@article { author = {Tavakoli, M. M. and Molavi, B. and Shirouyehzad, H.}, title = {Organizational Performance Evaluation Considering Human Capital Management Approach by Fuzzy-DEA: A Case Study}, journal = {International Journal of Research in Industrial Engineering}, volume = {6}, number = {1}, pages = {1-16}, year = {2017}, publisher = {Ayandegan Institute of Higher Education}, issn = {2783-1337}, eissn = {2717-2937}, doi = {10.22105/riej.2017.48022}, abstract = {In recent years, researchers in their studies considered human capital as one of the most important capitals of every organization and even some of them placed it beyond this definition and introduced it as the unique factor of creating the competitive advantage in the organization. Due to the importance of human capital management, by evaluating the performance of human capital management system, managers can be aware of their organization’s status from the perspective of human capital management creation and perform corrective practices better. In this study, a method for the performance evaluation and ranking of organizational unit is presented using fuzzy DEA. Therefore in the beginning, the performance of organizational units was evaluated using fuzzy DEA and then with the use of sensitivity analysis, the most effective criteria on the efficiency of organizational units were determined. Then using the efficiency of organizational units in the best and the worst states, ranking of organizational units has been paid. Finally to examine the functionality of the proposed method, Foolad Technic Company has been chosen as a case study and the procedure has been implemented in this company.}, keywords = {Performance Evaluation,Data Envelopment Analysis,Fuzzy,human capital management,Ranking,Sensitivity analysis}, url = {https://www.riejournal.com/article_48022.html}, eprint = {https://www.riejournal.com/article_48022_c2361ce99cc375a38f069b4f4e44336e.pdf} } @article { author = {Farsijani, H. and Shafiei Nikabadi, M. and Keshavarz Dastak, S.}, title = {The Role of Integration QFDVA in New Product Design to Achieve World-Class Manufacturing}, journal = {International Journal of Research in Industrial Engineering}, volume = {6}, number = {1}, pages = {17-38}, year = {2017}, publisher = {Ayandegan Institute of Higher Education}, issn = {2783-1337}, eissn = {2717-2937}, doi = {10.22105/riej.2017.48023}, abstract = {In the competitive economy of today, those companies are to succeed that can design efficiently and produce productions that would be preferred by its customers over those of their competitors and Those companies which desire to find for their performance a position in world-class should have the capability to quickly, efficiently and effectively respond to changes in global markets. So plans must be come up with which may satisfy customers’ needs and lead to highquality products that can compete with other companies. This paper aims at developing the way we can use QFD(quality function deployment) and VA(value analysis) tools both theoretically and in case study. Out of Iranian cars, Pride was chosen because of quality drawbacks it suffers from and then the combining process of QFDVA was applied to its bodywork. Finally, the research hypothesis was analyzed by developing and distributing a questionnaire. SPSS software was used for analyzing the data. Combining QFD and VA in product design obviated one of the executive problems in QFD, i.e., inability of the latter in recognizing all customer needs. The optimal value of the features of product design can be assessed by using the above-mentioned tools. Assessment of these features provides for allocating resources optimally to the recognized functions. One other finding of the research is that using QFDVA in new product design (NPD) improves the competitive status of the company in relation to its competitors in global market through improving designing and, consequently, decreasing the cost, increasing the quality and boosting sales. This paper provides some information for car industry and has some implications for defeating the competitors in the competition ridden market of today.}, keywords = {Quality Function Deployment,Value Analysis,Combined QFDVA,World-Class}, url = {https://www.riejournal.com/article_48023.html}, eprint = {https://www.riejournal.com/article_48023_92d1860567f28a283e5bfe6956e5d4ce.pdf} } @article { author = {Nikkhah, M. and Nikkhah, A. and Afsahi, A.}, title = {Evaluating the Implementation of Strategies in Plants Using Balanced Scorecard (BSC): A Case Study}, journal = {International Journal of Research in Industrial Engineering}, volume = {6}, number = {1}, pages = {39-50}, year = {2017}, publisher = {Ayandegan Institute of Higher Education}, issn = {2783-1337}, eissn = {2717-2937}, doi = {10.22105/riej.2017.48024}, abstract = {The main purpose of the present paper is to investigate the implementation of strategies in Neka Power Plant Management Company using Balanced Scorecard. For this purpose, it is necessary that the aspects of financial, customer, internal process development and learning BSC in electric power generating be identified, major Neka power strategies be prioritized, Neka power plant's performance on four aspects of BSC be evaluated and, by using a six step BSC, implementation of the strategies be evaluated. The Delphi and AHP are used to analyze the organization while prioritizing strategies, initiatives, along with qualitative and quantitative measures of the four perspectives of financial, customer, internal processes and learning are achieved.}, keywords = {strategy,balanced scorecard (BSC),Neka power plant}, url = {https://www.riejournal.com/article_48024.html}, eprint = {https://www.riejournal.com/article_48024_67deaf0a621ed00d535bf5142aa7201d.pdf} } @article { author = {Seiti, H. R. and Behnampour, A. and Imani, D. M. and Houshmand, M.}, title = {Failure Modes and Effects Analysis under Fuzzy Environment Using Fuzzy Axiomatic Design Approach}, journal = {International Journal of Research in Industrial Engineering}, volume = {6}, number = {1}, pages = {51-68}, year = {2017}, publisher = {Ayandegan Institute of Higher Education}, issn = {2783-1337}, eissn = {2717-2937}, doi = {10.22105/riej.2017.48025}, abstract = {Failure Modes and Effects Analysis (FMEA) is being widely used to detect and eliminate known and/or potential failures, problems, errors and so on from system design, process, and/or service, before they reach the customer. It can be done by calculating the risk priority number which is the product of three factors: occurrence, severity and detectability. A lot of efforts have been made to overcome the shortcomings of the crisp RPN calculation and extend it to fuzzy environment. In this study, the presented fuzzy approach allows experts to describe the variables of risk priority number using linguistic terms by applying the method of fuzzy axiomatic design (FAD). At the final part of this paper a hypothetical case study demonstrated the applicability of the FMEA model under fuzzy environment.}, keywords = {Fuzzy failure modes,Effects analysis,Fuzzy axiomatic design,fuzzy AHP}, url = {https://www.riejournal.com/article_48025.html}, eprint = {https://www.riejournal.com/article_48025_b49a5839725dfb4b79181ae009eb7364.pdf} } @article { author = {Nasiri, H. and Taghizadeh, K. and Amiri, B. and Shaghaghi Shahri, V.}, title = {Developing Composite Leading Indicators to Forecast Industrial Business Cycles in Iran}, journal = {International Journal of Research in Industrial Engineering}, volume = {6}, number = {1}, pages = {69-89}, year = {2017}, publisher = {Ayandegan Institute of Higher Education}, issn = {2783-1337}, eissn = {2717-2937}, doi = {10.22105/riej.2017.48026}, abstract = {Economic cycles are referred as repeatable movement of economic indicators with different domain and duration. Detection of these cycles may help in forecasting the contraction period or expansions of important parts of the economy specifically industry. In this regard, many economist and researchers have focused on composite leading indicators which are growing in terms of diversity of econometric methods. This paper studies 13 macro economical time series in order to develop the best composite indicator, reflecting business cycles of Iran’s industry. Number of established licenses, production index of large industrial units, producer price index and import value index are the chosen variables that make the proposed composite leading indicator. The result of comparison between composite leading indicator and value added time series in the studied period (1997 up to 2012) showed a good correlation between the fluctuations of composite indicators and value added of industry. The result also showed that the proposed leading indicator has the ability to predict the business cycle for maximum 4 and minimum 1 period ahead and in average the forecasted period is equal to 3.2 seasons.}, keywords = {Business Cycle,Composite Leading Indicator,Leading Indicators,Lagging Indicators,Coincident Indicators,Iran Industry}, url = {https://www.riejournal.com/article_48026.html}, eprint = {https://www.riejournal.com/article_48026_b7c92327b6f7e72dd727ea7cbb0d4652.pdf} }