Lecture Introduction to operations management - Chapter 9: Quality control and improvement

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Lecture Introduction to operations management - Chapter 9: Quality control and improvement

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In this chapter we will discuss: Design of quality control systems, process quality control, attribute control, variables control, using control charts, process capability, continuous improvement, six sigma, lean and six sigma, quality control and improvement in industry.

Operations Management Contemporary Concepts and Cases Chapter Nine Quality Control and Improvement McGraw­Hill/Irwin Copyright © 2011 by The McGraw­Hill Companies, Inc. All rights reserved Chapter Nine Outline Design of Quality Control Systems Process Quality Control Attribute Control Variables Control Using Control Charts Process Capability Continuous Improvement Six Sigma Lean and Six Sigma Quality Control and Improvement in Industry 9­2 Chapter Emphasis Process definition Statistical quality control Continuous improvement 9­3 Design of Quality Control Systems Break down production process into  subprocesses and “internal customers” Identify “critical points” where inspection or  measurement should take place Four steps in designing QC systems 9­4 Steps in Designing QC Systems Identify critical points • Incoming materials & services • Work in process • Finished product or service  Decide on the type of measurement  • Variables • Attribute  Decide on the amount of inspection to be used  Decide who should do the inspection  9­5 Types Of Measurement Attribute measurement –Product /service characteristic evaluated with a  discrete choice: Good/bad, yes/no Variables measurement –Product/service characteristic that can be  measured on a continuous scale: Length, size, weight, height, time, velocity 9­6 When the Inspector Finds a Defect… Containment:  Keep the defective items from  getting to the customer Correction:  Find the cause of the defect and  correct it Prevention:  Prevent the cause from  happening again Continuously improve the system 9­7 When the Inspector Finds a Defect e.g Strap on backpack comes loose Containment:  pull the bad backpacks from the  production line  Correction:  sewing machine misaligned; fix it Prevention:  why was it misaligned?  Find out  and change system to prevent it happening  again; may require additional training Continuously monitor and improve system 9­8 Process Quality Control Basic assumptions (tenets) of Process Quality  Control: – Every process has random variation – Production processes are not usually in a state of control “State of Control” ­ what does it mean? – Unnecessary variation is eliminated – Remaining variation is because of random causes 9­9 “It’s our job to drive the randomness out.” ­­Bill James, statistician for the Boston Red Sox Wall Street Journal, 20 June 2007, p. D7 9­10 frequency Process Capability Index Examples (Figure 9.3) process measure process measure 9­17 frequency Computation of Cpk (Figure 9.4) process measure process measure 9­18 Continuous Improvement Aim of continuous improvement is to reduce  the variability of the product or process Processes with strategic importance and low  process capability should be selected first for  improvement Use seven tools of quality control 9­19 Seven Tools of Quality Control (See Figure 9.5) Flowchart Check Sheet Histogram Pareto Chart Cause­and­ Effect (fishbone or Ishikawa)  Diagram Scatter (x­y) Diagram Control Chart 9­20 Seven Tools of Quality Control Battery Manufacturer in NW Ohio in  6 weeks in 2004, using only the 7  tools of quality, decreased defectives  from 7.2 per 100 to 2.6 per 100 9­21 Pareto Analysis Table 9.4 Defect Items Loose connections Cracked connectors Fitting burrs Improper torque O-rings missing Total #of Precent Cumulative Defectives Defective Percentage 193 46.8% 46.8% 131 31.8% 78.6% 47 11.4% 90.0% 25 6.1% 96.1% 16 3.9% 100.0% 412 100.0% Note: 40 percent of the items cause 78.6 percent of the defects 9­22 Pareto Diagram (Figure 9.6) 250 120.0% # of Defectives 80.0% 150 60.0% 100 40.0% 50 Percentage 100.0% 200 20.0% 0.0% Loose connections Cracked connectors Fitting burrs Improper torque O-rings missing 9­23 Cause-and-Effect (fishbone, Ishikawa) Diagram (Figure 9.7) M a t e r ia l c o n n e c to rs W o rk e rs S m a ll S iz e L a rg e C o n te n t N u ts T r a in in g S iz e F a tig u e K n o w le d g e Hose Loose c o n n e c t io n s S u rfa c e d e fe c t M e a s u re m e n t M e a s u r in g to o ls E x p e r ie n c e E rro rs Judgm ent In s p e c to r W ear A d ju s tm e n t T r a in in g In s p e c t io n T o rq u e A ir p r e s s u r e T o o ls 9­24 Six-Sigma Quality Pioneered by Motorola in 1988 (Juran claimed credit for the idea) 3.4 defects per million Sample size rules become unusable Most process are 4 sigma, e.g., payroll, prescriptions, baggage  handling, journal vouchers, restaurant bills Airline fatalities are 6.4 sigma IRS tax advice is less than 2 sigma Criticism:  accepts 3.4 defects/million.  Is not zero defects! 9­25 Six Sigma Quality Process Improvement steps of Six Sigma  (DMAIC): Define Measure Analyze Improve Control 9­26 Six Sigma Quality Six Sigma uses a project/team approach A process is selected for improvement A cross­functional team is formed A six sigma ‘black belt’ is chosen to head the  team The team uses the DMAIC method for  finding root causes and improving the  process 9­27 Lean and Six Sigma Are complementary approaches to  improvement: – – Lean seeks to eliminate waste Six sigma seeks to eliminate defects Six sigma organization is more formal and  training intensive Six sigma is project focused; lean is more  broad based 9­28 Quality Control and Improvement in Industry 75% use process control charts More use of variable (x­bar and R) charts than  attribute (p) charts because of sample size  requirements Six Sigma rapidly gaining acceptance Quality control in the service industry  (SERVQUAL) 9­29 Summary Design of Quality Control Systems Process Quality Control Attribute Control Variables Control Using Control Charts Process Capability Continuous Improvement Six Sigma Lean and Six Sigma Quality Control and Improvement in Industry 9­30 End of Chapter Nine 9­31 ... Six Sigma Lean? ?and? ?Six Sigma Quality? ?Control? ?and? ?Improvement? ?in Industry 9­2 Chapter Emphasis Process definition Statistical? ?quality? ?control Continuous? ?improvement 9­3 Design of Quality Control Systems... Design of? ?Quality? ?Control? ?Systems Process? ?Quality? ?Control Attribute? ?Control Variables? ?Control Using? ?Control? ?Charts Process Capability Continuous? ?Improvement Six Sigma Lean? ?and? ?Six Sigma Quality? ?Control? ?and? ?Improvement? ?in Industry... process capability should be selected first for  improvement Use seven tools of? ?quality? ?control 9­19 Seven Tools of Quality Control (See Figure 9.5) Flowchart Check Sheet Histogram Pareto Chart Cause? ?and? ? Effect (fishbone or Ishikawa) 

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Mục lục

  • Operations Management Contemporary Concepts and Cases

  • Chapter Nine Outline

  • Chapter Emphasis

  • Design of Quality Control Systems

  • Steps in Designing QC Systems

  • Types Of Measurement

  • When the Inspector Finds a Defect…

  • When the Inspector Finds a Defect e.g. Strap on backpack comes loose

  • Process Quality Control

  • Slide 10

  • Slide 11

  • Process Control Chart (Figure 9.1)

  • Quality Control Chart

  • Attributes & Variables

  • Formulas for SPC (3 Sigma)

  • Issues in Using Control Charts

  • Process Capability Index Examples (Figure 9.3)

  • Computation of Cpk (Figure 9.4)

  • Continuous Improvement

  • Seven Tools of Quality Control (See Figure 9.5)

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