نشریه مدیریت راهبردی در سیستم های صنعتی
پیاپی 50 (زمستان 1398)

Selection of suppliers for outsourcing is now one of the most important decisions of the purchasing ‎department. These decisions constitute an important part of the production and logistics ‎management in many firms. On the other hand, suppliers can be evaluated and selected from ‎optimistic and pessimistic perspectives. There is an argument that both points of view must be ‎considered simultaneously, and any approach that considers only one perspective is biased. This ‎paper proposes a new “data envelopment analysis (DEA) with double frontiers” approach for ‎evaluation and selection of suppliers. The DEA with double frontiers approach can identify the best ‎supplier in the presence of weight restrictions, non-discretionary factors, and cardinal and ordinal ‎data. This paper proposes to integrate both efficiencies in the form of a geometric mean efficiency ‎that measures the overall performance of each supplier. It is shown that geometric mean efficiency ‎has more discriminative power than any of the optimistic and pessimistic efficiencies. A numerical ‎example illustrates the application of the proposed method.‎

Nowadays, human looks to tread a path towards optimized using of available resources, Therefore, due to the limitations of capital, time, location, energy, and so on, managers have sought scientific methods from the beginning to make the most of these constraints. one of the most important ways to achieve optimization is evaluating the performance of the Decision Making Units. The gool of this work is to evaluate the energy consumption in the Kohgiluyeh and Boyerahamd province industry considering the industries with 10 and more employees. As in the calculating of the energy efficiency, several outputs and inputs must be considered in form of the productiion function theory, the data envelopment analysis is used to calculate the energy efficiency in the industrial units. Then the results of the energy efficiency, existing barriers and the practical consideration will be explaiend. The results of the efficiency model show that the most important factor of the inefficiency of the province's industry is the large population of job seekers and is the lack of optimal utilization of the workforce in the province's industry.

This research is aimed at modeling the effective factors on the success of electronic communication management with customers in the tose’e ta’avon bank. The present study is a descriptive-survey method in terms of applied purpose and in terms of data collection method. The statistical population of this study is the heads, deputies and employees with the history of branches of the Cooperative Development Bank in Tehran. Finally, 115 questionnaires were compiled. The research questionnaire consisted of 30 specialized questions with a 5-point Likert scale. The validity of the questionnaire has been confirmed by the experts in terms of content validity and the validity of the questionnaire has been done with the model of measurement, convergent validity and divergent validity. Also, Cronbach's alpha coefficient was 0.994 and Cronbach's alpha coefficient and the combined reliability of each dimension was greater than 0.7, which indicates the desirability of the questionnaire. To test the research hypotheses, Minimal Squares technique has been used. After analyzing the data, the results show that customer knowledge management, technology and internal marketing have an impact on customer orientation. On the other hand, customer knowledge management, internal marketing, technology, customer orientation and cost management have an impact on the success of electronic communication management with customers.

In the third millennium, information and knowledge have become the core wealth of organizations , and businesses and manufacturing units are seeking to take advantage of this wealth to make the most of their critical decisions in today ' s dynamic environment . With the use of information and communication technology in all aspects of business , organizational systems and software have shaped the business context and become a new repository for organizational data . One of these tools is effective in the decision making process of any agile business intelligence organization. In this research , after reviewing the literature on the subject and extracting codes, basic themes and structured themes , using the focus group approach with experts and experts , Effective in designing the agile business intelligence model identified , then the final model was developed using fuzzy Victor technique in Information and Communications Technologyholding .

Layout Sections problem, processed how to departmental layout in the work area, considering the required area and the relationship between sectors. The problem of Layout sections as Considered being a key principle to improve factory productivity. We know, inappropriate designs layout of sections, Along with numerous dilemmas and Operating costs of material Displacement systems. There are different ways to Factory Layout Sections, each of the methods has its own features, One cannot say which of them has an absolute superiority to another, Therefore, should by adopting an appropriate approach Obtained the best possible layout from different designs. In this paper, after presenting various layouts with spiral technique and systematic layout planning using software’s Aldep, Micro Craft, Plannet And reviewing Effective Criteria on plan of layouts with a fuzzy approach for qualitative data, And determining the weight of the criteria, the final ranking was done using the PROMETHEE II method and the lab Decision software in a case study. After reviewing the layout plans, Design created with Plannet software, which was in second place in terms of transportation costs, Overall, Taking into account the qualitative criteria of the decision matrix, Ranked first in the final rankings.

The problem of balancing assembly lines is one of the optimization problems that have been studied by many researchers. However, after six decades of research and development, there is a profound gap between academic studies in this area and the practical applications of the assembly line balancing problem in the real industry environment. For this reason, this study aimed to balance the complex assembly lines in order to reduce the cost of manpower and reduce the number of workstations. To solve the problem from the dataset consisting of 7 workstations and 70 tasks and the time to solve 500 seconds and the time of performing each activity including 260 specific activities, two general approaches are used to determine the prerequisite relationships. Gams model software is resolved. Then the problem is solved once again with the modified honeycomb algorithm in MATLAB software and finally solved by the new hybrid honeycomb algorithm with PSO method and finally the obtained values of the objective function of both methods are combined. Have been compared and the results show that the hybrid honeycomb algorithm is optimized at the same early stages of optimization and its objective function value reaches its minimum value and also obtained the least amount of constraint violation and shows cost and cost reductions. Reduces workstations to 3.

Nowadays, industrial design has allocated a special place to itself in the field of products marketing and development, both at national and international levels. Advertising can be a connection bridge between company and customers, the customers are fully identified and the messages of the company are effectively transmitted to them. The purpose of the present research is to present an effective advertising model for companies with an industrial design unit. Therefore, the present research is descriptive-analytical with the Inductive approach and the collection of required data was performed based on the library and document mining study, and also considering the comparative comparison of four domestic industrial design companies with four foreign industrial design companies. Based on this comparison, 82 effective advertising indicators were identified. Using content analysis method, their similar and different aspects were addressed and using MAXQDA software, the difference, similarity, evidences, and foundations of each one of these desired phenomena are explained, and 40 indices with the highest frequency that have not yet been used by Iranian industrial design companies were classified into four categories such as customer relationship, marketing, products and services, and announcements,and a model was designed based on them. Finally, some suggestions based on the research findings were presented.The result is that, for a dynamic and effective advertising, the Iranian industrial design companies require to employ the novel approaches which most of the superior companies utilize to compete and even to proceed in the market. To this end, some suggestions are offered.

Green Supply Chain (GSC) focuses on the sustainable economic development, and the social and natural environment. The increase in environmental concerns of the customers, purchasers, societies and government regulations have made companies take measures regarding green supply chain and green innovation. Green supply chain and green innovation cooperate strategically to develop new green products. The purpose of the present study is to investigate the relationship between green supply chain, green innovation, and green performance. This empirical study examines the relationship between green supply chain, green innovation, and green performance in Gold iran Company. The statistical population of the present study includes the employees in Goldiran Company. Structural Equation Modeling and Confirmatory Factorial Analysis were used to investigate the relationship between the research hypotheses. Research findings show that the green supply chain has significant positive effects on green innovation and green performance. In addition, results show that Gold iran Company should consider green supply chain, green innovation, and green performance to improve their performance and products

Industrial productivity growth has always been influenced by the growth of technology. This claim could be show based on the industrial revolution that began the first time using a steam engine in the production plant. At the moment, the fourth industrial revolution turned into an image, even before it was fully implemented, and many experts and organizations are working hard to implement the revolutionary concept. The concepts of the smart factory, the physical cyber system and the Internet of Things and Services, offer great opportunities, as well as the leading challenges in quality management in the manufacturing sectors. Therefore, in this article, we examine the opportunities and challenges in implementing industry 4.0 for quality management. To this end, attributes of opportunities and quality management challenges were identified in industry 4.0. Then, using the Best Worst Multi criteria decision making method, which is considered as one of the most innovative weighting methods in the Multi criteria decision making literature, was weighted by expert opinions. The results of the study indicated that the attributes of cost reduction and production time, increase in services and customer satisfaction, and increase the skills and competencies respectively, introduced as the most important opportunities and attributes of vertical integration, horizontal integration and experience, and specialists respectively introduced as The main challenges. Finally, based on the research results, practical and research suggestions were presented.

In recent years due to the importance of financial issues, supply chain stakeholders expect that financial issues will also be addressed in the supply chain. Therefore, the purpose of this study was to identify and prioritize the factors affecting the evaluation of financing chain management in Isfahan steel industry. Developmental research was applied and mixed. Using familiar sampling method, 12 experts were identified. In the qualitative part, content analysis Using MAXQDA software was used for coding and identifying the factors. Prioritization of factors in quantitative part of hierarchical analysis was performed using supersession software. The results showed that factors affecting the evaluation of financing chain management include 8 general themes of delivery speed, compliance, supply chain efficiency, senior management support, accountability, information technology, supply chain costs and reliability. That supporting senior executives with a weight of 0.275 is the first priority and reliability with a weight of 0.021 is the last priority. This study is one of the first studies to identify the factors affecting the evaluation of financing chain management in the Esfahan Steel Industry and to assist companies in applying financing chain management.