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008 170213s2015 ii | s |||| 0|eng d
020 _a9788132223252
_9978-81-322-2325-2
024 7 _a10.1007/978-81-322-2325-2
_2doi
035 _ato000562300
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aMAT029000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aMuralidharan, K.
_eauthor.
_9470419
245 1 0 _aSix Sigma for Organizational Excellence
_helectronic resource
_bA Statistical Approach /
_cby K. Muralidharan.
260 _aNew Delhi :
_bSpringer India :
_bImprint: Springer,
_c2015.
300 _aXXIV, 622 p. 141 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
505 0 _aChapter 1. Six Sigma Concepts.- Chapter 2. Six Sigma Project Management.-Chapter 3. Six Sigma Process.- Chapter 4. Understanding Variation.- Chapter 5. Sigma Estimation.- Chapter 6. Sample Size Determination.- Chapter 7. Define Phase.- Chapter 8. Measure Phase.- Chapter 9. Analyze Phase -- Chapter 10. Improve Phase.- Chapter 11. Control Phase.- Chapter 12. Sigma Level Estimation.- Chapter 13. Continuous Improvement.- Chapter 14. Six Sigma Marketing.- Chapter 15. Green Six Sigma -- Chapter 16. Six Sigma: Some Pros and Cons -- Chapter 17. Six Sigma: Some case studies.
520 _aThis book discusses the integrated concepts of statistical quality engineering and management tools. It will help readers to understand and apply the concepts of quality through project management and technical analysis, using statistical methods. Prepared in a ready-to-use form, the text will equip practitioners to implement the Six Sigma principles in projects. The concepts discussed are all critically assessed and explained, allowing them to be practically applied in managerial decision-making, and in each chapter, the objectives and connections to the rest of the work are clearly illustrated. To aid in understanding, the book includes a wealth of tables, graphs, descriptions and checklists, as well as charts and plots, worked-out examples and exercises. Perhaps the most unique feature of the book is its approach, using statistical tools, to explain the science behind Six Sigma project management and integrated in engineering concepts. The material on quality engineering and statistical management tools offers valuable support for undergraduate, postgraduate and research students. The book can also serve as a concise guide for Six Sigma professionals, Green Belt, Black Belt and Master Black Belt trainers.
650 0 _aStatistics.
_9124796
650 0 _aProject Management.
_9413689
650 1 4 _aStatistics.
_9124796
650 2 4 _aStatistical Theory and Methods.
_9303276
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
_9410653
650 2 4 _aStatistics for Business/Economics/Mathematical Finance/Insurance.
_9304058
650 2 4 _aProject Management.
_9413689
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
856 4 0 _uhttp://dx.doi.org/10.1007/978-81-322-2325-2
912 _aZDB-2-SMA
999 _c417044