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• W3165366104 abstract "Today's competitive environment requires a higher level of quality in processes, services, and products to reach a larger portion of market share and economic success. Quality management being a systematic approach for quality-related evaluation and development is substantial for companies. Industry 4.0 is defined as the integration of physical machinery systems with digital networking. Industry 4.0-related technologies provide extensive opportunities for quality-related issues by incorporating economic, environmental, and social impacts. To encompass all dimensions effective on quality management, it is necessary to process a large amount of data within the context of industry 4.0. Advanced production systems and quality management are complementary resources to enhance the functionality leading to a higher competitive advantage. This article develops a sustainable industry 4.0 production value measurement approach. The quality elements are collected and purified using the concept of lean six sigma and Delphi technique. Among all quality elements, those that are related to leanness and six sigma are extracted. Then, adapted interpretive structural modeling (AISM) is developed to map elements of lean six sigma and sustainability factors and indices. As a quantification method, sustainable production measurement relation is formulated. The process is implemented as a case study in an industrial cluster located in Iran. The results imply new aspects of quality improvement to the managers of the cluster." @default.
• W3165366104 created "2021-06-07" @default.
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• W3165366104 date "2023-06-01" @default.
• W3165366104 modified "2023-10-14" @default.
• W3165366104 title "Integrated Sustainable Production Value Measurement Model Based on Lean and Six Sigma in Industry 4.0 Context" @default.
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• W3165366104 doi "https://doi.org/10.1109/tem.2021.3078169" @default.
• W3165366104 hasPublicationYear "2023" @default.
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