نشریه مدیریت راهبردی در سیستم های صنعتی
پیاپی 40 (تابستان 1396)

The creation of solar panels can be a turning point in the use of clean energy. Environmental protection, non-polluting, and efficiency of solar panels cause that they have been one of the important and novel means of electrical power generation in many parts of the world. In this paper, a hierarchical data envelopment analysis process is applied to determine the most efficient location for the solar power sites under uncertainty environment. Finally, the proposed approach is conducted for a real case study and the best and the most effective location is chosen for solar power generation site.

Heavy transportation plays a leading role in the construction and development of infrastructure of industries. Consequently, transportation of heavy, expensive equipment has drawn the attention of many organizations around the world. This paper proposes a multicriteria decision-making model to assess the performance of firms dealing with the logistics and transportation of heavy equipment. First, a number of evaluation criteria were determined by reviewing research works in this area, interviewing experts and using the Delphi method. Afterward, a panel of experts compared the evaluation criteria, and the Analytic Hierarchy Process (AHP) was used to determine the relative importance of the evaluation criteria. Then, Fuzzy Technique of Order Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) was utilized to assess the performance of firms active in the area of heavy equipment transportation. Finally, the assessment procedure was conducted by ELimination Et Choice Translating Reality (ELECTRE). A case study of firms active in the heavy transportation within oil, gas and petrochemical industries in Iran was used to implement the proposed multicriteria framework. Results of both Fuzzy TOPSIS and ELECTRE methods showed that the A7 organization is the leading one in the transportation of heavy industrial equipment. In addition, both these methods provided a similar ranking of other organizations active in the transportation of heavy industrial equipment.

Studying the Supply chain for products with the limited lifespan is important not only in the supply chain but also in production and distribution of food. One of these products is the Olive oil produced by the ETKA Company, whose production and distribution always have different challenges with regard to their limited life. Therefore, in this study, considering the current status of the supply chain of the supermarket stores in three levels of producer, storage, and distributor, a new model for determining the optimal distribution that leads to lower costs in the company is presented. Firstly, the three-level model was presented and described and then using the GAMS software and also the GA algorithm and by using the information received from the company, the optimum distribution of olive oil was determined. Based on the results obtained from the model’s solution, implementation of the model for the supermarket stores not only determines the optimal distribution but also leads to lower costs, which can be spent on investment in different sectors.

This research deals with the resilient supply chain of Iran Khodro Company. The aim of this study is determining strategies going to be able to prevent the occurrence of stops in the production line of Iran Khodro, or in case of stop, how production lines are restored in the minimum time to the state of pre-disruption or the most favorable condition. This study intends to introduce a comprehensive model of resilience in the Iran Khodro supply chain. In this study, all failure modes that have the potential to stop Iran Khodro production lines (12 failure modes) have been identified through the research literature and expert opinions. The population of this research includes managers and experts of logistics and planning departments of Sapco Company. In this research, FMEA technique has been used to determine resilience strategies in the supply chain before the occurrence of failures and also a new technique which named failure analysis after occurrence (FAAO) is used to determine resilience strategies in the supply chain after the occurrence of a failure. Also, the resilience model is approved by structural equation modeling and Amos software. 4 failure modes that have the highest risk priority number (RPN) have been selected by experts using FMEA technique and 21 strategies have been introduced in order to make resilient the supply chain of Iran Khodro to deal with these failure modes. Moreover, 6 strategies have been determined using FAAO technique in order to make resilient the supply chain toward failure.

In today’s competitive and fast-moving marketplace, agile manufacturing is one of the strongest tools to respond to customer demands. Companies face the high environmental change due to the high level of competition for personalized products, reducing production time and high speed of emerging technologies. These organizations need to increase their agility in order to adapt business processes with rapid changes and survive in the competitive environment. In the current changeable situation, everyone found that the only competitive advantage of organizations in the future is that managers learn how to learn faster than their competitors and this is meaning of agility concept. Most of the experts state that the most successful organizations in the future will be those who are agiler. The main aim of this research is to present a model to identify contributing factors in agility of Fajr Jam gas refinery. The data were collected from managers and experts of Fajr Jam gas refinery. In order to analyze data Interpretive Structural Modeling (ISM) was used, and relations between criteria were identified. Then using MICMAC analysis the amount of influence and dependence of each criterion was obtained. The result of analyzing data indicate that “empowered and multi-skilled workers” criterion with the greatest leverage, ranked as the most influential criteria. Finally, some practical offers and strategies for managers are provided.

Nowadays, the variability of processes is the most important reason for increasing costs and reducing efficiency and product quality, and companies are always trying to remove it. The purpose of this research is to identify Critical Success Factors (CSFs) of reducing the variability of processes with Six Sigma approach in the dairy industry. The statistical population of this research is dairy companies that managers and experts of production and quality control units of these companies as the statistical analysis unit were selected. Initially, through an in-depth review of past studies, the effective components on reducing the variability of processes were determined and then using exploratory factor analysis technique, the CSFs of reducing the variability of processes with Six Sigma approach were identified. Finally, using Bartlett's test, equality of variance was tested for the identified CSFs. The obtained results showed that eight CSFs of reducing variability of processes with Six Sigma approach were identified in dairy industry, which include: "Managing variability of processes", "nature of project team", "nature of project", "engagement and commitment of senior management" "communication with Customers and Suppliers," "Cultural Change," "Employee Learning," "Data and Information Management." Also, the research results showed that the effect of each of the CSFs on the reduction of processes variability is different. The result of this research can be used by decision-makers and managers of manufacturing companies to improve processes and productivity.

Frog leaping algorithm combination (SFLA) is an algorithm based on memetic Meta-heuristic. Created in recent years by Eusuff and Lansey, SFLA algorithm works in a way that the frog groups search for food. The development of memetic algorithms for local search method is similar to the activities of a frog among subgroups. SFLA uses a combination of strategy and provides the ability to exchange messages in local search. Frog leaping algorithm combines the advantages of particle swarm optimization algorithm and memetic development (PSO). Since the resource-constrained project scheduling problem is the timing issue, scheduling issues in the construction sites and plants is highly considered. One of the main duties of the project scheduling and project management is to reduce the completion time. Because of the resource constraints and precedence relationships between activities, project scheduling problem is difficult. In this paper, the algorithm performance LeapFrog (SFLA) is applied to reduce the project scheduling problems with resource constraints. The findings prove the robust performance of the new meta-heuristic algorithm.

Nowadays customer satisfaction in the service organizations has been found of considerable importance. In this regard, the most competitive index is the quality improvement of services to the customers in International inspection companies. To identify strengths & weakness points of these organizations for performance improvement, an appropriate system is needed to enable us for obtaining more concessions from the customers. Is this research new conceptual model of attaining more concessions from the customers in EFQM is studied. What in this research will be studied is “the DFD conceptual model is related to which customer based standards & criteria?” that if information transfer of inspection companies is diagramed on the basis of conceptual model, then concessions of points by the customers would be increased which lead to increase the total EFQM points of the companies. After that organizational excellence declaration forms which are filled by the customers would be evaluated by the assessor and desired behavior of organizational excellence would be recognized upon the answers to the questions in the mentioned form. If the questionnaire had been filled documentary, by evaluating answers & their efficient relation, establishing of EFQM conceptual model could be with high extent achievable. Therefore we can conclude that by implementing a DFD conceptual model, points by customers would be increased.

The purpose of this study was to rank the indices of BSC (financial, customer, growth, learning, and internal processes) through using the Fuzzy Hierarchy Process (FAHP) approach in order to reduce the subjective and selective approach of individuals in performance evaluation. The research methodology is applied in terms of its purpose and the researchers have applied a descriptive approach in which the required data has collected by employing the questionnaire and survey. The statistical population of this research includes managers and heads of departments in Yazd Electric Distribution Company. Sampling was done using the purposeful method. The results show that the customer’s criteria and growth and learning have the highest weight among the criteria, respectively. Also, customer satisfaction indices, employee satisfaction, production efficiency and net profit are found significances in prioritizing indices.