Utilization of Six Sigma Technique for Process Improvement in Transformation Manufacturing Industry

Authors

  • Rajeev Ranjan Mishra  P.G. Scholar, RSR Rungta College of Engineering and Technology Rungta Knowledge City, Kohka - Kurud Road, Bhilai, Chhattisgarh, India
  • Dr. Lokesh Singh  Director, RSR Rungta College of Engineering and Technology Rungta Knowledge City, Kohka - Kurud Road, Bhilai, Chhattisgarh, India

Keywords:

VPD, PARETO GRAPH, SQC, CHECKLIST

Abstract

There has been an increasing awareness of the need to improve quality in the manufacturing sector during the previous two decades. My Research Work focuses on the improvement of quality of VPD (vapour phase drying) process in the transformer manufacturing company by the help of SIX SIGMA DMAIC APPROACH. The five stages of DMAIC are define, measure, analyze, improve and control. The goal of my research is to use the six sigma DMAIC approach to estimate and solve issues in the VPD process. Proposals for modifications that can be adopted in the organization to improve the efficiency of the manufacturing process are also offered. The focus of this case study is on the transformer manufacturing industry. Some SQC tools are used to examine the data, such as the Pareto graph, process map, FMEA, cause & effect diagram & checklists. The key faults in the VPD process detected and examined by the help of these SQC technologies. The root cause of the defect will be identified, and recommendations for improvement will be made. After the improvement stage, proposals for quality control should be made. It offers a consistent basis for resolving company problems by ensuring that processes are carried out correctly and successfully.

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Published

2022-06-30

Issue

Section

Research Articles

How to Cite

[1]
Rajeev Ranjan Mishra, Dr. Lokesh Singh, " Utilization of Six Sigma Technique for Process Improvement in Transformation Manufacturing Industry, IInternational Journal of Scientific Research in Mechanical and Materials Engineering(IJSRMME), ISSN : 2456-3307, Volume 6, Issue 3, pp.06-10, May-June-2022.