Designing a Model for Monitoring the Productivity of the Automotive Industry

The purpose of this article is to design a model for monitoring the productivity of Iran's automotive industry. The research population of this research includes 11 managers and strategists of industrial companies in the field of research subject (automotive industry). In this article, an attempt has been made to identify the most effective indicators affecting the productivity of the automotive industry, and by using an interpretive structural approach, the importance of each in comparison with each other is determined and finally a model for continuous monitoring of their productivity is presented. The validity and reliability of the questionnaire were confirmed through content and Holstie validity. To identify the indicators affecting the productivity of the automotive industry and to provide a practical model to achieve the desired level of it, two companies Saipa and Iran Khodro have been studied and as a result, using studies related to the productivity of those companies and using Opinions of experts working in it, sixteen indicators to increase production productivity in five dimensions were identified and reviewed. The relationships between these indicators have been determined based on an interpretive structural model and a new model has been systematically formulated and presented. The result of the article indicates the significant importance of obtaining certificates and standards related to the introduced industry and their periodic monitoring.