Development of a Data-Driven Quality Management Model for Creative Industries

Document Type : Article

Authors

1 Ph.D., Department of Industrial Engineering, Faculty of Industrial Engineering, KNTU University of Technology, Tehran, Iran

2 Faculty of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran

10.24200/j65.2025.65333.2414

Abstract

One of the challenges of creative industries can be considered as "quality management". What are the constituent elements of quality in creative industries, what are the characteristics of a high-quality creative product and how can the issue of quality be managed in these industries, among the challenges of creative industries activists is to benefit from new concepts such as Quality4.0, which arose from the concept "Industry 4.0" can help answer these challenges. One of the key elements of Quality4.0 can be considered "data-driven", which can help to solve the challenges of quality management in creative industries like a key, and by developing the concept of "data-driven quality management", provide a new perspective in quality management of creative industries. The upcoming research first forms a conceptual framework by formulating data-driven quality management in the special contingency framework of creative industries, which first describes and clarifies the dimensions of the concept of "quality" in creative industries; And then, based on that, he forms a research model in operations based on the "allocation problem" which provides a computational framework for quality management in creative industries with a computational look at the "quality" problem and in the process of achieving "quality quantification". It implements the model in the cinema industry as one of the important subcategories of creative industries. The model presented with the design and development of two innovative indicators called "quality rating" and "interaction and cooperation rate" for the production factors of a product in creative industries shows that it is possible to combine production factors and equipment with an a priori approach (before the start of creative product production). Optimized the use in the production of a creative product with the aim of maximizing the quality and minimizing the production cost, based on the needs of the owner of a creative product.

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