Applying Bayesian Network Techniques to Prioritize Lean Six Sigma Efforts

2013 ◽  
Vol 4 (2) ◽  
pp. 1-15 ◽  
Author(s):  
Yanzhen Li ◽  
Rapinder S. Sawhne ◽  
Joseph H. Wilck

In order to retain competitive advantages, many manufacturing organizations have applied Lean Six Sigma techniques to improve production processes. The general approach for implementing Lean Six Sigma is to perform various projects to tackle specific problems or areas. However, with the manufacturing system and its external environment becoming more and more complex, it is simply not possible to solve all the problems given the limited resources. The purpose of this study is to develop a model that provides a systematic evaluation for potential opportunities to enhance the effectiveness of Lean Six Sigma. Deriving from the Bayesian Network methodology, the proposed model combines a graphical approach to represent cause-and-effect relationships between events of interests and probabilistic inference to estimate their likelihoods in the area of process improvement. The developed model can be used for assessing the problems associated with Lean Six Sigma initiatives and prioritizing efforts to solve these problems.

Author(s):  
Yanzhen Li ◽  
Rapinder S. Sawhney ◽  
Joseph H. Wilck IV

In order to retain competitive advantages, many manufacturing organizations have applied Lean Six Sigma techniques to improve production processes. The general approach for implementing Lean Six Sigma is to perform various projects to tackle specific problems or areas. However, with the manufacturing system and its external environment becoming more and more complex, it is simply not possible to solve all the problems given the limited resources. The purpose of this chapter is to develop a model that provides a systematic evaluation for potential opportunities to enhance the effectiveness of Lean Six Sigma. Deriving from the Bayesian Network methodology, the proposed model combines a graphical approach to represent cause-and-effect relationships between events of interests and probabilistic inference to estimate their likelihoods in the area of process improvement. The developed model can be used for assessing the problems associated with Lean Six Sigma initiatives and prioritizing efforts to solve these problems.


2017 ◽  
Vol 1 (2) ◽  
pp. 102-112
Author(s):  
Hesti Budiwati

Commercial banks and Bank Perkreditan Rakyat are two different types of banks whose existence in society aims to raise and channel public funds to improve people's lives. The facts show that there is a sharp competition between the two types of banks in terms of gaining public trust to become bank customer but although these two types of banks are different but still able to develop well in society. This study aims to identify the factors that become competitive advantage at Commercial Banks and Bank Perkreditan Rakyat from the customer's point of view based on customers' perceptions, expectations and interests so banks can determine competitive strategy. The approach used in this research is Lean Six Sigma approach with a sample of 60 respondents consisting of 30 customers of Commercial Banks and 30 customers of Bank Perkreditan Rakyat. Respondents will be asked to respond to research instruments based on their perceptions, expectations and interests. The results of the study there are five competitive advantages in Commercial Banks (1) promotions made, (2) reward appeal, (3) saving security, (4) cleanliness and comfort of the room, (5) friendliness, courtesy and neatness. Bank Perkreditan Rakyat obtained competitive advantage that is (1) cleanliness and comfort of the room,(2) ability and alertness of the officers, (3) friendliness, courtesy and neatness, (4) saving security, (5) familiarity  of the officer with the customer. In addition there are similarities there are interesting differences that is on the excellence of promotional activities and the attractiveness of prizes at Commercial Banks. and the familiarity of officers with customers at Bank Perkreditan Rakyat.


2005 ◽  
Author(s):  
Bahadir Inozu ◽  
M. J. Niccolai ◽  
Clifford A. Whitcomb ◽  
Brian Brian MacClaren ◽  
Ivan Ivan Radovic ◽  
...  

“In 2004, we start an Initiative --Lean Six Sigma Initiative to achieve our Op Ex Goals. We will be conducting a number of on boarding sessions for Six Sigma with senior leaders in DOD, NAVY, and most importantly Defense Contractors. We will require Six Sigma training for direct reports.” John Young, ASN (RDA) The announcement of NAVSEA’s Lean Six Sigma initiative has ushered in a new era in the ways that naval combatants are designed, built, and operated. As the Navy’s budgetary constraints increase in the coming years, the challenges they face in the 21st century will grow. New levels of process performance are mandated. This paper first highlights the opportunities that the Lean Six Sigma roadmap brings to shipbuilding process improvement and then details the efforts to adopt Lean Six Sigma and align it with the continuous improvement initiative at NGSS. Aspects of management strategy, Design for Six Sigma, replicating process improvements as part of integrating Lean Six Sigma with Knowledge Management are discussed.


2020 ◽  
Vol 27 (8) ◽  
pp. 2401-2434
Author(s):  
Shruti J. Raval ◽  
Ravi Kant ◽  
Ravi Shankar

PurposeThe aim of this analysis is to review the Indian manufacturing organizations practicing Lean Six Sigma (LSS) tools/techniques with an objective of monitoring the performance of an organization and to develop recommendation for strategies to benchmark organizational operational efficiency.Design/methodology/approachThis study offers insights of the LSS performance measurement aspects of the Indian manufacturing organizations based on Data envelopment analysis (DEA) approach. The five inputs and two outputs are considered on the basis of literature review and discussed with the practitioners.FindingsIn this analysis, the relative efficiency score of 18 Indian manufacturing organizations has been determined in order to assist evaluation of the impact of monetary investment on the outputs. The present analysis not only investigates the optimum level of input variables but also lays down a significant observation that an organization having higher profit and inventory turnover ratio is not necessarily an efficient organization.Practical implicationsThe results assist to determine the best practice units, potential source of inefficiency and deliver beneficial data for the consistent enhancement of the operational efficiency. The DEA results assist managers and decision makers to derive appropriate strategies to enhance their performance with reference to the efficient organization and to regard it as their role model.Originality/valueThis analysis renders a DEA based framework of LSS practicing Indian manufacturing organizations. The framework is unique in terms of its input-outputs variable selection and measurement procedure.


2020 ◽  
Vol 15 (4) ◽  
pp. 259-268 ◽  
Author(s):  
Christine Noller ◽  
David C. Berry

Context Lean as a quality improvement philosophy is new to athletic training despite widespread use in health care for many years. Objective To introduce the concepts of Lean and Lean Six Sigma and create a primer document for athletic training educators in the classroom. Background Lean requires organizations to exercise effort along with several dimensions simultaneously to improve patient quality and efficiency while controlling costs and reducing waste. When appropriately executed, Lean transforms how an organization and its employees work, creating an avid quest for quality improvement and, ultimately, patient safety. Synthesis Lean is a cultural transformation that changes how an organization operates. It requires new habits, skills, and attitudes throughout the organization, from executives to front-line staff. Lean is a journey, not a destination. The culture of Lean involves the relentless pursuit of continuous quality improvement and is composed of 6 principles and numerous tools. Recommendation(s) Whether athletic trainers approach Lean or Lean Six Sigma in a leadership role, or as a stakeholder in a Kaizen event, all should have a working knowledge of the principles, methods, elements, philosophy, and tools of robust process improvement. Moreover, while no best-practice statement exists about how to incorporate Lean Six Sigma into a curriculum, addressing process improvement early may allow immersive-experience students an opportunity to engage in a process improvement initiative, facilitating a greater appreciation of the content, and offer opportunities to engage professionals from other disciplines. Conclusion(s) Lean is reproducible in sports medicine clinics, orthopedic practices, and outpatient and athletic health care facilities, but only when athletic trainers understand the application. Moreover, for this reason, athletic training programs should strongly consider adding a robust process improvement course/content to their graduate curriculums.


2021 ◽  
Vol 10 (3) ◽  
pp. e001342
Author(s):  
Stijn Schretlen ◽  
Paulien Hoefsmit ◽  
Suzanne Kats ◽  
Geofridus van Merode ◽  
Jos Maessen ◽  
...  

ObjectiveThe COVID-19 pandemic emphasises the need to use healthcare resources efficient and effective to guarantee access to high-quality healthcare in an affordable manner. Surgical cancellations have a negative impact on these. We used the Lean Six Sigma (LSS) methodology to reduce cardiac surgical cancellations in a University Medical Center in the Netherlands, where approximately 20% of cardiac surgeries were being cancelled.MethodA multifunctional project team used the data-driven LSS process improvement methodology and followed the ‘DMAIC’ improvement cycle (Define, Measure, Analyse, Improve, Control). Through all DMAIC phases, real-world data from the hospital information system supported the team during biweekly problem-solving sessions. This quality improvement study used an ‘interrupted time series’ study design. Data were collected between January 2014 and December 2016, covering 20 months prior and 16 months after implementation. Outcomes were number of last-minute coronary artery bypass graft cancellations, number of repeated diagnostics, referral to treatment time and patient satisfaction. Statistical process control charts visualised the change and impact over time. Students two-sample t-test was used to test statistical significance. A p<0.05 was considered as statistically significant.ResultsLast-minute cancellations were reduced by 50% (p=0.010), repeated preoperative diagnostics (X-ray) declined by 67% (p=0.021), referral to treatment time reduced by 35% (p=0.000) and patient Net Promoter Score increased by 14% (p=0.005).ConclusionThis study shows that LSS is an effective quality improvement approach to help healthcare organisations to deliver more safe, timely, effective, efficient, equitable and patient-centred care. Crucial success factors were the use of a structured data-driven problem-solving approach, focus on patient value and process flow, leadership support and engagement of involved healthcare professionals through the entire care pathway. Ongoing monitoring of key performance indicators is helpful in engaging the organisation to maintain continuous process improvement and sustaining long-term impact.


2020 ◽  
Vol 11 (6) ◽  
pp. 1083-1118 ◽  
Author(s):  
Vikas Swarnakar ◽  
Anil Kr Tiwari ◽  
A.R. Singh

Purpose The purpose of this study is to identify, evaluate and develop a structured model to measure the interrelation between critical failure factors (CFFs) that affects the implementation of the sustainable Lean Six Sigma (SLSS) framework in a manufacturing organization. Further solution approaches have been provided that inhibit those CFFs and help in successful implementation of the framework. Design/methodology/approach To find the interrelation among the selected CFFs and develop a systematic structured model, a total interpretive structural modeling (TISM) approach has been used. A 13-level model for selected CFFs has been formed after the application of the TISM approach. Further classification of CFFs has been performed for a better understanding of their nature through MICMAC analysis. Findings A total of 26 SLSS CFFs have been identified through a detailed study of case organization, various literature reviews and experience of panel experts toward developing a systematic model of CFFs. The solution approach has been provided by panel experts based on their industrial experiences after observing the role of CFFs in the developed model. Based on the analysis, it was found that most dependent and dominant CFFs affect the implementation of the SLSS framework in the case organization. Practical implications This study helps SLSS practitioners, project managers, decision-makers and academicians of manufacturing industries to a better understanding of the failure factors and their interrelations while implementing the SLSS framework in manufacturing organizations. This study also guides the systematic solution approach which helps in tackling such problems that occurred in manufacturing organizations. Originality/value In this study, the TISM-based structural model of CFFs for implementing the SLSS framework in manufacturing organizations has been proposed which is a very new effort in the area of a manufacturing environment.


Author(s):  
Sean P. Goffnett ◽  
Lawrence Lepisto ◽  
Randall Hayes

Purpose – The purpose of this paper is to present a framework and a case that delineates the coordinated use of the socio-economic approach to management (SEAM) and Lean Six Sigma (LSS) to facilitate operational change. Design/methodology/approach – This study uses action research and thematic analysis to explore the augmentation of existing process improvement and organizational assessment methodologies in a production environment. Findings – Organizations are under increasing pressure to improve all aspects of business. Project leaders and consultants often follow popular quantitatively oriented protocols like LSS to evaluate explicit operational processes. Including a qualitatively oriented protocol like SEAM expands the project leader’s capability through greater consideration of implicit organizational issues. This paper presents a case where LSS was complemented by SEAM to assess a process that was entangled with several latent organizational dysfunctions. Practical implications – SEAM and LSS are accepted protocols to facilitate process improvement and organizational change. Pairing the two protocols into a SEAM-LSS model offers the strengths of each approach, while compensating for the limitations of each. The result is a more inclusive change protocol that reduces potential oversights and inefficiencies that could occur if project leaders worked within the purview of only one methodology. Originality/value – This paper uses action research to propose a model to bring qualitative and quantitative methodologies together into a larger complementary framework to use when evaluating organizational problems and opportunities. This paper aims to stimulate discussion and research that would lead to more robust process improvement protocols.


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