نشریه مدیریت راهبردی در سیستم های صنعتی
پیاپی 52 (تابستان 1399)

In today's world, uncertain environment and high market competition has increased the importance of finding agility due to the necessity to act fast and meet the needs of the market day by day. Therefore, the purpose of the present study is to use Demetel method to investigate the causal relationships between factors affecting organizational agility in Kaveh Industrial City.The research method is applied in terms of purpose and in terms of data type. The statistical population of the study consisted of senior experts of metal products industries in Kaveh Industrial Township. The content analysis was used in the qualitative section and the dimensional method was used in the quantitative section.The themes were identified using eight themes of customer satisfaction, accountability, organizational change, agility, transformational leadership, information technology, learning organization and flexibility for agility. And four dimensions of transformational leadership, information technology, learning organization, and flexibility were identified as the most effective variables using the DEMATEL method. Transformational leadership is the most influential and agile organization with the most influence and the most effective.

One of the most important problems at the tactical level is the mass production of different orders, each of which has different priorities according to the production conditions and the importance of customers. The production line consists of several workstations and machines, each in production frequency. They are interconnected and the input is one output. In this case, each machine and process that must produce the product is faced with process and technology limitations in terms of time, volume and weight of each work and physical health of machines, manpower efficiency. This article aims to take into account all the factors affecting the balancing of the production line, which is of particular importance in workshop production planning, and by analyzing the history of solving the problems of the production line and using experts, the component Identify the ones that are effective in planning and scheduling the production line, and using the combined method of Swara and Copras, these effective components add to the balancing algorithm in time in production systems. The results of this study show that the update made in the balancing algorithm during the production line compared to the previous methods has operational capability and quality in results

Nowadays, production of economic production is one of the most important of policymaker’s tensions. Address to this. It is necessary to merge the farmer’s aims along policy makers as well as their necessities. Therefore, the current study attempted to investigate on optimum cropping pattern of agricultural crops in Kurdistan province respect to each county emphasizing on minimize virtual water. To follow research aim the necessary data were collected for the agricultural year 2015-6 using goal programming. The results showed that, the current cropping pattern does not has no comparative advantage and it has to experience significant change. In other words, the current cropping pattern willing must to change from mixed form to specialized one according to comparative advantage according to resource possibilities of each district. The range of change showed that, there are significant decrease and increase in some crops compare to current situation. The results showed that, irrigated wheat did not get permission to enter optimum model. In addition, the most of current crop due to low return as well as disadvantage of study area omitted in recommended pattern.

The purpose of this study was to design and explain the green marketing model of pharmaceutical Industry. This study, in terms of purpose, functional, in terms of approach, exploration, and in terms of data analysis, is mixed method (qualitative-quantitative). In the qualitative phase of the research and in order to design the model based on the data theory theory methodology, a group of experts including university professors, marketing consultants, and senior sales and marketing managers of pharmaceutical companies who were thoroughly involved in the sales and marketing of pharmaceutical companies and green marketing strategies, Were selected and interviewed in depth. During this phase, the snowball sampling method was used and the process continued until the theoretical saturation of the researcher was reached and a total of 11 interviews were conducted. In the quantitative phase, senior, middle and operational managers of pharmaceutical companies based in Tehran were considered as the statistical population and 210 of them were selected by simple random sampling. In the qualitative phase of the research, because of the fundamental data theory approach, the main tool for data collection was in-depth, unstructured interviews with experts. In the quantitative phase of the research, the main data collection tool was a closed questionnaire and a researcher made up of 51 items that were designed based on the conceptual model. In the quantitative phase of the research, SPSS and Listel soft wares were used to perform descriptive and inferential analyzes. Finally results led to the design of a green marketing model

Steel industry is one of priorities in Iranian vision export. This research suggests conceptual model about organization resource and export decision making in steel industry. It’s a description survey. The statistical population was senior manager of KSC. and MSCO., simple sampling with 168 surveys, t- test hypotheses with Structural Equation Modeling (SEM) and PLS software. Conceptual and visual validity approved by expert. Reliability measure by Cronbach’s alpha and Composite Reliability (CR), Convergent validity with average Average Variance Extracted (AVE), Divergent validity by Fornell-Larcker criterion and confirmed. PLS standard coefficient diagram apply for investigating hypothesis. The results reveal that distinction resource includes Human resources, Relationship Resource, Absorptive Capabilities and Product distinction have direct and positive significant impact on market attractiveness. Moreover, market attractiveness with organization commitment to export and organization export commitment with Export decision making have positive and significant relationship. R2 coefficient, Stone–Geisser (Q2) and GOF supports significance of coefficients and the strong predictive capacity of the model.

This study simulates and simulates the knowledge industry management system of the oil industry using the system dynamics approach (SD) in order to policy the development of knowledge management of the oil industry to eliminate the gap between existing knowledge capital and applied knowledge. First, with the participation of the planners involved in the Ministry of Oil, the organizational infrastructure of the success of the knowledge management system was identified and a causal chart was drawn based on the knowledge management process. The flow model was designed based on oil industry data and simulated on a 20-year horizon. After validating the model based on the results of the analysis of the sensitivity behavior of the variable knowledge gap, the development policies of the knowledge management system of the oil industry were extracted and analyzed. According to the research findings, three policies for the development of knowledge creation, the development of knowledge documentation infrastructure and the development of knowledge sharing in the oil industry, as well as the selection of a combination of policies were identified and simulated. As a result, the selected simulation is a combination of policies including the development of cooperation with the country's scientific poles, design of experience registration systems, culture-building of knowledge sharing, knowledge-based team building, respect for intellectual property rights, commercialization of oil industry knowledge as the best solution. , For the policy and planning of success, the establishment of the knowledge management system of Iran's oil industry was presented.