scholarly journals Histology Slide Quality Improvement Project Utilizing DMAIC principle of Six Sigma Quality Improvement Methodology

2021 ◽  
Vol 156 (Supplement_1) ◽  
pp. S111-S112
Author(s):  
Y Wang ◽  
A Loboda ◽  
M Chitsaz ◽  
S Ganesan
Keyword(s):  
Quality Improvement ◽  
Six Sigma ◽  
Business Processes ◽  
Endometrial Biopsy ◽  
Improvement Project ◽  
Histology Slide ◽  
Six Sigma Methodology ◽  
And Control

Abstract Introduction/Objective DMAIC (an acronym for Define, Measure, Analyze, Improve and Control) refers to a data- driven improvement cycle used for improving, optimizing, and stabilizing business processes and designs. Our goal was to utilize DMAIC principle of six sigma quality to improve histology slide quality. Methods/Case Report We “defined” the problem as suboptimal quality in endometrial biopsy slides (defects). Utilizing the DMAIC principle and adhering to a strict timeline, the defects found during baseline slide quality review were “measured” by linking the defects to specific histology competencies, which were addressed systematically for process improvement (PI). After PI, a follow up review (“improve” and “control” phases) was carried out to identify measurable outcomes as a testament to quality. Results (if a Case Study enter NA) During the problem “measurement” phase, the defects found in the baseline review of 175 slides were linked to four specific histology competencies (fixation, embedding, cutting, and staining). Processing was excluded as it is completely automated and standardized. Our analysis showed that 83.3 % of defects were linked to embedding (“tissue too dispersed”). As embedding competency depends on the size and nature of the tissue (e.g. mucus and blood admixed with tissue), grossing competency was also addressed along with embedding at the respective workstations. Recommendations were offered to the grosser, embedder, and cutter to reduce variables during the “improvement” phase. Follow up review was done on 196 slides. The number of defective slides decreased and the defects that linked to “tissue too dispersed” had an overall improvement of 91.3%. Once the PI is proven to be effective, in service to histotechnology personnel biannually were also offered during “control” phase. Conclusion We have demonstrated successful methods for improving histology slide quality utilizing DMAIC principle of quality improvement by six sigma methodology DMAIC principle can be creatively adapted in laboratory practice management to enhance quality.

Modern methods of the quality improvement and their application in managing of changes in a company

2018 ◽  
Vol 4 (10) ◽  
pp. 64-72
Author(s):  
Pavol Gejdos
Keyword(s):  
Quality Improvement ◽  
Six Sigma ◽  
Business Processes ◽  
Relevant Information ◽  
Correct Choice ◽  
Sigma Level ◽  
Continuous Quality ◽  
Modern Methods ◽  
Six Sigma Methodology ◽  
A Company

This article deals about the application of the Six Sigma methodology by using modern methods in various stages of the DMAIC improvement model. The change management of business processes in terms of quality is determined by the correct choice of methods and tools for reducing discrepancies and non-productive costs. The evaluation of selected processes of furniture production through defects per million opportunities, efficiency, capability and sigma level before the change and after the change in the quality process provides relevant information for ensuring continuous quality improvement. Implementation of assessing changes in the process is a source of information for continuous improvement of process performance. Keywords: Processes, quality improvement, Six Sigma, DMAIC, changes in processes.

Six Sigma in education

2017 ◽  
Vol 25 (1) ◽  
pp. 91-108 ◽  
Author(s):  
Paul G. LeMahieu ◽  
Lee E. Nordstrum ◽  
Elizabeth A. Cudney
Keyword(s):  
Quality Improvement ◽  
Six Sigma ◽  
Work Processes ◽  
Content Type ◽  
Organizational Work ◽  
School Community Partnership ◽  
The Cost ◽  
And Control ◽  
Six Sigma Approach

Purpose This paper is one of seven in this volume that aims to elaborate different approaches to quality improvement in education. It delineates a methodology called Six Sigma. Design/methodology/approach The paper presents the origins, theoretical foundations, core principles and a case study demonstrating an application of Six Sigma in a school-community partnership in Milwaukee, Wisconsin. Findings The core principles underlying the approach are decreasing variability or unreliability in organizational work processes, eliminate waste or activity that does not add value to desired outcomes, identify defects and decrease their incidence, reduce the cost of work processes, and improve beneficiary/client satisfaction levels. The steps in this statistics-dependent method are design, measure, analyze, improve and control. Originality/value Few theoretical treatments and demonstration cases are currently available on commonly used models of quality improvement that might have potential value in improving education systems internationally. This paper fills this gap by elucidating one promising approach. The paper also derives value as it permits a comparison of the Six Sigma approach with other quality improvement approaches treated in this volume.

Application of Six Sigma to minimize the defects in glass manufacturing industry

2019 ◽  
Vol 16 (4) ◽  
pp. 594-624 ◽  
Author(s):  
Narottam Yadav ◽  
Kaliyan Mathiyazhagan ◽  
Krishna Kumar
Keyword(s):  
Six Sigma ◽  
Manufacturing Industry ◽  
Poor Performance ◽  
Service Industries ◽  
Practical Implementation ◽  
Content Type ◽  
Six Sigma Methodology ◽  
Tools And Techniques ◽  
And Control

PurposeThe purpose of this paper is to improve the yield of a particular model of a car windshield, as the organization faces losses due to poor performance and rejection.Design/methodology/approachThe Six Sigma DMAIC (define, measure, analyze, improve and control) methodology is used to reduce variation and defects in the process. It is a methodology based on data-driven and fact-based analysis to find out the root cause of the problem with the help of statistical analysis. A worst performing model is selected as a case study through the scoping tree. The preprocess, printing, bending and layup process defects are reduced by analyzing the potential causes and hypothesis testing.FindingsThis paper describes Six Sigma methodology in a glass manufacturing industry in India for automotive applications. The overall yield of a car windshield achieved 93.57 percent against the historical yield of 88.4 percent, resulting in saving 50 lacs per annum. Due to no rework or repairing in the glass, low first-time yield causes major losses. Process improvement through focused cross-functional team reduces variation in the process. Six Sigma improves profitability and reduces defects in the automotive glass manufacturing process.Research limitations/implicationsThis case study is applied in automotive glass manufacturing industries. For service and healthcare industries, a similar type of study can be performed. Further research on the common type of processor industry would be valuable.Practical implicationsThe case study can be used as a problem-solving methodology in manufacturing and service industries. The tools and techniques can be used in other manufacturing processes also. This paper is useful for industries, researchers and academics for understanding Six Sigma methodology and its practical implementation.Originality/valueThis case study is an attempt to solve automobile glass manufacturing problems through DMAIC approach. The paper is a real case study showing benefits of Six Sigma implementation in the manufacturing industry and saving an annual cost of 50 lacs due to rejections in the process.

Productivity Improvement in the Chassis Preparation Stage of the Amplifier Production Process: A DMAIC Six Sigma Methodology

2016 ◽  
Vol 23 (06) ◽  
pp. 1640012 ◽  
Author(s):  
Anshu Gupta ◽  
Pallavi Sharma ◽  
S. C. Malik ◽  
Neha Agarwal ◽  
P. C. Jha
Keyword(s):  
Quality Improvement ◽  
Production Process ◽  
Six Sigma ◽  
Control Measure ◽  
Process Performance ◽  
Productivity Improvement ◽  
Six Sigma Methodology ◽  
Moderate Cost ◽  
And Control ◽  
Improved Technology

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.

scholarly journals Control of the variability of the biofuel packaging process through the six sigma methodology: a case study

2020 ◽  
Vol 11 (6) ◽  
pp. 2020
Author(s):  
Walther Azzolini Júnior ◽  
Rafael Francisco Campos Pianno ◽  
Jorge Alberto Achcar
Keyword(s):  
Standard Deviation ◽  
Six Sigma ◽  
Monthly Variation ◽  
Process Variability ◽  
The People ◽  
Quality Program ◽  
Six Sigma Methodology ◽  
And Control ◽  
Dmaic Method

The present work carried out the control of the variability in the biodiesel packaging through the application of the steps of the DMAIC (Define Measure, Analyze, Improve and Control) of the Six Sigma quality program. The DMAIC method brings together a set of statistical and quality tools for the study of process variability. Prior to the project, in the period evaluated between June and October of the year 2017 the average monthly variation of loss was 387.7 liters with a standard deviation of 421.9 liters. After the implementation of the improvements between January and March of the year 2018, the average monthly variation was -3.187 liters with a standard deviation of 60.95 liters. This evolution in the control and reduction of losses in the container of biodiesel was possible through the actions of improvements and involvement of the people of the billing and shipping. After all the improvements implemented, the maintenance and continuity of the controls met two important requirements of the Six Sigma quality program: customer focus and financial impact.

Six-Sigma Challenges in Services With Human-Based Data: An Investigative Case Study for Clients’ Satisfaction in Gas Company

2019 ◽  
Author(s):  
Mohammad Pourgol-Mohamad
Keyword(s):  
Customer Satisfaction ◽  
Six Sigma ◽  
Business Processes ◽  
Industrial Sector ◽  
Human Data ◽  
Industrial Sectors ◽  
Data Limitations ◽  
Six Sigma Methodology ◽  
The Impact

Abstract Improvement of business processes, increasing customer satisfaction, and reducing organizational costs are important issues that institutions deal with. In this context, six sigma methodology has been considered as a systematic approach to achieve these goals by many organizations. In recent years, non-industrial sectors, where human data are involved, have also applied this technique to improve their processes quality. For application of six sigma procedure for non-industrial issues, there are several challenges that are not encountered in the conventional implementation of Six Sigma procedure. Most of these challenges are experienced on gathering the human (operators, experts) expressed data required for the six sigma projects on the phase of measurement and analysis. The challenges identification and analysis give the ability to address them and provide practical solutions. In this study, in addition to different stages of the Six Sigma methodology, its implementation has been investigated in the non-industrial sector in the DMAIC phases. The challenges dealt with in this research include the impact of external factors on human data, limitations in the design of experiments for human data, qualitative data and discrete data as well as one-sided data. Also, considering a case study on the implementation of six sigma methodology to enhance customer satisfaction in an East Azerbaijan Gas company, strategies are presented for overcoming these obstacles.

scholarly journals The use of Lean Six-Sigma tools in the improvement of a manufacturing company – case study

2020 ◽  
Vol 26 (1) ◽  
pp. 30-35
Author(s):  
Tuan-Anh Tran ◽  
Khai Luu-Nhan ◽  
Rajab Ghabour ◽  
Miklos Daroczi
Keyword(s):  
Six Sigma ◽  
Production Method ◽  
Lean Six Sigma ◽  
Skill Levels ◽  
Planning And Control ◽  
Training Activities ◽  
Six Sigma Methodology ◽  
Handicraft Production ◽  
And Control

AbstractHandicraft production is usually chaotic and difficult to monitor, since its products and manufacturing processes are complex. As all the manufacturing steps rely on varied skill levels of the workers, the situation is even more stochastic. There are several common problems, such as inappropriate production method, line unbalance, excessive stock, lack of production planning and control phases, etc. They stem from the lack of suitable operation model, redundant workforce usage, and insufficient internal training activities, which lead to the waste of human resources. In this paper, a roadmap to improve the operational efficiency of handicraft manufacturing is suggested, using Lean-Six Sigma methodology and tools. A case study is conducted in a Vietnamese firm to show the validity of the approach.

scholarly journals Process Optimization by DMAIC Approach in Algerian Industry

2013 ◽  
Vol 7 (2) ◽  
pp. 1074-1083
Author(s):  
Dr.Mechenene Athmane ◽  
Aouag Hichem
Keyword(s):  
Process Optimization ◽  
Six Sigma ◽  
Business Processes ◽  
Long Run ◽  
Quality Costs ◽  
Six Sigma Methodology ◽  
And Control ◽  
Six Sigma Approach

The aim of this paper is to contribute to the improvement of the performance of the functioning of the SCIMAT company. For that purpose, we made a diagnosis of all workshops to identify the possible axes of improvement and to choose the solutions to be implemented.This diagnosis is made by implementation of DMAIC methodology of Six sigma approach at SCIMAT company in Algeria, DMAIC is the five-step approach that makes up the Six Sigma tool kit, and its sole objective is to drive costly variation from manufacturing and business processes. The five steps in DMAIC are Define, Measure, Analyze, Improve, and Control. As the backbone of the Six Sigma methodology, DMAIC delivers sustained defect-free performance and highly competitive quality costs over the long run.

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