Lecture The management and control of quality - Chapter 12: Design for six sigma

52 26 0
Lecture The management and control of quality - Chapter 12: Design for six sigma

Đang tải... (xem toàn văn)

Tài liệu hạn chế xem trước, để xem đầy đủ mời bạn chọn Tải xuống

Thông tin tài liệu

Chapter 12 - Design for six sigma. This chapter presents the following content: DFSS activities four principal activities, tools for concept development, house of quality, quality function deployment, building the house of quality, tolerance design,...

Chapter 12 Design for Six Sigma   DFSS Activities Four Principal Activities     Concept development, determining product  functionality based upon customer requirements,  technological capabilities, and economic realities Design development, focusing on product and  process performance issues necessary to fulfill the  product and service requirements in manufacturing  or delivery Design optimization, seeking to minimize the impact  of variation in production and use, creating a  “robust” design Design verification, ensuring that the capability of  the production system meets the appropriate sigma  level Key Idea Like Six Sigma itself, most tools for DFSS have  been around for some time; its uniqueness lies in  the manner in which they are integrated into a  formal methodology, driven by the Six Sigma  philosophy, with clear business objectives in  mind Tools for Concept  Development  Concept development – the process of  applying scientific, engineering, and  business knowledge to produce a basic  functional design that meets both customer  needs and manufacturing or service delivery  requirements.  – Quality function deployment (QFD) – Concept engineering Key Idea Concept Development Developing a basic functional design involves  translating customer requirements into  measurable technical requirements and,  subsequently, into detailed design  specifications Key Idea QFD QFD benefits companies through improved  communication and teamwork between all  constituencies in the value chain, such as  between marketing and design, between  design and manufacturing, and between  purchasing and suppliers House of Quality Interrelationships Technical requirements Voice of the customer Customer requirement priorities Relationship matrix Technical requirement priorities Competitive evaluation Quality Function Deployment technical requirements component characteristics process operations quality plan Building the House of Quality Identify customer requirements Identify technical requirements Relate the customer requirements to the  technical requirements Conduct an evaluation of competing  products or services Evaluate technical requirements and  develop targets Determine which technical requirements to  deploy in the remainder of the  production/delivery process Reliability testing      Life testing Accelerated life testing Environmental testing Vibration and shock testing Burn­in (component stress testing) Measurement System  Evaluation  Whenever variation is observed in  measurements, some portion is due to  measurement system error. Some errors  are systematic (called bias); others are  random. The size of the errors relative to  the measurement value can significantly  affect the quality of the data and resulting  decisions Metrology ­ Science of  Measurement   Accuracy ­ closeness of agreement  between an observed value and a  standard – can lead to systematic bias Precision ­ closeness of agreement  between randomly selected individual  measurements – can lead to random  variation Accuracy vs. Precision Repeatability and  Reproducibility   Repeatability (equipment variation) –  variation in multiple measurements by  an individual using the same  instrument.  Reproducibility (operator variation) ­  variation in the same measuring  instrument used by different individuals Key Idea Calibration One of the most important functions of  metrology is calibration—the  comparison of a measurement device  or system having a known relationship  to national standards against another  device or system whose relationship to  national standards is unknown Process Capability   The range over which the natural  variation of a process occurs as  determined by the system of common  causes Measured by the proportion of output  that can be produced within design  specifications 44 Process Capability Study Typical Questions Asked      Where is the process centered? How much variability exists in the  process? Is the performance relative to specs  acceptable? What proportion of output will be  expected to meet the specs? What factors contribute to variability? Types of Capability Studies    Peak performance study ­ how a process  performs under ideal conditions Process characterization study ­ how a  process performs under actual operating  conditions Component variability study ­ relative  contribution of different sources of variation  (e.g., process factors, measurement  system) Process Capability (a) specification natural variation (c) specification natural variation (b) specification natural variation (d) specification natural variation 47 Process Capability Nominal value Process distribution Upper specification Lower specification 20 25 Process is capable 30 Minutes Process Capability Nominal value Process distribution Upper specification Lower specification 20 25 30 Process is not capable Minutes Effects of Reducing  Variability on Process Capability Nominal value Six sigma Four sigma Two sigma Lower specification Upper specification Mean Key Idea Process Capability The process capability index, Cp  (sometimes called the process potential  index), is defined as the ratio of the  specification width to the natural  tolerance of the process. Cp relates the  natural variation of the process with the  design specifications in a single,  quantitative measure Process Capability Index Cp = UTL - LTL Cpu = UTL - LTL Cpl = Cpk = min{ Cpl, Cpu } 52 ... are systematic (called bias); others are  random.? ?The? ?size? ?of? ?the? ?errors relative to  the? ?measurement value can significantly  affect? ?the? ?quality? ?of? ?the? ?data? ?and? ?resulting  decisions Metrology ­ Science? ?of? ? Measurement... (sometimes called? ?the? ?process potential  index), is defined as? ?the? ?ratio? ?of? ?the? ? specification width to? ?the? ?natural  tolerance? ?of? ?the? ?process. Cp relates? ?the? ? natural variation? ?of? ?the? ?process with? ?the? ? design? ?specifications in a single, ... between marketing? ?and? ?design,  between  design? ?and? ?manufacturing,? ?and? ?between  purchasing? ?and? ?suppliers House? ?of? ?Quality Interrelationships Technical requirements Voice of the customer Customer

Ngày đăng: 04/11/2020, 23:36

Mục lục

  • Chapter 12

  • DFSS Activities Four Principal Activities

  • Key Idea

  • Tools for Concept Development

  • Key Idea Concept Development

  • Key Idea QFD

  • House of Quality

  • Slide 8

  • Quality Function Deployment

  • Building the House of Quality

  • Tools for Design Development

  • Key Idea Tools for Design Development

  • Tolerance Design

  • Key Idea Tolerance Design

  • DFMEA

  • DFMEA

  • Reliability Prediction

  • Types of Failures

  • Types of Reliability

  • Reliability Measurement

Tài liệu cùng người dùng

Tài liệu liên quan