing this strategy, Iran could become a knowledge-based economy by 1404. The purpose of this research is to explain the economic status of Iran among regional competitors based on the components of knowledge-based economy.
<strong>Methods</strong>: This study was based on World Bank documentation using clustering methods based on the K-Mean algorithm and Multiple- Group Discriminant Analysis with the aim of calculating the knowledge-based economy index and determining the components and criteria of each country studied between1995and 1995. It should be noted that the under-study countries are clustered into three groups based on 14 variables in the form of four components of knowledge-based economy.
<strong>Results</strong>: The results of the k-mean method showed that the variables of cell phone users, the quality of regulations, the number of Internet users per thousand ones, the number of telephone lines per thousand ones, and the number of Internet users per thousand ones played the most important role in separating the clusters. For the Multiple- Group Discriminant Analysis method, in the first differentiation function, the variables of the quality of regulation, the number of Internet users per thousand ones, cell phone users, and in the second differentiation function, the variables of tariff and non-tariff barriers, rule of law, the number of telephone lines per thousand ones have the most importance in creating a distinction between different groups of countries.
<strong>Conclusion</strong>: During 1995-1995, Iran has not seen significant progress in terms of knowledge-based economy index, and in the second group of countries (the average level), it has been considered as a composite index of the knowledge-based economy.
https://imj.ut.ac.ir/article_68911_ff9ff9e00885e462a58143b6c10c3109.pdf