Study of Time and Value Stream Mapping for Wiring Harness Production

Abstract

Several factors have impacted the manufacturing industry, including global competition, declining profit margins, and customer demands for high-quality products and shorter lead times. These requirements can be met with various quality management and industrial engineering strategies, including ISO 9000, Total Quality Management, Kaizen, Timely Production, Enterprise Resource Planning, Business Process Restructuring, and Lean Management. Lean Six Sigma is a new paradigm in this field of manufacturing strategies. This approach is increasingly being adopted in the manufacturing sector to improve productivity and quality, as well as to strengthen the responsibility considerations. A time and work-study are conducted in the paper to improve the quality and productivity of a manufacturing enterprise. Six Sigma DMAIC (Defined-Measure-Analyze-Improvement-Control) is applied to a manufacturing context that identifies, analyzes, and improves several quality and productivity indicators, optimizes operational variables by quantifying and eliminating sources of variation in the process in question. Provides a framework to, improve and maintain performance. The industrial situation has given a challenging task to analyze and identify the requirement of the industry. The process timing for every process has become a chance to view the errors happening in the industry. The errors are recorded and plotted in the form of graphs and data. With the help of the dataset have viewed the errors and identified the errors of improvement. The identified errors are found and improved to increase the productivity and quality of the system for about 49 % of the existing system.