Study of the Predictive Mechanism with Big Data-Driven Lean Manufacturing and Six Sigma Methodology - Advances in Production Management Systems Access content directly
Conference Papers Year : 2021

Study of the Predictive Mechanism with Big Data-Driven Lean Manufacturing and Six Sigma Methodology

Abstract

In order to achieve the sustainable development, the predictive mechanism with big data-driven Lean Manufacturing and Six Sigma methodology is proposed in this paper. The sustainable development for serious competition is often studied, however, the predictive mechanism with big data-driven Lean Manufacturing and Six Sigma methodology is seldom mentioned in publications. This paper reports the predictive mechanism from the perspective of big data-driven Lean Manufacturing. The key techniques including PLC communication, DMAIC roadmap, SPC technique and Hypothesis Testing are utilized to eliminate the waste and obtain continuous improvement. The demonstration of calculator production indicates the predictive mechanism can effectively eliminate the waste and improve the output by 60% with the sufficient capability of Cp > 1.33 and Cpk > 1.
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hal-03806514 , version 1 (07-10-2022)

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Hong Chen, Jiande Wu, Wei Zhang, Qing Guo, Huifeng Lu. Study of the Predictive Mechanism with Big Data-Driven Lean Manufacturing and Six Sigma Methodology. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2021, Nantes, France. pp.662-672, ⟨10.1007/978-3-030-85910-7_70⟩. ⟨hal-03806514⟩
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