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Evaluation of Piping Isometric Drawings Using Six Sigma Process

  • Abrar KhulliEmail author
  • Prasad Shirodkar
  • Vijaya Kumar N. Kottur
  • Rajendra Khavekar
Conference paper
  • 23 Downloads
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

Six Sigma is a business strategy that helps organizations to improve its organizational efficiency and customer satisfaction; it decreases operating cost and increases profits. Six Sigma is a widely used method to improve processes from various industrial sectors. The target failure rate for Six Sigma projects is 3.4 parts per million. Numerous practitioner studies claim that Six Sigma improves organizational performance. However, its implementation to design process is limited. So, in this study, we have implemented the Six Sigma philosophy in piping design process. Piping isometric drawings, which feature their intrinsically topological relation rather than just geometrical shape, are important industrial artworks in the field of Computer-Aided Design (CAD). This study suggests that the link between Six Sigma and piping design process performance can be explained and developed by integrating organizational knowledge creation processes. We have quantified the performance of a design process in terms of sigma level and tried to find the possible ways to improve it. The method used in this study is based on five main steps summarized in the acronym (DMAIC): Define Measure, Analyze, Improve and Control. Application of the method on the design process during the five phases of the method will help to reduce costs and losses of man-hours to strive for optimum results in terms of profit and quality.

Keywords

Piping engineering Six sigma Piping isometrics drawing DMAIC philosophy Quality Design Computer-Aided design 

References

  1. 1.
    Narula V, Grover S (2015) Six Sigma: literature review and implications for future research. Int J Ind Eng Prod Res 26(1):13–26Google Scholar
  2. 2.
    Dowaisana TA, Nourelfathb M, Hassan J (2015) Six Sigma performance for non-normal processes. Eur J Oper Res 24(7):968–977Google Scholar
  3. 3.
    Ganguly K (2012) Improvement process for rolling mill through the Dmaic Six Sigma approach. Int J Qual Res UDK- 378.014.3(497.11) short scientific paper (1.03)Google Scholar
  4. 4.
    Subramaniyam P, Srinivasan K, Prabaharan M (2011) An innovative Lean Six Sigma approach for engineering design. Int J Innov Manag Technol 2(2):166–170Google Scholar
  5. 5.
    Sin AB, Zailani S, Iranmanesh M, Ramayah T (2015) Structural equation modelling on knowledge creation in Six Sigma DMAIC project and its impact on organizational performance. Int J Production Econ 168:105–117Google Scholar
  6. 6.
    Toussouf A, Rachid C, Ion V (2014) Contribution to the optimization of strategy of maintenance by Lean Six Sigma. Phys Procedia 55:512–518CrossRefGoogle Scholar
  7. 7.
    Erdogen A, Canatan H (2015) Literature search consisting of the areas of Six Sigma’s usage. Procedia Soc Behav Sci 195:695–704CrossRefGoogle Scholar
  8. 8.
    Nakhai B (2009) The challenges of six sigma in improving service quality.  Int J Qual Reliab Manag 26(7):663–684CrossRefGoogle Scholar
  9. 9.
    Erbiyika H, Saru M (2015) Six Sigma implementations in supply chain. Procedia Soc Behav Sci 195:2556–2565CrossRefGoogle Scholar
  10. 10.
    Gupta N (2013) An application of DMAIC methodology for increasing the yarn quality in textile industry. IOSR J Mech Civil Eng (IOSR-JMCE) 6(1):50–65. e-ISSN: 2278-1684Google Scholar
  11. 11.
    Dabhole S, Raje A, Khandave S, Ghule P, Shinde A (2017) Review on implementation of Six Sigma for controlling defects. Int J Res Appl Sci Eng Technol (IJRASET) 5(11):1874–1879CrossRefGoogle Scholar
  12. 12.
    Dambhare S, Aphale S, Kakade K, Thote T, Borade A (2013) Productivity improvement of a special purpose machine using DMAIC principles: a case study. Int J Innov Manag Technol 2(2):1–13Google Scholar
  13. 13.
    Valles A, Sanchez J, Noriega S, Nuñez BG (2009) Implementation of Six Sigma in a manufacturing process: a case study. Int J Ind Eng 16(3):171–181 Google Scholar
  14. 14.
    Kabir ME, Boby SMMI, Lutfi M (2013) Productivity improvement by using Six-Sigma. Int J Eng Technol 3(12):1056–1086Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Abrar Khulli
    • 1
    Email author
  • Prasad Shirodkar
    • 1
  • Vijaya Kumar N. Kottur
    • 1
  • Rajendra Khavekar
    • 2
  1. 1.Department of Mechanical EngineeringDwarkadas J. Sanghvi College of EngineeringMumbaiIndia
  2. 2.Department of Production EngineeringDwarkadas J. Sanghvi College of EngineeringMumbaiIndia

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