University of TehranInterdisciplinary Journal of Management Studies (Formerly known as Iranian Journal of Management Studies)2981-079512220190401A New Robust Bootstrap Algorithm for the Assessment of Common Set of Weights in Performance Analysisیک الگوریتم نوین بندپوتین قوی برای ارزیابی مجموعه وزنهای مشترک در تحلیل عملکرد1751896959010.22059/ijms.2019.254137.673058ENİhsanAlpDepartment of Statistics, Faculty of Sciences, Gazi University, Ankara, TurkeyVolkan SonerOzsoyDepartment of Statistics, Faculty of Sciences, Gazi University, Ankara, Turkey0000-0002-6417-8946Journal Article20180312The performance of the units is defined as the ratio of the weighted sum of outputs to the weighted sum of inputs. These weights can be determined by data envelopment analysis (DEA) models. The inputs and outputs of the related (Decision Making Unit) DMU are assessed by a set of the weights obtained via DEA for each DMU. In addition, the weights are not generally common, but rather, they are very close to zero or they are even equal to zero. This means that some major criteria will not be considered. Another problem is the similarity of the efficiency scores of efficient DMUs. However, this is not the case in reality, and the performance of the DMUs should be completely ranked. Using common weights can solve these problems completely during measuring the performance of DMUs. There are some articles in the literature to determine common weight sets (CSWs), but none of them takes into account the bootstrap approach. This paper introduces a novel, empirical and robust algorithm based on bootstrapping technique to find CSWs.https://ijms.ut.ac.ir/article_69590_92ff1e5f5d8c86f5140ae307d05c2df0.pdfUniversity of TehranInterdisciplinary Journal of Management Studies (Formerly known as Iranian Journal of Management Studies)2981-079512220190401A Competency-based Typology of Technology Entrepreneurs: A Systematic Review of the Empirical Studiesیک سنخ شناسی از کارآفرینان فناوری مبتنی بر شایستگی ها بوسیله مرور نظام مند ادبیات1912117012110.22059/ijms.2019.241656.672822ENMohammad SadeghBaradaranFaculty of Entrepreneurship, University of Tehran, Tehran, IranJahangirYadollahi FarsiFaculty of Entrepreneurship, University of Tehran, Tehran, Iran0000-0002-7941-9175Seyed RezaHejaziFaculty of Entrepreneurship, University of Tehran, Tehran, Iran0000-0002-9816-5537MortezaAkbariFaculty of Entrepreneurship, University of Tehran, Tehran, Iran0000-0001-5215-3349Journal Article20180510Due to the importance of technology entrepreneurs’ competencies in the creation and development of technological businesses, a distinct stream of research has been dedicated to this subject. However, given the nature of suchlike studies, it is difficult to reach a common understanding of the competencies. In fact, there is a need to provide some systematization to achieve advancements in the field. A review of 87 articles indexed on Scopus about technology entrepreneurs indicates that competencies of technology entrepreneurs can be classified under three groups of technological competencies, entrepreneurial competencies, and managerial competencies. This classification is used for two purposes, namely to categorize the technology entrepreneurs based on their competencies and to recommend new venues of research to study technology entrepreneurs. This paper can help technology entrepreneurs develop their competencies. It will also be useful in identifying entrepreneurs, and in training and developing the competency of academic entrepreneurs, technology incubators, and accelerators.https://ijms.ut.ac.ir/article_70121_0bb52e377b510987965866875a85f7d0.pdfUniversity of TehranInterdisciplinary Journal of Management Studies (Formerly known as Iranian Journal of Management Studies)2981-079512220190401A Novel Approach to Evaluate the Road Safety Index: A Case Study in the Roads of East Azerbaijan Province in Iranروشی جدید برای ارزیابی شاخص امنیت جاده ای: مطالعه موردی- جاده های استان آذربایجان شرقی در ایران2132337012210.22059/ijms.2019.271035.673431ENKazemTeimourzadehDepartment of Mathematics, Lahijan Branch, Islamic Azad University, Lahijan, IranJafarPourmahmoudDepartment of Applied Mathematics, Azarbaijan Shahid Madani University, Tabriz, IranSohrabKordrostamiDepartment of Mathematics, Lahijan Branch, Islamic Azad University, Lahijan, IranJournal Article20181122Road safety index is an important indicator that has been recently introduced as a useful tool to measure the quality of life in many countries and cities. Road safety index is a complex index and it has at least three main components, including road user behavior, vehicle safety, and road infrastructure effects. Many researchers have selected studying road performance from road safety index perspective due to its feasibility and applicability. To calculate the road safety index, a novel approach was proposed using data envelopment analysis method. In this paper, the selected road safety indicators are classified into two groups, namely the desirable and undesirable indicators. The new approach was applied for a case study in the roads of East Azerbaijan Province in Iran. Inefficient roads were recognized applying the proposed method, and strategies were suggested to improve the efficiency of these roads.https://ijms.ut.ac.ir/article_70122_ce897c3a85b3d3fde2409ffe4b924ccd.pdfUniversity of TehranInterdisciplinary Journal of Management Studies (Formerly known as Iranian Journal of Management Studies)2981-079512220190401A Simulation-Optimization Model For Capacity Coordination In Make To Stock/Make To Order Production Environmentsمدل شبیه سازی – بهینه سازی برای توازن ظرفیت در محیط های تولیدی ساخت بر مبنای انبارش/ ساخت بر مبنای سفارش2352536992210.22059/ijms.2019.255382.673087ENHeliaYousefnejadSchool of Industrial Engineering, College of Engineering, University of Tehran, Tehran, IranMasoudRabbaniSchool of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran0000-0001-8756-4922NedaManavizadehDepartment of Industrial Engineering, Khatam University, Tehran, IranJournal Article20180406Capacity coordination, as the tactical level of hierarchical production planning in hybrid MTS/MTO systems, includes numerous important decisions. In this paper, two of these decisions i.e. finding the best strategy for the acceptance/rejection of incoming orders and determining orders’ due dates – are investigated. Also a simulation model is proposed to evaluate the efficiency of the presented mixed integer model. Finally, an industrial case study is considered in a food processing plant to evaluate the proposed framework and conduct suitable sensitivity analysis.https://ijms.ut.ac.ir/article_69922_14088e4c7fba1c0b89f7aaf418a56306.pdfUniversity of TehranInterdisciplinary Journal of Management Studies (Formerly known as Iranian Journal of Management Studies)2981-079512220190401A Unique Mathematical Framework for Optimizing Patient Satisfaction in Emergency Departments2552797083310.22059/ijms.2019.263086.673239ENHamidrezaFarzaneh KholghabadDepartment of Industrial and Systems Engineering, Fouman Faculty of Engineering, College of Engineering, University of Tehran, IranNeginAlisoltaniSchool of Industrial Engineering, College of Engineering, University of Tehran, Tehran, IranSalmanNazari-ShirkouhiDepartment of Industrial and Systems Engineering, Fouman Faculty of Engineering, College of Engineering, University of Tehran, IranMohammadaliAzadehSchool of Industrial Engineering, College of Engineering, University of Tehran, Tehran, IranSaeedMoosakhaniSchool of Industrial Engineering, College of Engineering, University of Tehran, Tehran, IranJournal Article20180731In healthcare systems, emergency departments (EDs) are the most vital<br />elements, in that they provide critical and immediate healthcare services to the<br />patients 24 hours a day. Patient satisfaction is a crucial concept and a practical<br />tool for evaluating the performance of the EDs. This study presents a unique<br />framework for the performance optimization of an emergency department in a<br />big general hospital in Iran based on the standard patient satisfaction indicators.<br />Standard questionnaire is designed and used in a large and busy emergency<br />department. The reliability and validity of the questionnaires are obtained by<br />Cronbach’s alpha and parametric and non-parametric analysis of variance<br />(ANOVA), respectively. Afterwards, the most efficient data envelopment<br />analysis (DEA) model is selected and employed to assess the performance of the<br />emergency department based on the selected indicators. Results show that<br />certain indicators such as quality of equipment, performance of physicians and<br />treatment time have the greatest impact (weight) on overall patient satisfaction.<br />The framework of this study is a practical approach for all types of emergency<br />departments in the process of the improvement and optimization of patient<br />satisfactionhttps://ijms.ut.ac.ir/article_70833_becef4f8225c4250e6d17ece3b360785.pdfUniversity of TehranInterdisciplinary Journal of Management Studies (Formerly known as Iranian Journal of Management Studies)2981-079512220190401A Genetic Algorithm Developed for a Supply Chain Scheduling Problemارایه یک الگوریتم ژنتیک توسعه یافته به منظور حل مساله زمانبندی در زنجیره تامین2813066946110.22059/ijms.2019.254633.673069ENSeyed Mohammad RezaTaheriDepartment of Industrial Engineering, University of Semnan, Semnan, IranMohammad AliBeheshtiniaDepartment of Industrial Engineering, University of Semnan, Semnan, IranJournal Article20180522This paper concentrates on the minimization of total tardiness and earliness of orders in an integrated production and transportation scheduling problem in a two-stage supply chain. Moreover, several constraints are also considered, including time windows due dates, and suppliers and vehicles availability times. After presenting the mathematical model of the problem, a developed version of GA called Time Travel to History (TTH) algorithm, inspired from the idea of traveling through history, is proposed to solve the problem. In order to validate the performance of the proposed algorithm, the results of TTH algorithm are compared with two other genetic algorithms in the literature. The comparison results show the better performance of the proposed algorithm. Moreover, the results of implementing the sensitivity analysis to the main parameters of the algorithm show the behavior of the objective functions when the parameters are changed.https://ijms.ut.ac.ir/article_69461_41d014f5fa61e7d09c6c06ef85e5b80a.pdfUniversity of TehranInterdisciplinary Journal of Management Studies (Formerly known as Iranian Journal of Management Studies)2981-079512220190401Integrated Process Planning and Active Scheduling in a Supply Chain-A Learnable Architecture Approachبرنامه ریزی فرایند و زمان بندی فعال یکپارچه در زنجیره تامین- رویکرد معماری قابل یادگیری3073337083410.22059/ijms.2019.255363.673086ENEsmaeelMoradiSchool of Industrial Engineering and Management, Oklahoma State University, Stillwater, USAAshkanAyoughDepartment of Industrial Management, Management and Accounting Faculty, Shahid Beheshti University, Tehran, Iran0000-0001-7706-2101MostafaZandiehDepartment of Industrial Management, Management and Accounting Faculty, Shahid Beheshti University, Tehran, Iran0000-0003-1209-9514Journal Article20180819Through the lens of supply chain management, integrating process planning decisions and scheduling plans becomes an issue of great challenge and importance. Dealing with the problem paves the way to devising operation schedules with minimum makespan; considering the flexible process sequences, it can be viewed as a fundamental tool for achieving the scheme, too. To deal with this integration, the modeling approach to problem with MIP structure is common in the literature. These models take precedence constraints into consideration to select machines and to determine sequences. In order to obtain viable sequences, we employed a proposed transformation matrix (TM). We also took advantage of an evolutionary search, called Learnable genetic Architecture (LEGA). Based on LEGA, we developed an integrated process planning and scheduling learnable genetic algorithm (IPPSLEGA). Our approach was evaluated with problems with various sizes. The experimental results show that our proposed architecture outperforms prior approaches, or it performs, at least, as efficiently as they do.https://ijms.ut.ac.ir/article_70834_58ee99de1ae3848dd3f2aeb08469ab44.pdf