Six Sigma Concepts
K. Muralidharan ()
Additional contact information
K. Muralidharan: M. S. University of Baroda, Department of Statistics, Faculty of Science
Chapter Chapter 1 in Six Sigma for Organizational Excellence, 2015, pp 1-18 from Springer
Abstract:
Abstract Six Sigma is a disciplined problem-solving method involving people management and stakeholder participation. The approach relies heavily on advanced statistical methods that complement the process and product knowledge to reduce variation in processes. Six Sigma as a quality improvement tool advocates the practice of measuring variability of a process, which may then be controlled by continuous improvement. We have critically examined various quality perceptions and definitions. The ultimate objective of Six Sigma philosophy is to deliver the expected customer satisfaction in a given time frame without harming the organizational environment. Many implementation tools including DMAIC, DMADV, DFSS, and kaizen are discussed in details. Apart from the above tools, some of the tools used in DMADV that are not covered in DMAIC are as follows: multi-generational project plans (MGPP), analytical hierarchy process (AHP), Kano analysis, KANSEI Engineering, TRIZ, Pugh analysis, Taguchi optimization, Capability Maturity Model Integration (CMMI), value stream mapping (VSM), and simulation methods. The chapter is organized as per the tasks and deliverables of Six Sigma. A brief discussion about the belt systems is also presented in this chapter.
Keywords: Defect; Variation; Critical to quality; Process capability; DPU; DPMO; Yield; Tolerance level; Specification limit; Lean manufacturing; Waste elimination; RCA; FMEA; DOE; ANOVA; Capability studies (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-81-322-2325-2_1
Ordering information: This item can be ordered from
http://www.springer.com/9788132223252
DOI: 10.1007/978-81-322-2325-2_1
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().