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A Six-Sigma Approach for Investment Plans in Process Plants

[+] Author Affiliations
Gabriel Ventura, Fernando Aboites


Paper No. IMECE2005-80422, pp. 265-270; 6 pages
  • ASME 2005 International Mechanical Engineering Congress and Exposition
  • Engineering/Technology Management
  • Orlando, Florida, USA, November 5 – 11, 2005
  • Conference Sponsors: Engineering and Technology Management Group
  • ISBN: 0-7918-4230-4 | eISBN: 0-7918-3769-6
  • Copyright © 2005 by ASME


It is possible to demonstrate that QFD (Quality Function Deployment) within a norm space permits to realize gap analysis and investment plans for a complex process plant, using its process capability (defects per million of opportunities: DPMO) in the last Quality house. The first step is to partition in six “master nodes” the plant: man power, materials, maintenance, machinery, environment and methods. It is important to realize the layout of the plant, to know the customer’s CTQ (Critical to Quality); according with the CTQ the “customer’s How” will be obtained using the six sigma methodology, the layout and process information. For the last quality house the weak form will be changed by the capability metric. The domain is obtained through Taguchi functions (rigorously: a norm space). For the use of the same metric: DPMO, it is possible to compare man power, materials, maintenance, machinery, environment and methods. In these terms get a benchmarking, Pareto’s diagrams, investment plans are feasible. This method was implemented by CIATEQ A. C. in the Mexican Petrochemical plants and some results are included; CIATEQ A. C. (Advanced Technology Center) is a research center in México and is part of the Technological centers in this country.

Copyright © 2005 by ASME



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