会议论文详细信息
International Conference on Advances in Manufacturing, Materials and Energy Engineering 2018
Analyzing the need for a comparative study of Shainin DoE and Traditional DoE tools for deploying Six Sigma in Indian manufacturing companies
材料科学;能源学
Khavekar, Rajendra^1 ; Hari, Vasudevan^1
TPO, Dwarakadas J. Sanghvi College of Engineering, Mumbai
56, India^1
关键词: Comparative studies;    Competitive position;    Manufacturing companies;    Manufacturing industries;    Shainin;    Six sigma improvement;    Taguchi DOE;    Variable Search;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/376/1/012121/pdf
DOI  :  10.1088/1757-899X/376/1/012121
学科分类:材料科学(综合)
来源: IOP
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【 摘 要 】

Globalization and cut-throat competition have been pushing manufacturing companies to a corner nowadays, especially in turbulent market places. Therefore, in this context, it has also become important for manufacturing companies to manage their products and processes in the most optimal manner. To enhance quality with reduction in cost, there is a need for employing Design of Experiments (DoE) tools like Taguchi method, Shainin tools and factorial method etc. as part of Six-Sigma efforts in Industries. Quality achieved by means of process optimization is found by many manufacturers to be cost effective in gaining and maintaining a competitive position in world markets. Although, Six-Sigma improvement initiative has emphasized on the use of DoE for experimentation, engineers still consider it a difficult technique to apply and interpret. The complexity of DoE techniques is often seen as the reason why they are unable to employ them in Six-Sigma. Selection of a particular approach to experimentation (i.e. Taguchi, classical or Shainin) is dependent upon a number of criteria: complexity involved, degree of optimization required by the experimenter, time required for completion of the experiment, cost issues associated with the experiment and permitted response time to report back etc. This paper concludes that a thorough study is needed in manufacturing industries to analyze and compare various DoE tools in the effective implementation of Six-Sigma, as it is also necessary to explore the concepts, definition and significance of DoE tools particularly in the application of Shinin DoE tools.

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