scholarly journals Implementation of a Design for Six Sigma methodology on the car bumper production process

2021 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Ali Yurdun Orbak
2018 ◽  
Vol 35 (9) ◽  
pp. 1868-1880 ◽  
Author(s):  
Pallavi Sharma ◽  
Suresh Chander Malik ◽  
Anshu Gupta ◽  
P.C. Jha

Purpose The purpose of this paper is to study the anodising process of a portable amplifier production process to identify and eliminate the sources of variations, in order to improve the process productivity. Design/methodology/approach The study employs the define-measure-analyse-improve-control (DMAIC) Six Sigma methodology. Within the DMAIC framework various tools of quality management such as SIPOC analysis, cause and effect diagram, current reality tree, etc., are used in different stages. Findings High rejection rate was found to be the main problem leading to lower productivity of the process. Four types of defects were identified as main cause of rejections in the baseline process. Pareto analysis resulted in detection of the top defects, which were then analysed in details to find the root cause of the problem. Further study resulted in finding improvement measures that were discussed with the management before implementation. The process is sampled again to check the improvements, and control measures were established. Practical implications The study provides a framework for implementation of DMAIC Six Sigma methodology for a manufacturing firm. The results presented are based on the data collected from the shop floor. Results and findings of the study were implemented for quality improvement of the process. Originality/value The study is based on an original research conducted with the objective of quality improvement in the anodising process of the production process. Besides presenting an approach to DMAIC Six Sigma methodology, an application of the current reality tree tool for root cause analysis is presented, a tool used limitedly in the Six Sigma studies. The tool finds its uniqueness in its ability to address problems relating multiple factors than isolated factors.


2012 ◽  
Vol 40 (3) ◽  
pp. 316-326 ◽  
Author(s):  
Su-Gyeong Sung ◽  
Hee-Kweon Yoon ◽  
Sang-Hyug Kwag ◽  
Jai-Hyun Byun

2010 ◽  
Vol 165 ◽  
pp. 274-279 ◽  
Author(s):  
Sebastian Koziołek ◽  
Damian Derlukiewicz ◽  
M. Ptak

According to the strategy of Total Quality Management (TQM) [7] effective quality assurance of mechanical objects is maintained by means of permanent monitoring processes carried out in the cycle of product formation. The quality assessment of processes and the optimization of their crucial elements are the necessary condition for the improvement of efficiency and achievement of high level of customer satisfaction [15]. So far most of the techniques used for the process improvement are adopted to Lean Six Sigma methodology [1, 2, 11, 12, 17]. Achieving the quality on the level of 6 sigma is a primary goal of applying this methodology. Opinions exist that Lean Six Sigma should be implemented in the large number of areas of the life, and its effects (essential improvement in financial results through the reduction of poor quality costs) are hard to overrate. High effectiveness of every single process that is possible to achieve by applying the Lean Six Sigma strategy, became a source of inspiration for the study of Design For Six Sigma (DFSS) [4, 8, 12, 13], with purpose to improve object quality by implementing the innovation in product development.


2007 ◽  
Vol 1 (3) ◽  
pp. 302 ◽  
Author(s):  
Yousef Amer ◽  
Muhammad Azeem Ashraf ◽  
Lee Luong ◽  
Sang Heon Lee ◽  
William Y.C. Wang

Author(s):  
MADHAV KHANDELWAL ◽  
NEHA KHANDELWAL

This paper presents tools of Six Sigma for Telecom Industries; these can achieve powerful operational improvements that produce sustainable business benefits. Six Sigma Qualtec’s dedicated Six Sigma for Telecom practice is specifically designed to help traditional and modern telecommunications providers, become more efficient in their operating procedures. By learning and implementing improvements such as Voice of the Customer (VOC), Six Sigma, Business Process Management Design for Six Sigma and Lean Enterprise principles, those companies will be able to dramatically improve the way they do business thus attracting and keeping customers in this hyper-competitive industry. This paper maps some of the changes in the telecom markets that resulted from competitive entry and gives an insight into the dynamics of competitive markets in relation to quality improvement. Additionally, the presentation seeks to demonstrate that in the quest for the particular competitive outcome via independent and transparent regulation.


Author(s):  
Anshu Gupta ◽  
Pallavi Sharma ◽  
S. C. Malik ◽  
Neha Agarwal ◽  
P. C. Jha

Manufacturing in India is witnessing a wave of growth, which is required to be supported by measures to increase productivity. Improved technology and infrastructure, design and process innovation, skill development, quality improvement and waste minimization are some of the ways that can be adopted to achieve this goal. At the same time demand for higher value at reduced price is also increasing on the consumer front. As a result, manufacturers are increasingly adopting quality improvement techniques to improve productivity and quality, reduce waste and thereby providing higher value at moderate cost. The data driven Six Sigma quality improvement methodology provides a framework to identify, eliminate and control the causes of variation in an operational process. In this paper, we study the chassis preparation process of an amplifier production process and implement the Six Sigma DMAIC model to identify the causes of variation, suggest and implement measures for improvement, and establish control measure to control the process performance post implementation stage. The implementation of the DMAIC methodology improved the process performance and provided measure to maintain dependable quality in the process.


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