Leveraging Lean Six Sigma: Reducing defects and rejections in filter manufacturing industry

At the global level, the service industry represents a critical component for the economy and its growth trend is above of the other sectors. This sector alone is responsible for 63% of the gross domestic product and 45.5% of labor occupation worldwide. Despite its role in modern economies, the sector receives very little attention. In the literature, the authors have found the efforts that have been made to increase the efficiency and productivity of this type of organizations: adapting philosophies, tools, and/or techniques that were born to achieve this goal in the manufacturing industry, such as Lean manufacturing, total quality management, six sigma, lean six sigma, among others. The objective of this study is to perform an exhaustive literature review of the critical success factors reported in diverse studies of the implementation of these tools or philosophies in the service sector, as well as their differences, similarities, and results.

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Lean Six Sigma: a clinical treatment for the recovery of Indian manufacturing sector from the after-effects of coronavirus

World Journal of Science Technology and Sustainable Development ◽

10.1108/wjstsd-03-2020-0025 ◽

2020 ◽

Vol 17 (3) ◽

pp. 311-322 ◽

Cited By ~ 1

Author(s):

Harsimran Singh Sodhi

Keyword(s):

Six Sigma ◽

Manufacturing Industry ◽

Manufacturing Sector ◽

Lean Six Sigma ◽

Clinical Treatment ◽

Content Type ◽

After Effects ◽

The World ◽

Tools And Techniques ◽

The Impact

PurposeManufacturing industry is quite badly hit due to the coronavirus. Manufacturing has been stopped in every country. The present study will provide assistance to the practitioners to recover manufacturing sector from the after-effects of coronavirus.Design/methodology/approachA thorough review of the recent articles published in the newspaper and web has been done to make a viewpoint on the global industrial impact due to epidemic corona. Reports of WHO, IMF, World Bank, RBI and so forth are also reviewed. Further, Lean Six Sigma has been suggested which can be implemented to recover manufacturing industry from the ill effects of corona.FindingsIn present study the problem causd in the manufacturing sector due to corona virus has been identified and a clinical treatment for the same has been proposed by using the tools and techniques of Lean Six Sigma.Originality/valueThe impact of coronavirus has become a huge issue not only for the physical health of human beings but also for the economic health of most of the countries in the world, as it is pushing the world economy toward huge economic depression. Therefore, it becomes the moral responsibility of industrial experts to suggest the tools and techniques to the manufacturing industry for faster recovery.

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Experiencing Lean Six Sigma in the French residential construction

International Journal of Lean Six Sigma ◽

10.1108/ijlss-10-2015-0038 ◽

2016 ◽

Vol 7 (4) ◽

pp. 346-368 ◽

Cited By ~ 4

Author(s):

Zakaria Dakhli ◽

Zoubeir Lafhaj ◽

Antoine Bos

Keyword(s):

Real Estate ◽

Information Flow ◽

Six Sigma ◽

Manufacturing Industry ◽

Lean Six Sigma ◽

Real Estate Development ◽

Content Type ◽

Real Value ◽

Practical Implications ◽

Practical Recommendations

Purpose Compared to the manufacturing industry, Lean Six Sigma (LSS) lacks a clear methodology for its application in the tertiary service. One reason is the difficulties to assess information flow compared to physical flow. Indeed, the use of information flow as a process entry in the LSS method is not well investigated, mainly due to the difficulties in collecting adequate and sufficient data. The purpose of this research study is to investigate the application of LSS in the tertiary service, in particular, real estate development. Design/methodology/approach The paper is based on an action research methodology where LSS methodology is applied to solve client-dissatisfaction issue. One of its main causes is found to be the late delivery time. The work describes how the method was applied. Findings LSS is an adequate approach for making well-thought-out improvement in real estate development. Practical implications The work provides an implementation of LSS in real estate development. It also gives new insights into the LSS application in the tertiary service. The work also suggests practical recommendations and solutions to address the main challenges faced by real estate development. Originality/value Construction is governed by many processes that are difficult to identify and, even more, to assess. LSS helps identifying those which create real value for the client.

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Developing a Hybrid Approach for Lean Six Sigma Project Management: A Case Application in the Reamer Manufacturing Industry

IEEE Transactions on Engineering Management ◽

10.1109/tem.2020.3013695 ◽

2020 ◽

pp. 1-18 ◽

Cited By ~ 2

Author(s):

Srijit Krishnan ◽

K. Mathiyazhagan ◽

V Raja Sreedharan

Keyword(s):

Project Management ◽

Six Sigma ◽

Manufacturing Industry ◽

Hybrid Approach ◽

Lean Six Sigma ◽

Case Application

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Application of Lean Six Sigma framework for improving manufacturing efficiency: a case study in Indian context

International Journal of Productivity and Performance Management ◽

10.1108/ijppm-05-2020-0223 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Astha Sharma ◽

Neeraj Bhanot ◽

Ajay Gupta ◽

Rajeev Trehan

Keyword(s):

Simulation Model ◽

Six Sigma ◽

Production Line ◽

Manufacturing Industry ◽

Lean Six Sigma ◽

Expected Improvement ◽

Batch Size ◽

Value Stream Mapping ◽

Content Type ◽

Value Stream

PurposeThis study aims to utilize DMAIC methodology along with value stream mapping and other Lean Six Sigma tools in a major automobile light manufacturing industry to reduce defect rates and increase production capacity in their manufacturing line. The study also proposes a modified framework based on lean principles and FlexSim to identify and reduce waste in the selected industry.Design/methodology/approachA Lean Six Sigma modified framework has been deployed with DMAIC to reduce the defect rate and increase the production rate. Various tools like value stream mapping, brainstorming, Pareto charts, 5S, kanban, etc. have been used at different phases of DMAIC targeting wastes and inventory in the production line. Also, a simulation model has been utilized for the automobile light manufacturing industry to improve the machine utilization time with varying batch sizes.FindingsThe results of the study indicated a 53% reduction in defect rates. Thus, there would be an expected improvement in sigma value from 3.78 to 3.89 and a reduction in defects per million opportunities (DPMO) from 11,244 to 8,493. Additionally, simulation model using FlexSim was developed, and the optimum ordering batch size of raw material was obtained. It was also analyzed that idle time for various stations could be reduced by up to 30%.Practical implicationsThe utilized framework helps identify defects for managers to increase production efficiency. The workers, operators and supervisors on the production line also need to be trained regularly for identifying the areas of improvement.Originality/valueThe modified Lean Six Sigma framework used in this study includes FlexSim simulation to make the framework robust, which has not been used with LSS tools in the literature studied. Also, the LSS finds very less application in the manufacturing domain, considering which this study tends to add value in existing literature taking a case of an automobile light manufacturing industry.

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