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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. -
Process Mapping
December 2011 Contents Process Mapping 1. Introduction 1. Introduction 2. What is Process Mapping? 3. Why Process Map? Process map, also known as process flowchart, is used to describe a process. A process is defined as “a 4. Limitations of Process structured set of activities that transform inputs into Mapping outputs”. Processes should be measurable with clear performance indicators, and assist in defining 5. Types of Process Maps responsibilities, internal controls and work standards for 5.1. Relationship Map 5.2. Process Flowchart compliance, consistency and performance. Processes 5.3. Cross-Functional Process are strategic assets of an organisation that if well Map managed, will deliver a competitive advantage. 6. Key Steps in Process Mapping 7. Process Mapping “Dos and Don’ts” 2. What is Process Mapping? Case study A process map is a graphical representation and defines . Hughes Space and how an organisation performs work: the steps involved Communications Company and their sequence; who is responsible for each step; and . Construction Project Integrations (CPI) Pte Ltd how work groups interact. Process mapping refers to “activities involved in defining exactly what a business Recommended Readings entity does, who is responsible, to what standard a process should be completed and how the success of a References business process can be determined”. It visually describes the flow of activities of a process – the Upcoming Programmes sequence and interactions of related process steps, activities or tasks that make up an individual process, from beginning to end. A process map is usually read from left to right or from top to bottom. Arrows that go from right to left or bottom to top, also known as backflow, Please note: This Productivity Link is provided as are usually minimised as it can greatly confuse the part of our Productivity Information reader. -
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. -
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. -
Extending the A3: a Study of Kaizen and Problem Solving
VOLUME 30, NUMBER 3 July through September 2014 Abstract/Article 2 Extending the A3: A Study of References 14 Kaizen and Problem Solving Authors: Dr. Eric O. Olsen Keywords: Dr. Darren Kraker Lean Manufacturing / Six Sigma, Ms. Jessie Wilkie Management, Teaching Methods, Teamwork, Visual Communications, Information Technology, Quality Control PEER-REFEREED PAPER n PEDAGOGICAL PAPERS The Journal of Technology, Management, and Applied Engineering© is an official publication of the Association of Technology, Managment, and Applied Engineering, Copyright 2014 ATMAE 275 N. YORK ST Ste 401 ELMHURST, IL 60126 www.atmae.org VOLUME 30, NUMBER 2 The Journal of Technology, Management, and Applied Engineering JULY– SEPTEMBER 2014 Dr. Eric Olsen is Professor of Indus- Extending the A3: trial and Packaging Technology at Cal Poly in San Luis Obispo, California. A Study of Kaizen and Problem Solving Dr. Olsen teaches Dr. Eric O. Olsen, Mr. Darren Kraker, and Ms. Jessie Wilkie undergraduate and master’s courses in lean thinking, six sigma, and operations management. Dr. Olsen had over 20 years of industry experience in engineer- ing and manufacturing management ABSTRACT before getting his PhD at The Ohio State A case study of a continuous improvement, or kaizen, event is used to demonstrate how allowing “extended” University. His dissertation compared responses to the respective sections of lean A3 problem solving format can enhance student, teacher, and the financial performance of lean versus researcher understanding of problem solving. Extended responses provide background and reasoning that non-lean companies. Dr. Olsen continues are not readily provided by the frugal statements and graphics typically provided in A3s. -
Review Paper on “Poka Yoke: the Revolutionary Idea in Total Productive Management” 1,Mr
Research Inventy: International Journal Of Engineering And Science Issn: 2278-4721, Vol. 2, Issue 4 (February 2013), Pp 19-24 Www.Researchinventy.Com Review Paper On “Poka Yoke: The Revolutionary Idea In Total Productive Management” 1,Mr. Parikshit S. Patil, 2,Mr. Sangappa P. Parit, 3,Mr. Y.N. Burali 1,Final Year U.G. Students, Mechanical Engg. Department,Rajarambapu Institute of Technology Islampur (Sangli),Shivaji University, Kolhapur (India) 2,P.G. Student, Electronics Engg. Department, Rajarambapu Institute of Technology Islampur (Sangli), Shivaji University, Kolhapur (India) Abstract: Poka-yoke is a concept in total quality management which is related to restricting errors at source itself. It deals with "fail-safing" or "mistake-proofing". A poka-yoke is any idea generation or mechanism development in a total productive management process that helps operator to avoid (yokeru) mistakes (poka). The concept was generated, and developed by Shigeo Shingo for the Toyota Production System. Keywords— Mistake-proofing, Total quality management, Total productive management. I INTRODUCTION In today’s competitive world any organisation has to manufacture high quality, defect free products at optimum cost. The new culture of total quality management, total productive management in the manufacturing as well as service sector gave birth to new ways to improve quality of products. By using various tools of TQM like KAIZEN, 6 sigma, JIT, JIDCO, POKA YOKE, FMS etc. organisation is intended to develop quality culture.[2,6] The paper is intended to focus basic concept of poka yoke, types of poka yoke system, ways to achieve simple poka yoke mechanism. It also covers practical study work done by various researchers . -
Lean Six Sigma Rapid Cycle Improvement Agenda
Lean Six Sigma Rapid Cycle Improvement Agenda 1. History of Lean and Six Sigma 2. DMAIC 3. Rapid Continuous Improvement – Quick Wins – PDSA – Kaizen Lean Six Sigma Lean Manufacturing Six Sigma (Toyota Production System) DMAIC • T.I.M.W.O.O.D • PROJECT CHARTER • 5S • FMEA • SMED • PDSA/PDCA • TAKT TIME • SWOT • KAN BAN • ROOT CAUSE ANALYSIS • JUST IN TIME • FMEA • ANDON • SIPOC • KAIZEN • PROCESS MAP • VALUE STREAM MAP • STATISTICAL CONTROLS Process Improvement 3 Lean Manufacturing • Lean has been around a long time: – Pioneered by Ford in the early 1900’s (33 hrs from iron ore to finished Model T, almost zero inventory but also zero flexibility!) – Perfected by Toyota post WWII (multiple models/colors/options, rapid setups, Kanban, mistake-proofing, almost zero inventory with maximum flexibility!) • Known by many names: – Toyota Production System – Just-In-Time – Continuous Flow • Outwardly focused on being flexible to meet customer demand, inwardly focused on reducing/eliminating the waste and cost in all processes Six Sigma • Motorola was the first advocate in the 80’s • Six Sigma Black Belt methodology began in late 80’s/early 90’s • Project implementers names includes “Black Belts”, “Top Guns”, “Change Agents”, “Trailblazers”, etc. • Implementers are expected to deliver annual benefits between $500,000 and $1,000,000 through 3-5 projects per year • Outwardly focused on Voice of the Customer, inwardly focused on using statistical tools on projects that yield high return on investment DMAIC Define Measure Analyze Improve Control • Project Charter • Value Stream Mapping • Replenishment Pull/Kanban • Mistake-Proofing/ • Process Constraint ID and • Voice of the Customer • Value of Speed (Process • Stocking Strategy Zero Defects Takt Time Analysis and Kano Analysis Cycle Efficiency / Little’s • Process Flow Improvement • Standard Operating • Cause & Effect Analysis • SIPOC Map Law) • Process Balancing Procedures (SOP’s) • FMEA • Project Valuation / • Operational Definitions • Analytical Batch Sizing • Process Control Plans • Hypothesis Tests/Conf. -
Business Process Improvement Methodologies: Common Factors and Their Respective Efficacies
BUSINESS PROCESS IMPROVEMENT METHODOLOGIES: COMMON FACTORS AND THEIR RESPECTIVE EFFICACIES Winston R. Nickerson A thesis submitted to The University of Gloucestershire in accordance with the requirements of the degree of Doctor of Business Administration in the Faculty of Business, Education & Professional Studies 10 November, 2014 ACKNOWLEDGEMENTS My heartfelt thanks go to my supervisor, Professor Gerald Watts. His expertise provided both insight and motivation - the two key factors which moulded this thesis into the final form that it has taken. His understanding of both the academic and business worlds helped me move beyond my preferred paradigms and enabled me to produce a dissertation that is acceptable to the academic community and benefits the business world. I acknowledge that, at times, I tried his patience with my resolve and proclivity to focus predominantly on this research’s contributions to business practices. I would also like to take this opportunity to acknowledge the business managers, consultants and practitioners who participated in the initial survey as well as the subsequent interview sets. The information they provided filled the enormous voids in evidence left by the available literature. This gap closure enabled me to analyse business process improvement methodologies in a unique manner and to an extent previously not available to the business community. i ABSTRACT Business process improvement (BPI) methodologies play an important role in increasing a business’s performance and its competitiveness. Since World War II, a number of these methodologies have been developed. Each of these held to a different philosophy as to what drives process improvement. Therefore, each focused on a seemingly unique aspect or parameter of business processes. -
A Management Approach for Continuous Improvement
Seiri (Sort) Seiso (Cleaning) Seiton (Organize) Seiton Seiketsu (Systemize) Seiketsu Shitsuke (Standardize) Shitsuke Potentiality of Japanese 5S Methodology in Bangladesh: A Management Approach for Continuous Improvement Munira Sultana Nashia Zaman Assistant Professor Assistant Professor Department of Economics Department of Japanese Studies Jagannath University University of Dhaka. Abstract This paper aims to introduce Japanese Kaizen tool 5S system in Bangladeshi companies in a large scale for an accelerated and efficient production process. Through continuous improvement by implementing 5S system an entity will be able to generate profit by reducing losses, costs and fastening the production process along with enhanced quality and safety for the members associated in the whole production process. Japanese 5S system is widely used in various types of industries around the world. This paper elaborates the 5S process and portrays the advantages associated in the system. Incorporating lessons from Japanese management system, Bangladesh has already introduced Kaizen tool 5S system in various manufacturing, Small and Medium Enterprises (SME), service, health sectors in small extent. But more expansion is feasible and desirable and ultimately can culminate into a massive growth scenario in Bangladesh. This paper identifies the advantages of 5S system in various arenas and continuous improvement leads to the betterment of working environment which facilitates the production process and improves the working process of any entity along with the assurance of efficiency, quality and profitability at minimized costs and waste. Keywords: 5S, continuous improvement, waste elimination. Introduction Globally the challenge of maintaining quality at low cost exerts pressure on the business arena. In order to provide quality products at low cost to the consumers, a simple method named 5S system can act fruitfully and efficiently.