Lean Six Sigma

About: Lean Six Sigma is a research topic. Over the lifetime, 1919 publications have been published within this topic receiving 29142 citations.

Lean Six Sigma as an enabler for Healthcare Operational Excellence in COVID-19

Abstract: Purpose: This paper aims to present the results of a qualitative research interview study on the utilisation and importance of Lean Six Sigma methods in the Healthcare sector in COVID-19 and pandemics in general. Design/methodology/approach: a qualitative interview approach was utilised by interviewing leading Lean Six Sigma academics and practitioners who are expert and have experience in Lean Six Sigma. Findings: Lean Six Sigma methods are proven and can be utilised in pandemic situations to improve efficiency and resilience in the healthcare system and readiness for pandemics. Research limitations/implications: One limitation of this research was that most of the interviewees who participated in this study come from Europe. Also, the interviews were short and at a high level. There is an opportunity for further detailed quantitative study and longitudinal case study analysis. Originality: The paper provides an excellent resource to get an insight into the value of applying Lean Six Sigma methods in pandemic situations to aid Healthcare process improvement, operational excellence and enhance public and patient safety.

Quality 4.0 – an evolution of Six Sigma DMAIC

Abstract: Purpose Manufacturing companies can competitively be recognized among the most advanced and influential companies in the world by successfully implementing Quality 4.0. However, its successful implementation poses one of the most relevant challenges to the Industry 4.0. According to recent surveys, 80%–87% of data science projects never make it to production. Regardless of the low deployment success rate, more than 75% of investors are maintaining or increasing their investments in artificial intelligence (AI). To help quality decision-makers improve the current situation, this paper aims to review Process Monitoring for Quality (PMQ), a Quality 4.0 initiative, along with its practical and managerial implications. Furthermore, a real case study is presented to demonstrate its application. Design/methodology/approach The proposed Quality 4.0 initiative improves conventional quality control methods by monitoring a process and detecting defective items in real time. Defect detection is formulated as a binary classification problem. Using the same path of Six Sigma define, measure, analyze, improve, control, Quality 4.0-based innovation is guided by Identify, Acsensorize, Discover, Learn, Predict, Redesign and Relearn (IADLPR2) – an ad hoc seven-step problem-solving approach. Findings The IADLPR2 approach has the ability to identify and solve engineering intractable problems using AI. This is especially intriguing because numerous quality-driven manufacturing decision-makers consistently cite difficulties in developing a business vision for this technology. Practical implications From the proposed method, quality-driven decision-makers will learn how to launch a Quality 4.0 initiative, while quality-driven engineers will learn how to systematically solve intractable problems through AI. Originality/value An anthology of the own projects enables the presentation of a comprehensive Quality 4.0 initiative and reports the approach’s first case study IADLPR2. Each of the steps is used to solve a real General Motors’ case study.

Comprar Lean six sigma for hospitals: simple steps to fast, affordable, and flawless healthcare | J. Arthur | 9780071753258 | MCGRAW HILL

Abstract: Tienda online donde Comprar Lean six sigma for hospitals: simple steps to fast, affordable, and flawless healthcare al precio 39,24 € de J. Arthur, tienda de Libros de Medicina, Libros de Gestion y administracion sanitaria - Administracion y gestion

Quality Quandaries: Cost and Quality in Postal Service

Abstract: This study provides an application of Lean Six Sigma to a postal service. The specific case study is about the reduction of rework cost due to incorrectly routed post at the main postal service provider in The Netherlands.