Design for Six Sigma: The First 10 Years

Author(s):  
Martha Gardner ◽  
Gene Wiggs

Six Sigma was launched at GE in 1995 by Jack Welch as a systematic way of improving the quality of delivered products and reducing cost across the entire Corporation. Soon after the first wave of Master Black Belts returned from their initial training, it was obvious that GE needed a “version” of Six Sigma adapted by a Design Engineering community that was focused on achieving specific goals of improved product performance, reliability and producibility while achieving a simultaneous reduction in the design cycle time for new products. The purpose of this paper is to share our lessons learned in adapting Six Sigma to the needs of the Design Engineering Community.

2020 ◽  
Vol 51 (1) ◽  
pp. 75-82
Author(s):  
Siddharth Banerjee ◽  
Edward J. Jaselskis ◽  
Abdullah F. Alsharef

Project personnel working in construction sites fail to transfer invaluable experiences gained mostly due to the absence of a formalized process to record such information. Construction projects are seldom repetitive in nature and this highlights the need for organizations to have in place robust data repositories to facilitate knowledge sharing. This paper describes an effort in creating a new internal-only web-based lessons learned database named Communicate Lessons, Exchange Advice, Record (CLEAR) for the North Carolina Department of Transportation (NCDOT). A Design For Six Sigma (DFSS) approach of Identify, Define, Develop, Optimize, and Verify (IDDOV) model was used. Findings from this study will help NCDOT to institutionalize knowledge and improve project cost variations and schedule predictability. In conjunction with this database, a data dashboard is envisioned to provide effective visualizations for the upper management to make informed decisions based on the lessons information in the database. The dashboard will include success metrics such as detecting reduced numbers of claims and claims amounts, witnessing periodical increase in lessons uploaded into the database, and enhanced communication among specialized staff. This approach is a significant contribution to the existing body of knowledge in lessons learned database implementation for construction applications. The anticipated outcome of this new application will be a more efficient and effective public organization through reduced claims, improved designs, and construction workflows, and improved policies and standards. Future researchers can make use of information presented in this paper to build new robust lessons learned systems to improve organizational efficiency.


Author(s):  
Santhosh K. Kompally ◽  
Vinay Ramanath ◽  
Karthikeyan Jeevanandan ◽  
Manoj Kunnil

In general, thermal generators have a combination of composites and metals in different assemblies. It is important to note that the material properties and interface stiffnesses change during the assembly process. Added to this change, the complex geometry and assembly procedures result in huge variation in material characterizations. These variabilities triggered a requirement of a unique process for material characterization at both component and assembly levels. This paper covers the details of a 6-stage DFSS methodology, which involves filling the above-stated gaps by performing mechanical tests at component and sub-assembly levels, followed by series of finite element correlations at various stages of design cycle. This paper emphasizes a DFSS-based probabilistic approach, developed with a built-in validation for evaluating finite element variables to match with assembly tests. This paper also discusses the success of this DFSS-based process in bench marking with two test cases.


Author(s):  
Siddharth Banerjee ◽  
Edward J. Jaselskis ◽  
Abdullah F. Alsharef ◽  
Clare E. Fullerton ◽  
Alyson W. Tamer

2017 ◽  
Vol 2 (1) ◽  
pp. 328-336
Author(s):  
Sergiu Stefan Nicolaescu ◽  
Claudiu Vasile Kifor

Abstract Quality techniques and Design for Six Sigma methodology are complex areas that need to be understood through correlation of theoretical and practical teaching. Universities started to apply different approaches for achieving better results, on building greater knowledge and skills for their students. The paper presents a methodology of teaching quality techniques and DFSS methodology, an approach that is focused on understanding the concepts through technical examples from industry and applying the knowledge within a project. A model is proposed for teaching Design for Six Sigma methodology through a workshop done in the classroom. The students are split into groups and will practically work through the main elements of DFSS methodology, for improving the quality of a chosen product by re-designing it. The objective of research is to analyze the performance of this methodology and to identify the strong points. The measurement is done through feedbacks received from students, that is presented at the end of the paper. The methodologies used during research consist of bibliographic research, observational study on classroom, questionnaire and interview technique.


2003 ◽  
Vol 42 (02) ◽  
pp. 185-189 ◽  
Author(s):  
R. Haux ◽  
C. Kulikowski ◽  
A. Bohne ◽  
R. Brandner ◽  
B. Brigl ◽  
...  

Summary Objectives: The Yearbook of Medical Informatics is published annually by the International Medical Informatics Association (IMIA) and contains a selection of excellent papers on medical informatics research which have been recently published (www.yearbook.uni-hd.de). The 2003 Yearbook of Medical Informatics took as its theme the role of medical informatics for the quality of health care. In this paper, we will discuss challenges for health care, and the lessons learned from editing IMIA Yearbook 2003. Results and Conclusions: Modern information processing methodology and information and communication technology have strongly influenced our societies and health care. As a consequence of this, medical informatics as a discipline has taken a leading role in the further development of health care. This involves developing information systems that enhance opportunities for global access to health services and medical knowledge. Informatics methodology and technology will facilitate high quality of care in aging societies, and will decrease the possibilities of health care errors. It will also enable the dissemination of the latest medical and health information on the web to consumers and health care providers alike. The selected papers of the IMIA Yearbook 2003 present clear examples and future challenges, and they highlight how various sub-disciplines of medical informatics can contribute to this.


2021 ◽  
Vol 217 (2) ◽  
Author(s):  
Alexander G. Hayes ◽  
P. Corlies ◽  
C. Tate ◽  
M. Barrington ◽  
J. F. Bell ◽  
...  

AbstractThe NASA Perseverance rover Mast Camera Zoom (Mastcam-Z) system is a pair of zoomable, focusable, multi-spectral, and color charge-coupled device (CCD) cameras mounted on top of a 1.7 m Remote Sensing Mast, along with associated electronics and two calibration targets. The cameras contain identical optical assemblies that can range in focal length from 26 mm ($25.5^{\circ }\, \times 19.1^{\circ }\ \mathrm{FOV}$ 25.5 ∘ × 19.1 ∘ FOV ) to 110 mm ($6.2^{\circ } \, \times 4.2^{\circ }\ \mathrm{FOV}$ 6.2 ∘ × 4.2 ∘ FOV ) and will acquire data at pixel scales of 148-540 μm at a range of 2 m and 7.4-27 cm at 1 km. The cameras are mounted on the rover’s mast with a stereo baseline of $24.3\pm 0.1$ 24.3 ± 0.1  cm and a toe-in angle of $1.17\pm 0.03^{\circ }$ 1.17 ± 0.03 ∘ (per camera). Each camera uses a Kodak KAI-2020 CCD with $1600\times 1200$ 1600 × 1200 active pixels and an 8 position filter wheel that contains an IR-cutoff filter for color imaging through the detectors’ Bayer-pattern filters, a neutral density (ND) solar filter for imaging the sun, and 6 narrow-band geology filters (16 total filters). An associated Digital Electronics Assembly provides command data interfaces to the rover, 11-to-8 bit companding, and JPEG compression capabilities. Herein, we describe pre-flight calibration of the Mastcam-Z instrument and characterize its radiometric and geometric behavior. Between April 26$^{th}$ t h and May 9$^{th}$ t h , 2019, ∼45,000 images were acquired during stand-alone calibration at Malin Space Science Systems (MSSS) in San Diego, CA. Additional data were acquired during Assembly Test and Launch Operations (ATLO) at the Jet Propulsion Laboratory and Kennedy Space Center. Results of the radiometric calibration validate a 5% absolute radiometric accuracy when using camera state parameters investigated during testing. When observing using camera state parameters not interrogated during calibration (e.g., non-canonical zoom positions), we conservatively estimate the absolute uncertainty to be $<10\%$ < 10 % . Image quality, measured via the amplitude of the Modulation Transfer Function (MTF) at Nyquist sampling (0.35 line pairs per pixel), shows $\mathrm{MTF}_{\mathit{Nyquist}}=0.26-0.50$ MTF Nyquist = 0.26 − 0.50 across all zoom, focus, and filter positions, exceeding the $>0.2$ > 0.2 design requirement. We discuss lessons learned from calibration and suggest tactical strategies that will optimize the quality of science data acquired during operation at Mars. While most results matched expectations, some surprises were discovered, such as a strong wavelength and temperature dependence on the radiometric coefficients and a scene-dependent dynamic component to the zero-exposure bias frames. Calibration results and derived accuracies were validated using a Geoboard target consisting of well-characterized geologic samples.


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