Lean Six Sigma Rapid Cycle Improvement Agenda
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
CONTINUOUS IMPROVEMENT CONSULTING 2 First Choice Pocket Guide First Choice Pocket Guide 3
DHL FIRST CHOICE CONTINUOUS IMPROVEMENT CONSULTING 2 First Choice Pocket Guide First Choice Pocket Guide 3 CONTENTS Introduction 4 Methodologies 6 ACT 8 DMAIC 10 Lean 12 Tools 14 5S Methodology 16 5 Why 18 DILO (Day In Life Of) 20 Effort-Benefit-Matrix 22 Spaghetti Diagram 24 More information 27 To simplify the understanding of each tool a standard structure has been used for all tool deep-dives: Goals/Benefit: reasons for applying the tool / what’s in it for me When: recommendation of when tool can be applied Steps: guide on how to apply tool 4 First Choice Pocket Guide First Choice Pocket Guide 5 INTRODUCTION DHL First Choice is a DHL’s worldwide program to drive continuous improvement of processes and services. ‘Everybody, Every Day and Everywhere a little bit Better’ has enabled us to become and remain the first choice of our customers. This passion for continuous improvement is part of our DNA and is anchored in our corporate culture. It has allowed us to be a global market leader in logistics for many years now. We are happy to share our expertise and experience with you; now you too can experience what the First Choice approach can do for your company and your customers. We have already guided many customers in this process. Goal of DHL First Choice The goal is to create greater efficiency in your services and optimize your processes, with the help of our DHL First Choice experts. Improvements that increase your business performance and strengthen trust in your company. It will also positively impact your customer’s experience with your brand. -
Implementing SPC for Non-Normal Processes with the I-MR Chart: a Case Study
Implementing SPC for non-normal processes with the I-MR chart: A case study Axl Elisson Master of Science Thesis TPRMM 2017 KTH Industrial Engineering and Management Production Engineering and Management SE-100 44 STOCKHOLM Acknowledgements This master thesis was performed at the brake manufacturer Haldex as my master of science degree project in Industrial Engineering and Management at the Royal Institute of Technology (KTH) in Stockholm, Sweden. It was conducted during the spring semester of 2017. I would first like to thank my supervisor at Haldex, Roman Berg, and Annika Carlius for their daily support and guidance which made this project possible. I would also like to thank the quality department, production engineers and operators at Haldex for all insight in different subjects. Finally, I would like to thank my supervisor at KTH, Jerzy Mikler, for his support during my thesis. All of your combined expertise have been very valuable. Stockholm, July 2017 Axl Elisson Abstract The application of statistical process control (SPC) requires normal distributed data that is in statistical control in order to determine valid process capability indices and to set control limits that reflects the process’ true variation. This study examines a case of several non-normal processes and evaluates methods to estimate the process capability and set control limits that is in relation to the processes’ distributions. Box-Cox transformation, Johnson transformation, Clements method and process performance indices were compared to estimate the process capability and the Anderson-Darling goodness-of-fit test was used to identify process distribution. Control limits were compared using Clements method, the sample standard deviation and from machine tool variation. -
Extension of the Lean 5S Methodology to 6S with an Additional Layer to Ensure Occupational Safety and Health Levels
sustainability Article Extension of the Lean 5S Methodology to 6S with An Additional Layer to Ensure Occupational Safety and Health Levels Mariano Jiménez 1,2 , Luis Romero 2,* , Jon Fernández 2, María del Mar Espinosa 2 and Manuel Domínguez 2 1 Department of Mechanical Engineering, Technical School of Engineering—ICAI, Comillas Pontifical University, 25, 28015 Madrid, Spain 2 Design Engineering Area, Industrial Engineering School, National Distance Education University (UNED), 38, 28015 Madrid, Spain * Correspondence: [email protected] Received: 12 June 2019; Accepted: 11 July 2019; Published: 12 July 2019 Abstract: This paper proposes an expansion of the Lean 5S methodology, which includes the concept of Safety–Security as 6S. Implementation was done by a standardized process tested in a pilot area that is part of the Integrated Industrial Manufacturing System Laboratory at the Higher Technical School of Engineering (ICAI). The additional 6S phase (Safety-Security) thoroughly reviews all areas of an industrial plant by analyzing the risks at each workstation, which let employees be fitted out with protection resources depending on each of their personal characteristics and to guarantee the safety of the workstation by strictly complying with occupational safety and health and machinery use standards, which must hold a CE certificate of compliance. The main objective was to increase the scope of 5S methodology to respond to the occupational safety and health needs for machines required in optimizing production processes. It is important to remember that companies must guarantee that their employees use personal protection equipment (PPE) at their work posts or stations that protect them properly from risks to their health and safety and that cannot be prevented or sufficiently limited by using collective means of protection or by adopting work organization measures. -
Improving Performance of Epidemic Healthcare Management During COVID-19 Outbreak Using LSS DMAIC Approach: a Case Study for Bangladesh Aquib Irteza Reshad, Md
Proceedings of the 5th NA International Conference on Industrial Engineering and Operations Management, Detroit, Michigan, USA, August 10 - 14, 2020 Improving Performance of Epidemic Healthcare Management during COVID-19 Outbreak using LSS DMAIC Approach: A Case Study for Bangladesh Aquib Irteza Reshad, Md. Mozibur Rahman and Naquib Mahmud Chowdhury Department of Industrial and Production Engineering Bangladesh University of Engineering and Technology(BUET) Dhaka-1000 [email protected], [email protected], [email protected] Abstract The recent outbreak of coronavirus (COVID-19) pandemic has exposed the weakness of the existing healthcare facilities in developing countries like Bangladesh. The increasing amount of patients has made this condition more vulnerable. There is a high possibility that, these increasing amount of symptomatic patients might create a shortage in RT-PCR test kits in upcoming days. The objective of this study is to use Define, Measure, Analyze, Improve, and Control (DMAIC) in improving the epidemic healthcare management system during the COVID-19 outbreak in Bangladesh. The goal of this study is to use LSS methodology, especially the DMAIC improvement format in the existing dedicated healthcare management system for coronavirus treatment. The root cause analysis behind the higher response time and improper service for the Institute of Epidemiology, Disease Control and Research (IEDCR), and other dedicated healthcare providers regarding, coronavirus treatment in the current situation has been performed. FMEA (Failure Mode and Effect Analysis) was conducted in order to assess the potential failure modes in the existing healthcare management system. A simulation study regarding the implementation of pooled testing in Bangladesh for improving efficiency and optimizing the usage of RT-PCR test kits has also been carried out. -
A DMAIC Framework for Improving Software Quality in Organizations: Case Study at RK Company Team Composition
MCGILL UNIVERSITY Montreal, Quebec September 20 – 21, 2016 A DMAIC Framework for Improving Software Quality in Organizations: Case Study at RK Company Team Composition • Racha Karout • Anjali Awasthi Outline 1. Introduction 1.1 Background 1.2 Problem Definition 1.3 Research Objectives 2. Literature Review 3. Solution Approach 4. Conclusions and Future Works 1.1 Background • To compete in today‘s world, every business needs to improve. • Software has increasingly become a critical component in many industries (telecoms, banking, insurance, … etc.). • Software quality is crucial and poor quality is not acceptable. • Software development has not been consistently successful. What is Software Quality? • Software quality is the degree to which a system, component or process meets specified requirements, in other words, the degree to which a system, component or process meets customer or user needs or expectation (IEEE, 1991). • The software should not have bugs that reduce the quality attributes (functionality, reliability, usability and maintainability) (Chang et al., 2006). • There should not be issues that affect its ability to maintain or re-establish its level of performance. • Easy to use and maintain. 1.2 Problem Definition • In today’s market competition and the need for rapid delivery, software quality is often sacrificed, leading to the failure of the software project • The use of traditional methodology (waterfall) with the current market pace, continuous change of customer requirements and rapid development of technology plays a major role in poor software quality. • People jump to solutions without fully understanding the problem or finding the root cause of poor quality. 1.3 Research Objectives 1. -
Statistical Process Control for Monitoring Nonlinear Profiles: a Six Sigma Project on Curing Process
This is the author’s final, peer-reviewed manuscript as accepted for publication. The publisher-formatted version may be available through the publisher’s web site or your institution’s library. Statistical process control for monitoring nonlinear profiles: a six sigma project on curing process Shing I. Chang, Tzong-Ru Tsai, Dennis K. J. Lin, Shih-Hsiung Chou, & Yu-Siang Lin How to cite this manuscript If you make reference to this version of the manuscript, use the following information: Chang, S. I., Tsai, T., Lin, D. K. J., Chou, S., & Lin, Y. (2012). Statistical process control for monitoring nonlinear profiles: A six sigma project on curing process. Retrieved from http://krex.ksu.edu Published Version Information Citation: Chang, S. I., Tsai, T., Lin, D. K. J., Chou, S., & Lin, Y. (2012). Statistical process control for monitoring nonlinear profiles: A six sigma project on curing process. Quality Engineering, 24(2), 251-263. Copyright: Copyright © Taylor & Francis Group, LLC. Digital Object Identifier (DOI): doi:10.1080/08982112.2012.641149 Publisher’s Link: http://www.tandfonline.com/doi/abs/10.1080/08982112.2012.641149 This item was retrieved from the K-State Research Exchange (K-REx), the institutional repository of Kansas State University. K-REx is available at http://krex.ksu.edu Statistical Process Control for Monitoring Nonlinear Profiles: A Six Sigma Project on Curing Process Shing I Chang1, Tzong‐Ru Tsai2, Dennis K.J. Lin3, Shih‐Hsiung Chou1 & Yu‐Siang Lin4 1Quality Engineering Laboratory, Department of Industrial and Manufacturing Systems Engineering, Kansas State University, USA 2Department of Statistics, Tamkang University, Danshui District, New Taipei City 25137 Taiwan 3Department of Statistics, Pennsylvania State University, USA 4Department of Industrial Management, National Taiwan University of Science and Technology, Taipei, Taiwan ABSTRACT Curing duration and target temperature are the most critical process parameters for high- pressure hose products. -
Quality Control
Topic Gateway Series Quality control Quality Control Topic Gateway Series No. 37 1 Prepared by Bill Haskins and Technical Information Service July 2007 Topic Gateway Series Quality control About Topic Gateways Topic Gateways are intended as a refresher or introduction to topics of interest to CIMA members. They include a basic definition, a brief overview and a fuller explanation of practical application. Finally they signpost some further resources for detailed understanding and research. Topic Gateways are available electronically to CIMA members only in the CPD Centre on the CIMA website, along with a number of electronic resources. About the Technical Information Service CIMA supports its members and students with its Technical Information Service (TIS) for their work and CPD needs. Our information specialists and accounting specialists work closely together to identify or create authoritative resources to help members resolve their work related information needs. Additionally, our accounting specialists can help CIMA members and students with the interpretation of guidance on financial reporting, financial management and performance management, as defined in the CIMA Official Terminology 2005 edition. CIMA members and students should sign into My CIMA to access these services and resources. The Chartered Institute of Management Accountants 26 Chapter Street London SW1P 4NP United Kingdom T. +44 (0)20 8849 2259 F. +44 (0)20 8849 2468 E. [email protected] www.cimaglobal.com 2 Topic Gateway Series Quality control Definition Definitions -
Modular Kaizen: Dealing with Disruptions Is a Publication of the Public Health Foundation, with a Limited First Printing in March 2011
Modular kaizen: Dealing with Disruptions is a publication of the Public Health Foundation, with a limited first printing in March 2011. Suggested Citation Bialek, R, Duffy, G, Moran, J. Modular kaizen: Dealing with Disruptions. Washington, DC: the Public Health Foundation; 2011. Additional Resources To find other Quality Improvement publications, please visit the Public Health Foundation bookstore at: http://bookstore.phf.org/ To explore free tools, resources and samples, please visit the Public Health Foundation website at: http://www.phf.org/Pages/default.aspx _______________________________________________________________________ Modular kaizen: Dealing with Disruptions Modular kaizen Table of Contents Acknowledgement ii Preface and Overview iii Chapter 1: The Value of Performance Management 1 Chapter 2: The House of Modular kaizen 13 Chapter 3: Implementing Performance Improvement through Modular kaizen 23 Chapter 4: A System View of the Disrupted Process 31 Chapter 5: Focus on the Disruption – Develop the Response Team 45 Chapter 6: Modular Flow for Rapid Cycle Improvement 55 Chapter 7: Tri-Metric Matrix 69 Chapter 8: Standardizing and Controlling the New System 77 Chapter 9: Change Management 91 Chapter 10: Daily Work Management: Using Quality Improvement Skills in Daily Work 101 Appendices Appendix A: Dr. W. Edwards Deming 111 Appendix B: Additional References 113 Appendix C: Templates and Examples 117 Appendix D: Author Biographies 133 Index 135 i _______________________________________________________________________ Modular kaizen: Dealing with Disruptions Acknowledgements After ten years of practicing and developing the concepts of Modular kaizen, the authors thank the Centers for Disease Control and Prevention (CDC) for making possible the publication of this book, supported by Cooperative Agreement Number 3U38HM000518. The contents of this book are solely the responsibility of the authors and do not necessarily represent the official views of CDC. -
Application of the 5S-KAIZEN Approach in Improving the Productivity and Quality of the Healthcare System: an Operational Research
Application of the 5S-KAIZEN Approach in Improving the Productivity and Quality of the Healthcare System: An Operational Research Naglaa Abdel Khalek El-Sherbiny1 (MD); Asmaa Younis ELsary1* (MD); Eman H. Ibrahim1 (MD) 1. Department of Public Health, Faculty of Medicine-Fayoum University, Egypt. A R T I C L E I N F O A B S T R A C T Article type: Introduction: Quality is an important index in various aspects of life. The Original Article 5S-KAIZEN method is widely applied for the improvement of work environments. This systematic approach is fundamentally used to enhance the Article history: quality of services in all types of organizations. The present study aimed to Received: 8-Agust-2017 assess the application of the 5S-KAIZEN approach in improving the quality of Accepted: 29-Agust-2017 care provision in hospitals and evaluate its effects on the job satisfaction of the healthcare providers. Keywords: Materials and Methods: This interventional, operational research was Approach conducted at a teaching hospital. In-depth interviews were performed to obtain Operational the viewpoints of the physicians, and group discussions were held for nurses in Quality order to assess their satisfaction with the implementation of the 5S-KAIZEN 5S-KAIZEN approach in the work environment. Staff Results: Patient-hospital cycle time decreased by more than 50% after implementing the 5S-KAIZEN approach. In addition, the healthcare professionals believed that applying the 5S-KAIZEN approach saved time, money, and efforts, while reducing their daily workload and stress. Conclusion: According to the results, the 5S-KAIZEN approach could improve the standards in the healthcare work environment, support the safe practices leading to high-quality and efficient care services, enhance productivity at a low cost, and increase the satisfaction of the healthcare staff with their professional image and communication with the other personnel. -
Use Process Capability to Ensure Product Quality
Use Process Capability to Ensure Product Quality Lawrence X. Yu, Ph.D. Director (acting) Office of Pharmaceutical Science, CDER, FDA FDA/ PQRI Conference on Evolving Product Quality September 16-17, 2104, Bethesda, MD 1 2 Quality by Testing vs. Quality by Design Quality by Testing – Specification acceptance criteria are based on one or more batch data (process capability) – Testing must be made to release batches Quality by Design – Specification acceptance criteria are based on performance – Testing may not be necessary to release batches L. X. Yu. Pharm. Res. 25:781-791 (2008) 3 ICH Q6A: Test Procedures and Acceptance Criteria… 4 5 Pharmaceutical QbD Objectives Achieve meaningful product quality specifications that are based on assuring clinical performance Increase process capability and reduce product variability and defects by enhancing product and process design, understanding, and control Increase product development and manufacturing efficiencies Enhance root cause analysis and post-approval change management 6 Concept of Process Capability First introduced in Statistical Quality Control Handbook by the Western Electric Company (1956). – “process capability” is defined as “the natural or undisturbed performance after extraneous influences are eliminated. This is determined by plotting data on a control chart.” ISO, AIAG, ASQ, ASTM ….. published their guideline or manual on process capability index calculation 7 Nomenclature Four indices: – Cp: process capability index – Cpk: minimum process capability index – Pp: process -
Operational Excellence
Chapter 6 Operational Excellence ©2016 Montgomery County Community College Objectives This chapter provides an introduction to the role that Operational Excellence (OPEX or OE) plays in the continuous improvement of biomanufacturing operations. The chapter is not intended to serve as a comprehensive guide to every quality improvement, but rather as an overview of tools and techniques which illustrate many of the basic principles of Statistical Process Control (SPC). SPC is a methodology that uses statistical tools and analysis to monitor variations in a process in order to manage and control it. After completing this chapter the student will be able to: describe a process identify potential sources of waste in a process define when a process is “in control” versus “out of control” explain the simple tools used in Lean and Six Sigma improvement methodology list the steps in a Six Sigma process improvement select and apply general Lean Six Sigma tools to simulated problems recognize deployment challenges to OEX strategies 28 Chapter 6 - Operational Excellence Terms 5S (Sort, Straighten, Shine, Standardize, and Sustain): a workplace discipline used to ensure reliable work practices and a clean working environment; used in the West but originally from Japan. The term 5S is derived from the original Japanese usage of S-prefix words: Seiri, Seition, Seiso, Seiketsu, and Shitsuke. Andon: a visual management tool and component of the lean philosophy; these are lights placed on or adjacent to machines or production lines to indicate operation status. Correlation: a statistical relation between two or more variables such that systematic changes in the value of one variable are accompanied by systematic changes in the other. -
Mistakeproofing the Design of Construction Processes Using Inventive Problem Solving (TRIZ)
www.cpwr.com • www.elcosh.org Mistakeproofing The Design of Construction Processes Using Inventive Problem Solving (TRIZ) Iris D. Tommelein Sevilay Demirkesen University of California, Berkeley February 2018 8484 Georgia Avenue Suite 1000 Silver Spring, MD 20910 phone: 301.578.8500 fax: 301.578.8572 ©2018, CPWR-The Center for Construction Research and Training. All rights reserved. CPWR is the research and training arm of NABTU. Production of this document was supported by cooperative agreement OH 009762 from the National Institute for Occupational Safety and Health (NIOSH). The contents are solely the responsibility of the authors and do not necessarily represent the official views of NIOSH. MISTAKEPROOFING THE DESIGN OF CONSTRUCTION PROCESSES USING INVENTIVE PROBLEM SOLVING (TRIZ) Iris D. Tommelein and Sevilay Demirkesen University of California, Berkeley February 2018 CPWR Small Study Final Report 8484 Georgia Avenue, Suite 1000 Silver Spring, MD 20910 www. cpwr.com • www.elcosh.org TEL: 301.578.8500 © 2018, CPWR – The Center for Construction Research and Training. CPWR, the research and training arm of the Building and Construction Trades Department, AFL-CIO, is uniquely situated to serve construction workers, contractors, practitioners, and the scientific community. This report was prepared by the authors noted. Funding for this research study was made possible by a cooperative agreement (U60 OH009762, CFDA #93.262) with the National Institute for Occupational Safety and Health (NIOSH). The contents are solely the responsibility of the authors and do not necessarily represent the official views of NIOSH or CPWR. i ABOUT THE PROJECT PRODUCTION SYSTEMS LABORATORY (P2SL) AT UC BERKELEY The Project Production Systems Laboratory (P2SL) at UC Berkeley is a research institute dedicated to developing and deploying knowledge and tools for project management.