نشریه مدیریت راهبردی در سیستم های صنعتی
پیاپی 61 (پاییز 1401)

After the privatization and acceptance of Iran Telecommunication Company in the stock exchange, it is inevitable for the shareholders to know the efficiency status of the local telephone exchanges. The present study seeks to answer the fundamental question of how to identify the variables affecting the efficiency of exchanges and bring inefficient exchanges to the efficiency frontier. For this purpose, by collecting the opinions of experts in the form of a pairwise comparison questionnaire and analyzing the data using the analytic network process, effective variables in performance have been identified. Raw data have been prepared from planning, inspection and evaluation departments and financial statements for 2017. In the following, the efficiency of the exchanges is presented by data envelopment analysis method in terms of returns to a fixed and variable scale of calculation, ranking and strategies to improve the performance of inefficient exchanges. According to the findings, employee capability, employee satisfaction, customer satisfaction and management skills are the most effective variables in efficiency. The difference between the number of inefficient exchanges on a fixed and variable scale is the inefficiency of the scale, the non-functioning on the optimal scale and the waste of resources by the exchanges. The low rank of the cities necessitates the selection of the heads of telecommunications of the counties according to individual and specialized competencies. Also, the inefficiency of the exchanges is the lack of motivational competitive environment, decision-making power and risk-taking, and the existence of various organizational and legal constraints.

The need to observe the factors of sustainable development (especially environmental issues) in the ceramic-tile industry due to the high share of factories in this industry, has always been emphasized. In this article, we have tried to study the effective factors in the sustainable development of the supply chain of the ceramic-tile industry in Yazd province. The purpose of this study is to identify the indicators and provide a comprehensive model of supply chain sustainability in the ceramic-tile industry of Yazd province and to prioritize the indicators. Initially, while studying the research literature, 11 university administrators and experts were selected. Samples were selected by non-probabilistic snowball sampling method. The components were identified through semi-structured interviews and sampling was continued until theoretical saturation was obtained. In the qualitative part, the grounded theory approach was used. The obtained sub-indices were classified into 91 codes, 19 concepts and 6 categories based on the analysis of the grounded theory approach. Also, the findings of the quality sector led to the presentation of a comprehensive model of supply chain stability in the ceramic-tile industry of Yazd province. Quantitative data analysis was performed using the best-worst fuzzy method through Lingo17 software. And the results of the quantitative section led to the calculation of weight as well as the prioritization of dimensions and indicators. The concept of equipment with a final weight of 0.2777 was prioritized as the most important indicator and the concept of globalization with a final weight of 0.0027 as the least important.

With the development of information and communication technology, part of the supply chain, including organizational customers, suppliers, and other sectors that play an important role in the business process, has been transferred to existing information technology platforms, causing a complete change. Patterns of trade have become traditional. Thus, the purpose study is to present a conceptual model of the electronic supply chain based on cloud computing in the Iranian construction industry. The research method in this study is descriptive-correlational and analysis of the variance-covariance matrix. This research has been done in the form of libraries and fields. Thus, first, the literature libraries of the "electronic supply chain based on cloud computing", research background and theories on the subject were conducted, and after identifying the indicators, a questionnaire was distributed among the experts of companies active in the construction industry and a questionnaire was distributed. Finally, using the structural equation modeling method, the proposed conceptual model of the research was analyzed. Based on the structural equation modeling findings, in the companies active in the construction industry, "Cost Effectiveness (CEP)", "Delivery (DP)", "Quality (QP)", "Customer Relationship (CRP)", "Integration" (IP) "," Technology (TP) "," Flexibility (FP) "," Stability (S) "," Environmental Intelligence (IE) "," Ease of Access (EA) "and" Tactical Advantage (TA) " on "Electronic supply chain based on cloud computing in Iran's construction industry" has a positive and significant effect.

Nowadays, one of the necessities for every organization is an assessment and monitoring system in performance management form, monitoring the organization’s plans with a systemic approach at all levels, besides providing the feedback required to pave the way to achieve the predetermined objectives. The present study was aimed at designing a model for an organization’s performance management in the oil industry. It was carried out in two qualitative and quantitative phases by fuzzy Delphi and exploratory factor analysis methods, as well as confirmatory factor analysis (CFA). The qualitative phase was progressed by semi-structured interviews with 20 experts in oil industry and academic experts. In the quantitative phase, 241 senior and middle managers were chosen as the statistical sample. Based on the qualitative phase’s results and the fuzzy Delphi method, four main components (regulatory, recognition of criteria and dimensions of performance, executive plan and performance measurement, and continuous performance improvement) and 31 sub-components were identified for the organization’s performance management. The results of the exploratory factor analysis in quantitative phase revealed that 96.366% of the total variance is explained by these 31 components. Furthermore, according to the confirmatory factor analysis results, regulatory component affects the recognition of performance measures dimensions with the size of 0.771; recognition of criteria and dimensions of the performance has an effect with the size of 1.063 on the executive plan and performance measurement; and finally, the executive plan and performance measurement have an effect with the size of 1.056 on the continuous improvement and modification.

The automotive industry is one of the most important manufacturing industries in the world and in Iran this industry is known as the locomotive of other industries. However, the products of this industry have detrimental effects on the environment, and today, apart from the traditional view of the performance of organizations, other issues such as environmental and social issues have become important for the success of the organization; Therefore, having a model to evaluate sustainable production performance in this industry is very important. The purpose of this study is to identify the indicators and present a model to evaluate the performance of sustainable production in the Iranian automotive industry. In order to review the opinions and conduct interviews in this research, 10 first-rate experts in the automotive industry have been randomly selected. The research was carried out in three main phases: identification of indicators with Meta-synthesis, screening of indicators with fuzzy Delphi and finally modeling by Interpretive Structural Modelling method. After performing fuzzy Delphi, 5 criteria and 20 indicators were identified and in the modeling phase of training programs for employees and reliability was identified as the cornerstone of the model and organizational culture as the most affectability indicator. According to the model, it is necessary to pay attention to all the identified criteria (economic, environmental, social, managerial and technological) to achieve sustainable production, and all different aspects of knowledge should be used in this direction.

Flawless product production is one of the strategic goals of any organization. However, achieving this goal is not possible without eliminating waste. Lean production method is used as a way to reduce waste. The main philosophy of lean production in one sentence can be "the elimination of any activity and process that does not create value." Such activities are called wastage. This is achieved by techniques called lean manufacturing tools. The lean literature offers a variety of methods for identifying and disposing of waste, but many organizations still face several difficulties in implementing lean manufacturing systems. This study tries to use Triz as a powerful, efficient and structured tool that has opened a different perspective in the field of defining and solving problems facing human beings, to reduce waste in the driving force industrial company and use its problem-solving tools as solutions. Introduce effective in order to achieve pure principles in this organization. For this purpose, Topsis technique was used as one of the most efficient MADM methods and more efficient Triz tools in achieving pure principles were identified and prioritized based on effectiveness. According to the ranking results of Triz tools, the splicing tool is in the first priority, which is an analytical tool that plays a key role in structuring the problem and analyzing the situation, and directly eliminates the loss and creation of value.

Automotive companies are looking for ways to adopt a different strategy from other automotive companies to provide better customer service. An example of these distinct strategies is investing decisions in attractive areas of automotive companies. In this regard, the purpose of this study was to prioritize attractive areas of investment in the automotive industry based on the AHP method and evaluate investment risks in attractive areas of research and development based on the FMEA technique. The study population of this study is 21 experts in the automotive industry who have been selected based on judgmental sampling.First, using the FAHP method, attractive areas of the automotive industry are identified and prioritized, and then with the FMEA method, investment risk in the field of research and development of the automotive industry is analyzed. The results showed that among the main criteria, investment in energy transfer methods weighing 0.438 ranks first. Investment in human resources and development of lines with a weight of 0.180 and investment in production of main collections with a weight of 0.174 won the second and third ranks, respectively.Then, among all the sub-criteria, investment in research and development was ranked first. Also in the field of research and development, the risks related to the initial and detailed evaluation stage had a higher priority than the risks related to other stages.

The Fourth Industrial Revolution is transforming the manufacturing and service industries around the world, especially the leading countries in this field. This phenomenon can simultaneously bring wide opportunities and threats to our country's industries. By formulating strategic plans in accordance with the strength and competitive advantages of Iran, while maintaining and promoting the level of competitiveness of the country's industries, this emerging space can be used optimally to optimize industrial development processes. Using the Industrial Revolution 4, this paper presents a model of sustainable development with the approach of in the automotive industry. In this study, we tried to identify and categorize the obstacles to sustainable development as well as the opportunities of the Industrial Revolution 4 in order to create sustainable development by examining the literature and the opinion of experts during the Delphi technique. Then, the interpretive structural modeling approach was used to level and determine the relationships between stability barriers. In the next step, the opportunities of the Industrial Revolution 4 were ranked by the fuzzy (AHP) method. Finally, using the opinion of automotive industry experts, proposals were made to allocate the opportunities of the Industrial Revolution 4 to remove the obstacles to sustainability. The results showed: 1. Political, technical and economic barriers have the greatest impact on sustainability and sustainable development in industry, respectively; 2. Environmental and social dimensions are most affected by political and technical barriers, respectively; 3. Among the opportunities of the Industrial Revolution 4 the information and technological opportunities of the Industrial Revolution 4 have the highest rank and the supply chain management has the lowest rank.

The effective selection of maintenance tactics in the industry according to the factors and conditions affecting each of the equipment, shows the need to use innovative approaches. The purpose of this study is to obtain a matrix similar to the TRIZ contradictions matrix so that with the help of this matrix, appropriate maintenance tactics and functional repairs can be selected according to the condition of each equipment. In this study, in order to compare and analyze qualitative data, the , Meta-synthesis method has been used, so for this purpose, various databases, publications and search engines between 1960 and 2022 have been studied. The result of the studies performed using the , Meta-synthesis method is the extraction of 115 valid and related articles. In this research, the relationship between TRIZ principles and operational maintenance tactics has been obtained using the , Meta-synthesis method.The result of this research is the achievement of a matrix similar to the TRIZ contradiction matrix with the ability to provide and select maintenance tactics, corresponding to the parameters affecting each equipment. In order to make the right decision, the final results in each of the matrix cells of this study are prioritized using decision making methods. This matrix assists managers and maintenance specialists in decision-making and increases the speed of decision-making and selection of appropriate tactics. . Finally, the resulting matrix has been studied for evaluation in the National Iranian South Oilfields Company.

Examining the export trend of the country's plastics industry shows a significant decline. The NIPC, as the custodian of policy-making in the field of production, support and disinfection, undertook complications and strategic planning in this field. Scientific decision regarding the selection of the appropriate export development strategy for the plastics industry and the determination of the relative priority of each in order to eliminate the challenges of the export development of this industry is of special importance. The purpose of this article is to prioritize and analyze the sensitivity of declining factors and strategies to promote the export of the country's plastic industry by using AHP. The present research is an applied and descriptive-survey case study. The statistical population includes the effective export managers of the plastics industry who were selected by random sampling of 30. The results showed that the challenges of "product price fluctuations" and "lack of interaction with large foreign buyers" have the highest impact with impact coefficients of 0.631 and 0.197, respectively. The results of GSA of these two challenges indicate a positive effect on the strategy of "creating the necessary conditions for the facilitation of free trade (regional-international)" in solving them. The results of the SA of the total challenges showed that the NIPC, in order to meet the five challenges in the field of plastics industry exports, should pay the most attention to "creating the necessary conditions for facilitating free trade". Efforts to "organize export clusters", "efficient use of ICT" to pursue more seriously.

Game theory, a branch of applied mathematics, which has been recently used to study strategic behavior, i.e. the conditions in which the desirability of each factor depends on the decisions made by the players. The paper proposes a multilevel green transportation model under multi-stakeholder’s condition, that game theory could be used to selects the best interactive mode by presenting different scenarios so that all stakeholders in a game achieve their maximum benefits.In this paper, a comprehensive multi-level supply chain model consisting of several simultaneous stakeholders has been considered. An optimal model was developed to achieve the lowest cost at different levels of the chain. The optimal model includes the lowest costs of purchase and production, maintenance, shortage, and warehousing. The model also includes various components of products transportation and distribution for all members of the chain. The produced Co2 at different stages of production and transportation for both involved parties was accounted in the model to minimize the environmental impacts. Furthermore, a competition in the context of a game to select the optimal situation between the stakeholders of the supply chain has been considered make the best decision in terms of a participatory game by considering different scenarios. In this paper, Excel and Gams software were used to model and solve the numerical example. The results confirmed the superiority of the optimal values of the game theory model.