نشریه مدیریت راهبردی در سیستم های صنعتی
پیاپی 53 (پاییز 1399)

Today's turbulent and changing environment has created uncertainty in supply chains. And suppliers face many risks, which is why choosing resilient suppliers is so important. Therefore, the aim of this study is to identify and rank the components of resilient supplier selection in Chaharmahal and Bakhtiari steel industry. The present study was applied and was conducted in a mixed manner. In the qualitative section, theme analysis was used to code and identify the factors. AHP method was used to prioritize the factors in a small part using Supersigen software. The results of theme analysis showed that the effective factors include 6 general themes of agility, safety and environmental and social issues, flexibility, delivery, quality and technology and information technology. The agility component with a weight of 0.221 is in the first priority and the component of safety and environmental and social issues with a weight of 0.104 is in the last priority. Other factors influencing flexibility, delivery, quality, and information technology, respectively. Then, three companies supplying raw materials for steel production with QUALIFLEX technique were ranked. Using the research results, managers can select the appropriate resilient suppliers.

Abstract E-business and its technologies on the one hand change the balance of power between companies active in the field of information technology, better coordination between industries, more efficient and easier production methods, reduce errors in received and sent data and increase their accuracy, and from On the other hand, it has complicated the planning and formulation of strategies. Most frameworks are based on traditional attitudes, regardless of the electronic developments of the last decade. By introducing new factors in these frameworks, the strategies in the companies will certainly change as well. In this paper, a framework for developing electronic business strategy strategies is presented, which is either a combined approach of BS and BI. The research method has been applied and the method of expert systems has been used, which is finally according to two components. Business Continuity Management, Business Intelligence Strategies for attracting e-business to strategic planning is presented.

The purpose of this study was to evaluate the green timing in the production of two workshops by balancing the completion time and energy consumption. The research method is descriptive-analytic and also applicable to the purpose. This research has been designed to evaluate the performance of solving time-varying multi-machine flow shop problem considering the objective functions of minimizing total finishing time energy consumption, and the total weighted latency and early maturity of the work. Data were gathered through interviews and information from Padideh mashinsazi Gharb company and then implemented in MATLAB software. A total of 30 problems were produced with different dimensions based on commonly used methods and were evaluated by Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and Multiple Objective Particle Swarm Optimization algorithms (MOPSO). Three criteria for comparing MID, MS, and SNS were used along with the solution time to compare different states of the algorithm. Considering sustainability considerations in the timing of production and construction, in addition to the economic benefits of reducing carbon emissions, it helps the environment. The results of the comparison of the two algorithms using two hierarchical and tops analysis methods showed that the outputs from the comparison of the NSGA-II algorithm with the MOPSO algorithm are better for these problems.

There is a lot of information in the banking industry that is of particular importance in identifying it. The use of data mining techniques not only improves quality but also leads to competitive advantages and market positioning. By using data mining and in order to analyze patterns and trends, banks can predict the accuracy of how bank branches are ranked. In this paper, the branches of one of the large commercial banks (number of selected branches 1825 branches and the number of features used 57 features) were performed on real data using support vector machine categories and multi layer perceptron neural network. The evaluation results related to the support vector machine showed that this classifier has lower efficiency for the proposed method. However, the use of neural networks and its combination with PCA showed that it has high performance criteria. Values related to efficiency and accuracy were obtained using neural network with very high accuracy.

The aim of this study was to design a process model for human resource value creation in knowledge companies. Research is mixed in terms of applied purpose, exploratory in terms of approach, and qualitative-quantitative in terms of data analysis. In the qualitative phase of the research and in order to design a model based on the data theory methodology of the foundation, a group of experts (university professors, executives, and consultants) in the field of human resource management and knowledge-based companies were selected and interviewed in depth. In this phase, the snowball sampling method was used and this process continued until the theoretical saturation was reached and a total of 16 interviews were conducted. In the quantitative phase, the managers of knowledge-based companies in science and technology parks of Lorestan, Markazi and Hamedan provinces were considered as a community and among them, 175 people were selected as a statistical sample based on random stratified sampling to proportional sharing. In the qualitative phase of the research, because the data theory theory method was used, the data collection tool was unstructured interviews with experts. In the quantitative phase of the research, the main tool of data collection was a researcher-made questionnaire consisting of 58 items that was designed based on the initial conceptual model. In the quantitative phase, SPSS, Lisrel and smartPLS software were used for descriptive and inferential analysis.

Transportation of pharmaceuticals as one of the most complex types of transportation has always been studied by researchers. This issue, which is a subset of a key issue called the transportation of hazardous substances, is one of the most integral and high-risk activities in the industrial activity cycle. Trying to find the optimal solution to this problem is one of the most useful topics in logistics. Accordingly, this study optimized the design of the drug logistics network. In this regard, the issue of vehicle routing (VRP) has been inspired. In this regard, the issue of vehicle routing (VRP) is inspired. To this end, first a conceptual model for this problem and a new mathematical model for routing drug transport vehicles with the role of path sensitivity and time window uncertainty are presented. In order to solve the problem, the Gray Wolf meta-heuristic algorithm has been used as a new and efficient algorithm. To evaluate the performance of the proposed algorithm, this algorithm is compared with the exact solution method and genetic algorithms and particle swarm and the results of the gray wolf algorithm show that this algorithm provides answers with the least possible error in a very short time.

< p >In recent years, with the changing conditions of global markets, organizations have realized that in order to grow and survive in today''s turbulent environment, special attention must be paid to the supply chain. The oil industry is one of the industries in which social and environmental issues have been strongly emphasized. In this study, in order to improve supply chain management, we have identified the main, sub-criteria and the role of effective factors in organizational architecture, their effective interactions with each other in order to achieve research objectives. This article has been done by using the opinion of experts and using a questionnaire and hierarchical analysis method in the process of oil and gas production operation, the results show that in the main criteria, respectively, integrity, accountability , Flexibility and sub-criteria of reducing delivery time, and jointly integrated within the organization and increase / decrease production, jointly external integration and outsourcing, and then reduce costs, respectively, have the greatest impact. Among the organizational architecture options, process work, decision process, organizational structure, and then production and distribution of information have the most impact, respectively.

The cooling supply chain, due to its high energy consumption and refrigerant emissions, has high levels of greenhouse gas emissions and is one of the largest carbon emitters. In the cold supply chain, products should be stored at low and near or below freezing points. For this purpose, refrigerated warehouses and refrigerated trucks are essential. Therefore, this research aims to design a linear multi-objective decision-making model for supply chain management Which aims to reduce the overall supply chain cost, including the cost of capacity, transportation, inventory as well as costs associated with the effects of global warming due to greenhouse gas emissions. To analyze the research problem, a mathematical model for optimizing the supply chain has been designed and genetic algorithm has been used to solve this problem. The results of the first function test indicate that the model is high in the number of customers, and when the distributor's number is equal to the number of producers, the best one is possible. The second function analysis concludes that reducing the restoration time of the facility is effective in minimizing the first function, reducing costs and reducing greenhouse gas emissions. Therefore, according to the stated contents and the results obtained in this research, it can be pointed out that by optimizing the vehicles and also the proper use of the optimal number of means of transport, it can be expected that the pollution and proliferation of gases The greenhouse is at least possible.

Budgeting has various goals and applications in regulating, approving, implementing, and controlling government policies and organizations. Today, the operational budgeting system can remove the weaknesses of traditional budgeting and better controling of the organization. Therefore, the present study seeks to investigate the relationship between the efficiency of the budgeting system and the profit margin in Saderat Bank of Iran. In this study, a questionnaire consisting of eighteen questions including the components of HR expertise, budget inclusiveness, employees' beliefs about the budget objective and profit margin were used. The statistical population of this study is the staff of Saderat Bank of Kermanshah province with 490 employees. The sample size was 216 based on Cochran's limited community formula and the Likert scale questionnaire was distributed among the sample and analyzed. Finally, the results of statistical tests showed that there is a positive and significant relationship between the efficiency of the budgeting system and the profit margin. The results also showed that there is a meaningful relationship between the employees' belief in purpose, budget inclusiveness and human resources expertise and profit margin in Saderat Bank of Iran. Based on the results of the study, comprehensive coverage based on existing scientific and standards can provide continuity and facilitation of the bank's executive affairs and guarantee the profit margin of the bank.

The purpose of this paper is to design a multi-objective mathematical model in order to optimize the four-echelon supply chain of perishable goods using a hybrid algorithm with regard to procurement time, cost and customer satisfaction. Perishable four-echelon food supply chains are considered as different supply chains due to continuous and significant changes in the quality of food products throughout the chain until the end of consumption. In this research, a mathematical model for the location-routing facility in a four-echelon supply chain for perishable products with a simultaneous optimization approach of total supply chain costs, order delivery time, emissions and customer satisfaction is presented. To assess the validity of the research, the mathematical model in Behshahr food industry has been studied and the research problem is presented in the form of a multi-objective nonlinear programming model of mixed integer and to solve it, a hybrid of two refrigeration and red deer algorithms has been used. The results of the proposed algorithm are solved in a case study and the results of the algorithm performance are reviewed based on standard indicators and finally the computational results indicate the efficiency of the algorithm for a wide range of problems of different sizes.

This study aims to Identify the antecedent and consequence of Market Orientation in Dairy industry (case study of Ramak Dairy Products Company) was conducted. In terms of purpose, it was applied and in terms of how to collect information, it was a mixed (qualitative-quantitative) research.The statistical population in the qualitative section included academic and organizational experts including Ramek specialists and in the quantitative section included all employees of Ramek Dairy Products Company. The sample size was estimated in the qualitative part with theoretical saturation (15 people using purposive sampling) and in the quantitative part based on Cochran's formula 291 people.Data collection tools were qualitative interview, interview and quantitative researcher questionnaire. Thematic analysis method was used to analyze the qualitative data.The validity of the questionnaire was confirmed in terms of form, content and structure. The reliability of the questionnaire through Cronbach's alpha for the whole questionnaire was 0.86. Confirmatory factor analysis was used to analyze the data. The results identified 19 components and 90 indicators that 11 components (internal factors) of market orientation antecedent including senior management emphasis, manager risk-taking, conflict, cross-sectoral communication, structure, market-based reward system, marketers' expertise, Citizenship behavior, marketing culture, marketing capability and innovation and the four components of external factors of market orientation predecessors included market turmoil, competition, technological dynamics and market intelligence. And 4 components including commitment, satisfaction, employee solidarity and performance were considered as the consequences of market orientation. A research model consisting of the effective antecedents and consequences of market orientation was presented .

The competitive nature of the air transport industry has made it a high priority for customer satisfaction. Providing the right services in the airline is also a key factor in customer satisfaction. The main part of the service is the in-flight service, which is one of the most important features of drinks and food. Therefore, the purpose of this study is to present a beverage product optimization model for Iranian Airlines customers. Accordingly, in this study, the basic product presented in order to extract the features that from the customer's point of view need fixing or modification was evaluated with the central test product approach. For this purpose, 130 judges over 10 years old with long-range flight experience were first selected. After testing the product, they expressed their views on 13 Jar-type product characteristics and overall product interest in the questionnaire. . Then the data were analyzed by Fine Analysis method using XLSTAT software. The results show that the characteristics of pickling, concentration and carbonation are out of reach of the customers and should be improved. The research findings help the research and development unit of the beverage company to finalize the optimum product that is in line with market preferences and customization by manipulating the compounds and tailoring these three characteristics; and, thus, Iranian airlines gain the competitive advantage through serving it