The Optimal Policy for the Evolution of Total Quality Management for Improving Environmental Indicators Using Fuzzy System Dynamics

Document Type : Research Article

Authors

• Ardalan Feili
• Mohsen Dashtipour

Department of Management, Apadana Higher Educational Institute, Shiraz, Iran.

10.22067/jstinp.2022.78551.1020

Abstract

Nowadays, global competition has penetrated all parts of the world and all businesses. One challenge facing industries is balancing economic and social progress with environmental protection. While industries have understood the importance of sustainable development, they may not know how to operationalize the concept. Industries need to incorporate environmental aspects into the production process and product design to avoid exploitation of unsustainable and adverse environmental impacts. The result of such conditions is the ever-increasing and endless increase in customer expectations. In recent years, the green economy has been proposed as an emerging concept with the aim of sustainable development. The company’s sustainability is achieved at the intersection of economic growth, environmental protection, and social responsibility. The current research is applied from the objective point of view and descriptive from the method point of view. The subject of this research is a production organization in the field of the automobile industry in Shiraz. The research method based on the system dynamics approach was considered because by using this method, different policies can be designed, and the results of each policy can be evaluated. The results show a strong relationship between total quality management and environmentally friendly production systems. According to the results of offensive manufacturing industries, TQM, directly and indirectly, affects environmental sustainability. Based on the research findings, it can be said that the overall effect of efforts to improve the soft factors of comprehensive quality management is more significant in enhancing environmental indicators.

Keywords

• Environmental indicators
• prevention of air pollution
• reduction of energy consumption
• Fuzzy system dynamics

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