Forrest W. Iii Breyfogle

Bio: Forrest W. Iii Breyfogle is an academic researcher. The author has contributed to research in topics: Seven Basic Tools of Quality & Control chart. The author has an hindex of 1, co-authored 1 publications receiving 706 citations.

Implementing Six Sigma: Smarter Solutions Using Statistical Methods

Abstract: Partial table of contents: S4 DEPLOYMENT STRATEGY PHASE Six Sigma Overview and Implementation S4 MEASUREMENT PHASE Basic Tools Probability Overview of Distributions and Statistical Processes Basic Control Charts Process Capability and Process Performance S4 ANALYSIS PHASE Visualization of Data Comparison Tests: Continuous Response Bootstrapping Variance Components S4 IMPROVEMENT PHASE Benefiting from Design of Experiments (DOE) Variability Reduction Through DOE and Taguchi Considerations S4 CONTROL PHASE Other Control Charting Alternatives Exponentially Weighted Moving Average (EWMA) and Engineering Process Control (EPC) Control Plan and Other Strategies Pass/Fail Functional Testing Appendices List of Symbols Glossary References Index.

Lean Six Sigma in Healthcare

Abstract: Healthcare, as with any other service operation, requires systematic innovation efforts to remain competitive, cost efficient, and up-to-date. This article outlines a methodology and presents examples to illustrate how principles of Lean Thinking and Six Sigma can be combined to provide an effective framework for producing systematic innovation efforts in healthcare. Controlling healthcare cost increases, improving quality, and providing better healthcare are some of the benefits of this approach.

Implementing the Lean Sigma framework in an Indian SME: a case study

Abstract: Lean and Six Sigma are two widely acknowledged business process improvement strategies available to organisations today for achieving dramatic results in cost, quality and time by focusing on process performance. Lately, Lean and Six Sigma practitioners are integrating the two strategies into a more powerful and effective hybrid, addressing many of the weaknesses and retaining most of the strengths of each strategy. Lean Sigma combines the variability reduction tools and techniques from Six Sigma with the waste and non-value added elimination tools and techniques from Lean Manufacturing, to generate savings to the bottom-line of an organisation. This paper proposes a Lean Sigma framework to reduce the defect occurring in the final product (automobile accessories) manufactured by a die-casting process. The proposed framework integrates Lean tools (current state map, 5S System, and Total Productive Maintenance (TPM)) within Six Sigma DMAIC methodology to enhance the bottom-line results and win customer loyalty. Implementation of the proposed framework shows dramatic improvement in the key metrics (defect per unit (DPU), process capability index, mean and standard deviation of casting density, yield, and overall equipment effectiveness (OEE)) and a substantial financial savings is generated by the organisation.

Supercritical fluid extraction of vegetable matrices: Applications, trends and future perspectives of a convincing green technology

Abstract: Along more than a decade, R&D on supercritical fluid extraction (SFE) of vegetable matrices has been increasingly reported in the literature. Aiming at portraying the current state of this field and its evolution in terms of raw materials, products, modes of operation, optimization, modeling techniques, and closeness to industrial application, a large compilation of almost 600 essays from 2000 to 2013 has been deeply analyzed in order to unveil those indicators and their trends. Furthermore, strengths and weaknesses are identified, and some remarks that may drive upcoming research are provided. Globally, more than 300 species are reported in the literature, with prevalence of the extraction of seeds (28% of works) and leaves (17%). The main families of extracted compounds, cosolvents and operating conditions adopted are critically examined, being possible to conclude that researchers investigate many times working regions far from the optimum due to practical limitations or absence of experimental optimization. Current phenomenological, statistical and semi-empirical approaches are reviewed, along with scale-up studies, and economic analysis. In the whole, the most comprehensive picture over SFE of vegetable matrices is provided in this review, highlighting pertinent aspects and opportunities that may further consolidate the convincing route of this technology for the next years.