List of articles (by subject) Operations Management


    • Open Access Article

      1 - Combination VIKOR Model and Measurement Systems Analysis(MSA)
      Alireza Alinejad amir amini mohsen ziamanesh
      Abstract: One of basic principle of any organization is to assure about obtained figures from measuring products. If the measured data was not trusted, will be lead to a wrong decisions regarding the approval or rejection of products and obviously the cost would be gre More
      Abstract: One of basic principle of any organization is to assure about obtained figures from measuring products. If the measured data was not trusted, will be lead to a wrong decisions regarding the approval or rejection of products and obviously the cost would be great. First cases in measurement systems analysis which crossing minds are criteria for approval or rejection any measurement system using its obtained results. It seems that comparing and ranking different measurement systems have an important role in future of any organization, when every system is evaluated by common criteria in measurement systems analysis. In this paper duo to ranking different measurement systems as an Alternative and average Attribute and calculated indices is considered as a bench mark in measurement systems analysis. For this purpose, a multiple criteria decision-making model, VIKOR method has been presented.in order to determine the Attribute weight we used AHP method, before VIKOR. Manuscript profile
    • Open Access Article

      2 - The Effect of Risk Management on Supply Chain Management (Case Study: SAIPA Company)
      hadi rezghi shirsavar sina shirtavani
      The present study aimed to determine the effect of risk management on supply chain management(case study: Saipa Company). This study was applied in terms of purpose and descriptive-correlational in terms of data collection method. The tools used in this study include th More
      The present study aimed to determine the effect of risk management on supply chain management(case study: Saipa Company). This study was applied in terms of purpose and descriptive-correlational in terms of data collection method. The tools used in this study include the 29-item questionnaire. The statistical population of this study included 110 managers of Saipa Company in Tehran. In this study, 86 samples were required using the Morgan Table. In general, 100 questionnaires were distributed and 89 questionnaires were completely returned to the researcher. In order to determine the sample size, the Morgan Table was used. Thus, 100 questionnaires were distributed and a number of 89 complete questionnaires were entered the analysis after eliminating the unfilled and unreadable questionnaires. The software used for descriptive statistics included SPSS and PLS for confirmatory factor analysis using the structural equations technique (SEM). The research findings indicated that all research hypotheses, except behavioral uncertainty, other factors such as risk reduction, environmental uncertainty, risk management process, and risk monitoring affect the performance of supply chain. Manuscript profile
    • Open Access Article

      3 - Determining the Sequence and Schedule of Job-shop Production Systems using Genetic Algorithm by considering Possible Values
      seyed ahmad shayan nia mostafa mohammadi Mohammad Reza lotfi Javad Rezaeian
      Sequencing and scheduling of production in jobshop production systems was investigated in this article. Each operation specific to a job has a random duration with a mean and variance, taking into account this uncertainty in the assumptions of the model, the adaptation More
      Sequencing and scheduling of production in jobshop production systems was investigated in this article. Each operation specific to a job has a random duration with a mean and variance, taking into account this uncertainty in the assumptions of the model, the adaptation of the model to the real conditions of the production environment. Each job has the operating costs of the machine during processing, the cost of equipment idle for each unit of time delay in receiving the work. In this study, the optimal scheduling is Reduction of costs. The algorithm used to solve the problem is a genetic algorithm. The efficiency of the proposed algorithms has been tested and analyzed with a number of selected problems from the literature. This study was performed in a situation where the time of operation is uncertain and follows a specific statistical distribution (normal, exponential and uniform). The performance of the genetic algorithm was evaluated based on time criteria and objective function. The results obtained from the genetic algorithm were compared with the results obtained from the combined algorithm (neural network and SA algorithm) and the results obtained from the optimal solving procedures using Lingo software version 6 for 5 sample production scheduling problems. The results show that the integrated algorithm performed better than the genetic algorithm Manuscript profile
    • Open Access Article

      4 - Designing and testing the supply chain agility model in oil and gas industry with a mixed approach
      Sajjad Shamsi Gooshki Arsalan Nami Mohammad Solgi
      Today, environmental change has become an integral part of businesses. One of the best ways to respond to these changes is supply chain agility. Therefore, the purpose of this study is to design and test the supply chain agility model in oil and gas industry. This resea More
      Today, environmental change has become an integral part of businesses. One of the best ways to respond to these changes is supply chain agility. Therefore, the purpose of this study is to design and test the supply chain agility model in oil and gas industry. This research is conducted with a mixed approach. The statistical population was experts in the oil and gas industry. In the qualitative phase, a sample consisting of 8 experts are selected to extract the drivers, components and consequences of supply chain agility model and using the content analysis approach. In the quantitative phase, a sample of 64 experts are selected and the collected data are analyzed using a questionnaire tool through the structural equation modeling approach with Smart PLS software version 2. Qualitative findings represent that environmental drivers act as prerequisites and requirements of supply chain agility. Supply chain agility consists of the general categories of agile sensitivity, planning and production, which ultimately leads to the consequences of supply chain agility. Quantitative phase findings show that supply chain agility drivers have a significant and positive effect on agility sensitivity, agile planning and agile production. Also, agile planning and agile production have a significant and positive effect on the consequences of supply chain agility, but agile sensitivity has no significant effect on the consequences of supply chain agility. The results of fitting the research model also showed that this model has a good fit. Manuscript profile
    • Open Access Article

      5 - Prioritization of factors affecting the development of industrial clusters in small and medium industries with a multi-criteria decision approach
      Seyed Ahmad Shayannia Mohammad Reza Lotfi Iman Koravand
      Today, the role of industrial clusters as a spatial representation of small and medium industries in providing development in its general sense, both in less developed countries and in more developed countries, is not hidden from anyone because industrial clusters are t More
      Today, the role of industrial clusters as a spatial representation of small and medium industries in providing development in its general sense, both in less developed countries and in more developed countries, is not hidden from anyone because industrial clusters are the location of industries. Small and medium appear in relation to each other and together in a geographical context, due to having wide horizontal and vertical links, provide a high level of productivity and efficiency for business formation. The purpose of this study is to prioritize the factors affecting the development of industrial clusters in small and medium industries. The method used in this research is Analytic network process.The statistical population of the present study is the experts of industrial clusters. Finally, spatial factors were in the first place and policy factors were in the second place and economic factors were in the third place finally practical suggestions were provided Manuscript profile
    • Open Access Article

      6 - The Impact of Corporate Social Responsibility on Innovative Performance with Considering the Mediating Role of Marketing Effectiveness: A Case Study of Khuzestan Steel Industries
      Hamed Charkhab Ghanbar Amirnejad
      The present study aimed to investigate the impact of corporate social responsibility on innovative performance by considering the mediating role of marketing effectiveness in Khuzestan steel industries. This study is applied in terms of aim, descriptive-survey in terms More
      The present study aimed to investigate the impact of corporate social responsibility on innovative performance by considering the mediating role of marketing effectiveness in Khuzestan steel industries. This study is applied in terms of aim, descriptive-survey in terms of approach and causal in terms of type of research. The statistical population of the present study was all employees of Khuzestan steel industries. In this study, using a convenience random sampling method, 306 statistical samples were included in the study. The main instrument for data collection in this study was a standard questionnaire with 26 items. In this questionnaire, the answers were designed on a five-point Likert scale (from strongly disagree to strongly agree). The validity of the questionnaire was evaluated by face validity and confirmatory factor analysis, and its reliability was evaluated by calculating Cronbach's alpha coefficient. After distributing and collecting questionnaires and extracting data, descriptive and inferential analyses were performed in SPSS and LISREL Software. In this process, analyses such as Cronbach's alpha coefficient calculation, descriptive statistics on research variables, KMO test, Kolmogorov-Smirnov test, confirmatory factor analysis and path analysis were performed. Finally, the results showed that corporate social responsibility has a positive and significant impact on innovative performance and marketing effectiveness variable plays a mediating role in this regard Manuscript profile
    • Open Access Article

      7 - The impact of diversification on risk reduction: using a mix of Merton model and random matrix approach to take into account non-stationary
      Zahra Eskandari Mirfeiz Fallah Shams Gholamreza Zomorodian
      Portfolio diversification has been discussed in many researches and has been proven in different portfolios, including stock portfolios, currency portfolios, etc. In this paper, we are going to investigate the impact of diversification on a credit portfolio risk related More
      Portfolio diversification has been discussed in many researches and has been proven in different portfolios, including stock portfolios, currency portfolios, etc. In this paper, we are going to investigate the impact of diversification on a credit portfolio risk related to companies listed on the Tehran Stock Exchange. To calculate the risk of the mentioned companies, we use structural Models of credit risk. In fact, the most important factor for assessing the risks of financial markets is the estimation of loss distribution. On the other hand, the estimation of loss distribution is highly dependent on the characteristics of the distribution parameters. One of the characteristics that can affect the loss distribution is non-stationary time series of asset returns. In this research, the data of the adjusted prices of the companies in the Tehran Stock Exchange for the period 2011 to 2019 is used. The loss distribution of credit portfolio is obtained through Merton's model with regard to non-stationary time series of asset returns and the changes of the asset returns’ covariance matrix during the period of 2011-2019. The risk measure used in this paper is the value at risk. According to the results of the model, at lower confidence levels such as 99% and 99.5%, there is not enough evidence for the impact of diversification in reducing risk, but at the confidence level of 99.9% and for the type error of 5%, it can be said that diversification has a significant effect on reducing risk. Manuscript profile
    • Open Access Article

      8 - Identifying the Management Categories of the Evaluating and Monitoring System for the Realization of the Resistance Economy Policies with an Emphasis on Ayatollah Khamenei’s Statements
      Ehsan Mahdavi Sanjar Salajegheh Masoud Pourkiani Saeed Sayadi Alireza Arabpour
      Economic development has always been the focus of Iran's statesmen and economists, but there was no consensus on the method of national economic development until the last decade. Considering the nuclear issue and different approaches in the international arena towards More
      Economic development has always been the focus of Iran's statesmen and economists, but there was no consensus on the method of national economic development until the last decade. Considering the nuclear issue and different approaches in the international arena towards Iran, multilateral sanctions and the intensification of sanctions, Iranian economists have tried to present a local model called resistance economy in order to get out of the current situation. The "exploratory" approach has been carried out in order to identify the management categories of the system of evaluating and monitoring the realization of resistance economy policies, emphasizing the statements of Ayatollah Khamenei. The current research is qualitative and with an "exploratory" approach, which has identified the managerial categories of the evaluation and monitoring system for the realization of resistance economy policies by posing questions and without a hypothesis, emphasizing the statements of Ayatollah Khamenei. Research data has been collected using research literature and interviews with 10 elites of the national and political economy of the Islamic Republic of Iran. During the interview with 10 of the "politicians of the approved policies of the Islamic Council" and "scientific experts", the collected information and interview data were coded and a compilation model was presented with MAXQDA software. The dimensions of the resistance economy model and its components the system of evaluating and monitoring the realization of resistance economy policies is hopefully the proposed model in writing the development plans of the Islamic Republic of Iran to be exploited in the resistance economy. Manuscript profile