Modeling Organizational Readiness Factors for Smart Statistical Process Control in the Era of Industry 4.0 with Fuzzy Interpretative Structural Modeling

Document Type : Original Article

Authors

1 Professor, Industrial Management Department, Faculty of Management, University of Tehran, Tehran, Iran.

2 PhD Candidate, Industrial Management Department, Faculty of Management, University of Tehran, Tehran, Iran.

3 Master student, Industrial Management Department, Faculty of Management, University of Tehran, Tehran, Iran.

Abstract

One of the characteristics of the fourth industrial revolution is the creation of production intelligence through real-time data to make accurate and timely decisions. Therefore, data-driven statistical process control is expected to significantly contribute to the advancement of intelligent manufacturing. For this reason, statistical process control has become one of the most widely used tools to maintain an acceptable level of quality characteristics in the era of Industry 4.0. In this article, organizational readiness factors for the establishment of intelligent statistical process control in the age of the fourth industrial revolution in the gas industry were investigated. For this purpose, after identifying the control structure of the intelligent statistical process of applying the literature review, 12 factors of organizational readiness in order to achieve this goal were presented in the form of a framework. Then the relationship and sequence of these factors were determined by fuzzy interpretive structural modeling. Next, the obtained model was verified using the structured equation modeling approach. The presented model can be a guide for the gas industry in implementing an intelligent statistical process control system to provide better services and less defects.

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Main Subjects


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  • Receive Date: 24 June 2023
  • Revise Date: 10 October 2023
  • Accept Date: 10 September 2023
  • First Publish Date: 11 October 2023
  • Publish Date: 22 December 2023