جستجوی مقالات مرتبط با کلیدواژه « Fuzzy Best-Worst » در نشریات گروه « مدیریت »

Today, productivity is one of the most important factors in economic growth. At the organizational level, a high level of productivity indicates optimal performance to gain a competitive advantage. Despite the important role of productivity of service organizations in economic growth, few studies have been conducted in this context. The purpose of this study is to evaluate service productivity by a combined fuzzy best-worst method and data envelopment analysis.
In the first stage, carrying out a comprehensive review of the research literature, indicators of service productivity evaluation were identified. Then, the evaluation indicators were weighed using the fuzzy best-worst method. After weighing the indicators and determining the importance of each of them, using the data envelopment analysis approach, the efficiency, effectiveness, and productivity of Mazandaran Electricity Distribution Company were evaluated for five consecutive years from 2016 to 2020.
In this study, efficiency, effectiveness, and productivity were simultaneously evaluated using quantitative and qualitative indicators affecting the evaluation of the productivity of electricity distribution companies.
The obtained results would help to assess service productivity by emphasizing both quantitative and qualitative aspects of services and paying attention to the dimensions of efficiency and effectiveness simultaneously. Productivity improvement strategies were also suggested based on the achieved results of the current study.

Operational strategy is one of the essential tools for operations management in the current competitive environment. The operational strategy focuses on the activities of the operational levels in line with the competitive priorities of the organization. Hence, the present study tries to review and design the most appropriate operational strategies for increasing the efficiency of the Automotive manufacturing industry. However, given that the supply chain of this industry is dependent on the changing and unpredictable environment of the market and environment such as raw materials, suppliers' conditions, government policies and sanctions, and the price fluctuations caused by currency volatility, so the need for operational strategies is felt. Therefore, after determining the annual goals for each output, continuous flow production system was identified as the appropriate system for achieving the desired situation in the studied company. At last, adjustments were provided to improve the company's status in each of the production levers. Output Prioritization and development of the Miltenburg model with the Fuzzy Best-Worst Method took place for the first time According to the experts' opinion, which cost criterion identified as the most important output and the Quality criterion placed at the second level of important; and also Flexibility, performance and delivery criteria placed at the next level of important.