Abstract: Quality Function Deployment (QFD) was conceived in Japan in the late 1960s, during an era when Japanese industries broke from their post-World War II mode of product development through imita- tion and copying and moved to product development based on originality. QFD was born in this envi- ronment as a method or concept for new product development under the umbrella of Total Quality Control. The subtitle "An Approach to Total Quality Control" added to Quality Function Deploy- ment (1), the very first book on the topic of QFD written by the late Dr. Shigeru Mizuno and myself, illustrates this relationship. After World War II, statistical quality control (SQC) was introduced to Japan and became the central quality activity, primarily in the area of manufacturing. Later, it was integrated with the teachings of Dr. Juran, who during his 1954 visit to Japan emphasized the importance of making quality control a part of business management, and the teaching of Dr. Kaoru Ishikawa, who spearheaded the Company Wide Quality Control movement by convincing the top management of companies of the importance of having every employee take part. This evolution was fortified also by the 1961 publication of To- tal Quality Control by Dr. Feigenbaum. As a result, SQC was transformed into TQC in Japan during this transitional period between 1960 and 1965. It was during this time that I first presented the concept and method of QFD. The Japanese automo- bile industry was in the midst of rapid growth, going through endless new product development and model changes. At that time, the following two issues became the seeds out of which QFD was con- ceived.

Abstract: Part 1 Fundamentals of total quality management: historical evolution of total quality management Deming's 14 points, Juran's 10 steps to quality improvement definition of quality - exceptional, perfection or consistency, fitness for purpose, value for money, transformative, TQM messages philosophy, principles and concepts of TQM - the foundation and the four sides of the TQM pyramid, focus on the customer and the employee, focus on facts, continuous improvements, everybody's participation quality management systems and standardization - the concept of the system, quality management systems, Joharry's new window on standardization and causes of quality failures, standardization and creativity, ISO9000 and BS5750 - a stepping stone to TQM? the European quality award - the background to the European quality award, the model, assessment criteria, experiences of the European quality award. Part 2 Methods of total quality management: tools for the quality journey - the quality story, the seven tools for quality control, check sheets, the Pareto diagram, the cause-and-effect diagram and the conncetion with the Pareto diagram and stratification, histograms, control charts, scatter diagrams and the connection with the stratification principle, case example - problem solving in a QC circle using some of the seven tools (Hamanako Denso), flow charts, relationship between the tools and the PDCA cycle some new management techniques - matrix data analysis, affinity analysis, matrix diagrams, prioritization matrices and analytical hierarchies, an example, measurement of quality - an introduction measurement of customer satisfaction - theoretical considerations, a practical procedure, examples employee satisfaction - set up focus with employees to determine relevant topics, design the questionnaire including questions about both evaluation and importance for each topic, compile presentation material for all departments and present the material to the departments, carry out the survey, report at both total and department level, form improvement teams, hold an employee conference quality checkpoints and quality control points quality measurement in product development - definition of the quality concept from a measurement point of view, direct measurement of quality, indirect measurement of quality quality costing - the concept of TQM and quality costs, a new method to estimate the total quality costs, advantages and disadvantages of the new method to estimate total quality costs, quality cost measurement and continuous improvements benchmarking - what is benchmarking?, what can be benchmarked? how is benchmarking carried through?. Part 3 Process management and improvement: leadership, policy deployment and quality motivation - the PDCA leadership model - a model for policy deployment, leadership and quality motivation. (Part contents)

Abstract: In collaboration with industry partners, a normative model of the product concept decision process was developed, supported with tools and techniques, and codified as a decision support process for product development teams. This process Concept Engineering was then introduced into a number of product development teams in different companies. A comparative analysis of actual product concept development activities, with and without the use of Concept Engineering, was conducted. All of the observed teams viewed time to market as a critical measure of their success. However, the development processes differed significantly depending on whether relatively more emphasis was placed on time or market considerations. Key variables associated with the product concept development decision process and time-to-market dynamics were identified and a theory of the concept development process was developed using the inductive system diagram technique, a research methodology developed in the course of this work. We believe this work contributes to the operations management literature in three ways. First, it introduces a very detailed, structured decision process for product concept development, enhancing the literature on Quality Function Deployment QFD. Second, it presents a theory of product concept development that can improve understanding of success and failure in product concept development. Third, this work develops new methodology Inductive Systems Diagrams for field work in operations management. This methodology marries the grounded theory methods familiar to sociologists with causal-loop modeling familiar to systems dynamicists, yielding a rigorous tool for systematically collecting, organizing, and distilling large amounts of field-based data.

Abstract: INTRODUCTION The Role of the Customer in Design Going to the Gemba and a Successful QFD Project One Matrix and the Gemba Recapture a Lost Market A QFD Application with Depth Preparing for QFD QFD and Increased Efficiency FLOW OF ANALYSIS IN STEP-BY-STEP QFD Sequential Design Concurrent Design Product Design Process The Major Steps Developing a Design Process Developing the Critical Process Responsibility for the Critical Process Identifying Critical Tasks Responsibility for the Critical Process The Product Design Process Chart PRIORITY OF CUSTOMER SEGMENTS Customer Segments Measurement Ranking The Analytic Hierarchy Process (AHP) UNDERSTANDING YOUR CUSTOMER Voice of the Customer Context of Application Expanding the Verbatim Response Sorting Customer Data Affinity Diagrams Kano Model The Tree and Prioritizing Demand Quality CUSTOMER VOICE INTO DESIGN TEAM VOICE Overview Demanded Quality Quality Planning Table (part 1) Quality Planning Table (part 2) Some Added Thoughts Performance Measures Identifying Performance Measure Conflicts Multiple Customers A BETTER WAY TO MEASURE QUALITY Introduction How to Measure Quality Loss Function NEW DESIGN CONCEPTS Pugh's Selection and the Design Process Analysis of Design Options Creating New Concepts THEORY OF INVENTIVE PROBLEM SOLVING The History of TRIZ Degree of Inventiveness Patterns of Inventions Normal Problem Solving Process Technical Contradictions Contradiction Table VOICE OF CUSTOMER TO MANUFACTURING Linking the Customer to Manufacturing Manufacturing Process Flow QFD vs. Manufacturing Perspective Acceptance Matrix Manufacturing Process Flow ROBUST DESIGN IN MANUFACTURING Robust Design QFD: Manufacturing Deployment Finding the Best Operating Conditions Reducing Variation Dynamic Applications Summary for Robust Design ADMONITIONS Leadership and Project Selection Group Dynamics Common Pitfalls and Errors QFD and Your Organization's Future INDEX

Abstract: This paper integrates the process oriented view of quality in manufacturing with the multi-attribute product positioning and customer preference models of marketing, within the context of traditional economic models of markets and competition. In manufacturing applications, “quality” is often defined as conformance to specifications or as meeting standards on the performance of the product. In the marketing and economics literature, “quality” typically refers to the performance level or “class” of the product. To capture both perspectives, a product is described by a vector of performance attributes, and the population of produced units is assumed to display a distribution on these attributes. The distribution perceived by customers may differ from the actual. The attribute levels (means) may be taken to define the class, or performance of the product. Quality in the sense of conformance is then conceptually identified with the absence of variation of the population. Consumer preferences are modelled by a...

Abstract: The relationship between the different approaches to quality in ISO standards is reviewed, contrasting the manufacturing approach to quality in ISO 9000 (quality is conformance to requirements) with the product orientation of ISO 8402 (quality is the presence of specified features) and the goal orientation of quality in use in ISO/IEC 14598-1 (quality is meeting user needs). It is shown how ISO 9241-11 enables quality in use to be measured, and ISO 13407 defines the activities necessary in the development lifecycle for achieving quality in use.

Abstract: Posits that advocates of quality function deployment (QFD) claim that it leads to better product designs, lower product costs, and shorter development times. Presents a study which aims to learn if organizations that apply QFD to product development achieve these benefits. Data from a survey of 80 QFD projects undertaken by 40 firms are used to examine these critical relationships. When leaders from these project teams were asked to compare results from product development efforts without QFD to results with QFD, they claimed that product designs and customer satisfaction improved significantly with QFD. Product costs and time‐to‐market showed only modest improvements. Benefits in time and costs may increase as QFD teams get better training and more experience. Describes the development and costing of a model of QFD implementation issues, product development outcomes, and customer satisfaction. Concludes that QFD’s implementation issues, specifically the organizational dimensions, have a significant impact on product design outcomes and resource consumption.

Abstract: In this article we describe and discuss QFD (quality function deployment) as a framework for managing software requirements. Experiences were gained while participating as researchers in a commercial large-scale software telecommunications project at Ericsson Radio Systems AB. We found that prerequisites for succeeding with QFD include having visible customers and users, forming a cross-functional team adequately trained in QFD, and allowing adequate time for its first application. Advantages of using QFD are: better focus on customers and users, an effective means of prioritizing and communicating software requirements; and managing non-functional requirements. Issues not fully supported by QFD include adequate abstractions levels in describing requirements, handling temporal relations between requirements and initiating the use of QFD for a new development project.

Abstract: This text provides a balanced introduction to production operations management, combining managerial issues with technical tools and quantitative applications, and emphasizing practical applications in actual organizations throughout the text. This edition emphasizes quality, international issues, competitiveness, and service organizations. The author, an examiner for the Baldrige National Quality Award, integrates core concepts underlying award criteria throughout the text. New chapters address the scope of performance measurement in operations as well as fundamental issues of quality control and process improvement. Other new or expanded material on quality and manufacturing in strategic planning, quality function deployment, teamwork, push and pull distribution systems, and constraint management aims to assure complete, timely coverage. Quantitative chapters now include a section of solved problems for better understanding of techniques. Flexible organization allows instructors to either focus on broad managerial issues of POM or emphasize quantitative techniques and management-science applications.

Abstract: Increasing customer satisfaction requires that organizations bridge the gap between internal process quality and external perceptions of quality and satisfaction Although both engineering-based and market-based approaches to quality offer tools and met

Abstract: Meaningful user involvement in systems development and an overall user orientation is critical to the success of any development project. Although traditional systems development methodologies recognize the importance of the user, they provide no formalized methods to translate user quality requirements into system design specifications. In addition, these methodologies are not rigorous in maintaining a focus on user quality requirements during the later phases of development.Manufacturing organizations with established Total Quality Management (TQM) programs successfully use a technique called Quality Function Deployment (QFD) to carry the customers' quality requirements through the design, production, and delivery processes. QFD has also been used to determine software requirements in systems development. This paper describes a systems development process that integrates QFD more completely into the traditional methodologies. The result is a practical process that focuses the development effort on system quality as defined by the various customer groups. An example case study illustrates the methodology and its benefits.

Abstract: Quality overview traditional quality concepts modern quality concepts implementation strategy of total quality management tools of quality special tools and techniques for the future world of quality unusual yet powerful tools used in TQM regression - the foundation of multivariate analysis design of experiments (DOE) more tools for modern quality the full chain of quality - supplier, organization and customer relationship value analysis problem solving teams meetings project management training quality planning overview of reliability quality awards international standards of quality and corporate quality awards epilogue appendix a - selection of statistical techniques based on the three types of data appendix b - DISC leadership model appendix c - constraints for constructing some of the most common control charts appendix d - basic formulas used in the construction of control charts appendix e - general statistical formulas used in the pursuit of quality appendix f - cost of quality appendix g - a comparison of process improvement.

Abstract: Reports the results of an exploratory study which examined the potential of using “conversational” information from the Internet to enhance product quality. Examines and sorts archived messages to evaluate potential for using them to supplement the quality function deployment (QFD) and quality improvement (QI) story processes.

Abstract: This article presents a prescriptive modeling approach to determining the target design characteristic levels in quality function deployment. The proposed modeling approach will enable designers to reconcile trade-offs among various customer attributes,..

Abstract: Presents a synergy and integration of marketing and operations for continuous quality improvement in a service setting. Discusses measurements, improvements, and responsibilities of service quality. Integrates a service quality evaluation tool (SERVQUAL) and a service quality improvement tool (QFD). Claims that only through this synergy and integration of systems, concepts and tools will the aim of the organization in achieving service quality be reached.

Abstract: : Rapid prototyping (RP) is a new and quickly growing field in engineering. Because of the diverse technology, rapid development and inadequate direction associated with rapid prototyping, two major problems arise. The novice and expert alike discover it is increasingly difficult to determine the best machine for each application. Also, research facilities are presented with the challenge of locating valid research areas. The objective of this research involves the creation of a program capable of selecting the best rapid prototyping machine for each application, noting areas in need of development. To achieve this objective, the research develops a quality function deployment, resulting in a problem understanding form for a rapid prototyping machine selection program. This research yields a program called the RP Advisor. The program uses input concerning the desired prototype to calculate a normalized time, cost and quality value for each machine. The time, cost and quality values are weighted with respect to the priorities of the user. The program then derives a normalized non-dimensional value from the weighted values for each machine. Upon ranking the machines with respect to this non-dimensional number, the RP Advisor informs the user of the best machine and its corresponding data. The RP Advisor also lists alternative machines for comparison. Valid research areas exist when no machine is selected. Review of previous work indicates the RP Advisor is the first working program available in the United States which employs a rapid prototyping machine selection algorithm.

Abstract: The hospitality industry is a customer-driven, peopleoriented business. As such, the customer is the cornerstone of the service delivery system. Decisionmakers, in managing hospitality service delivery systems, are thus facing a managerial dilemma. On one hand, they want to satisfy customers' demands in the form of improved quality service that ensures a customer orientation. Yet, they are under increasing pressure to ensure operational efficiency. This article offers a step forward toward resolving this dilemma by addressing this apparent conflict. A framework is presented that facilitates the implementation of a new approach to determining the optimal cost of service quality. The proposed approach integrates the operational and strategic views of optimal service quality with root cause analysis (RCA) in search of the optimal service quality level. Finally, guidelines for implementing this integrative approach are provided.

Abstract: This paper proposes a forecasting methodology based on a combination of QFD and S-curve analysis, In process industries there is a need to strengthen the linkages between process attributes, product attributes, and customer requirements. Industry planning processes accept the relationship between technological positioning, project portfolios, and market life cycles, but specific methods are seldom discussed. QFD(Quality Function Deployment) can be used to translate customer requirements into product specifications and in turn to specify the process capabilities required to meet those customer requirements. The paper recommends that managements use analogues of QFD adapted to the need for dynamic changes in process capability. This approach would focus on the interaction between key variables of customer requirements and the technological capabilities of the firm and its competitors, at present and in the future. Historical industry-wide capabilities would be projected through S-curve analysis, while customer requirements can be related to these capabilities through information from QFD studies focused on future customer requirements. Because of their potential complexity, these analyses should deal with only a very limited number of interacting attributes and special care should be given to the management of their implementation.

Abstract: PART I: QUALITY MANAGEMENT Total Quality Management: Concepts and Principles Tools and Techniques Implementation Quality Innovators Walter A. Shewhart W. Edwards Deming Kaoru Ishikawa Joseph M. Juran PART II: QUALITY AWARDS Malcolm Baldrige National Quality Award George M. Low Award (NASA Excellence Award) The Deming Prize PART III: QUALITY TOOLS AND METHODS Data and Sampling Problem Identification Tools Brainstorming Nominal Group Technique Multivoting The Seven Basic Quality Control Tools Check Sheets Flowcharts Graphs Histograms Pareto Charts Cause-and-Effect Diagrams Scatter Diagrams Control Charts Control Charts for Variables Uses of Control Charts Variables Control Charts Application of Variables Control Charts Interpreting the Charts Control Charts for Attributes Fraction Non-Conforming (p Chart) Number Non-Conforming (np Chart) Non-Conformities When to Use the Different Control Charts Quality Improvement Stories What is a Quality Im provement Story Step 1: Identify the Problem Area Step 2: Observe and Identify Causes of the Problem Step 3: Analyze, Identify, and Verify Root Cause(s) of the Problem Step 4: Plan and Implement Preventive Action Step 5: Check Effectiveness of Action Taken Step 6: Standardize Process Improvement Step 7: Determine Future Action Other Considerations The Seven Quality Management Tools Affinity Diagram (KJ Method ") Relations Diagram (Interrelationship Digraph) Systematic Diagram (Tree Diagram) Matrix Diagram Matrix Data-Analysis (Prioritization Matrices) Process Decision Program Chart Arrow Diagrams (Activity Network Diagram) PART IV: OTHER QUALITY ISSUES Quality Function Deployment What Is Quality Function Deployment Methodology Relationship Matrix Construction Results Benefits Benchmarking The Benchmarking Process Special Considerations Quality Teams What Are Quality Teams? Types of teams Core Team Participants Selection of Problem or Improvement G uidelines Team Meeting Guidelines ISO 9000 International Organization for Standardization ISO 9000 Final Comments PART V: APPENDICES The European Community: Emergence and Governing Institutions The European Community Institutions of the European Community Bibliography Normal Distribution Table Factors Used to Construct Variables Control Charts Data Collection and Plotting Forms for Attributes and Variables Control Charts INDEX

Abstract: Quality function deployment (QFD) is a cross-functional planning tool which ensures that the voice of the customer is systematically deployed throughout the product planning and design stages. Impediments tot he adoption of QFD as a product design aid i..

Abstract: As soon as the automotive industry in the western world countries recognizes that the outstandig performace of Japanese manufacturers is the result of a customer-oriented understanding of quality, the QFD approach became a famous instrument to achieve the product quality demanded by customers. Nevertheless this concept has its limits. In this article we suggest the extension of the QFD approach on the base of customer values and benefits. To explain the main idea we applicate the new concept to passenger cars.

Abstract: In these case studies, groupware was used as a group decision-making environment to assist teams evaluating a quality function deployment framework for risk management and agile manufacturing system designs. In the first case, teams identified customers' requirements and risk categories for a research and development project. They then mapped the relationship between these customer requirements and the risk categories. In the second case, cross-functional teams collaborated in selecting the best layout for a cellular manufacturing facility. These experimental findings support the use of group decision systems by design and project teams required to manage R&D projects or to design agile manufacturing systems.

Abstract: The benefits claimed by advocates of quality function deployment (QFD) are better product designs, lower product costs, shorter development times, and better documentation of methods and results. The purposes of this study are to learn if organizations ..