1 / 66

BA339 Quality and Operations Management

BA339 Quality and Operations Management. Dr. David Raffo Tel: 725-8508, Fax: 725-5850 Email: davidr@sba.pdx.edu. Customer. Customer Requirements. Marketing & Sales. Product Design. Planning Forecasting Capacity Schedule. Process Design. Distribution Whse & transport, by channel.

newman
Télécharger la présentation

BA339 Quality and Operations Management

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. BA339 Quality and Operations Management Dr. David Raffo Tel: 725-8508, Fax: 725-5850 Email: davidr@sba.pdx.edu

  2. Customer Customer Requirements Marketing & Sales Product Design Planning Forecasting Capacity Schedule Process Design Distribution Whse & transport, by channel Order Entry Production Quality Control Materials Management Supply Chain Management, Purchasing, Inventory Control Overview of Operations Management Support from Accounting, Finance, Human Resources, Information Systems

  3. Quality Management • What does the term quality mean? • Quality is the ability of a product or service to consistently meet or exceed customer expectations.

  4. Dimensions of Quality • Performance - main characteristics of the product/service • Aesthetics - appearance, feel, smell, taste • Special features - extra characteristics • Conformance - how well product/service conforms to customer’s expectations • Safety - Risk of injury • Reliability - consistency of performance

  5. Dimensions of Quality (Cont’d) • Durability - useful life of the product/service • Perceived Quality - indirect evaluation of quality (e.g. reputation) • Service after sale - handling of customer complaints or checking on customer satisfaction

  6. Table 9-1 Examples of Quality Dimensions

  7. Table 9-1 Examples of Quality Dimensions (Cont’d)

  8. Determinants of Quality Ease of use Design Conform-ance to design Service

  9. The Consequences of Poor Quality • Loss of business • Liability • Productivity • Costs

  10. Costs of Quality • Failure Costs - costs incurred by defective parts/products or faulty services. • Internal Failure Costs • Costs incurred to fix problems that are detected before the product/service is delivered to the customer. • External Failure Costs • All costs incurred to fix problems that are detected after the product/service is delivered to the customer.

  11. Costs of Quality (continued) • Appraisal Costs • All product and/or service inspection costs. • Prevention Costs • All TQ training, TQ planning, customer assessment, process control, and quality improvement costs to prevent defects from occurring

  12. Table 9-6 Key Contributors to Quality Management

  13. Quality Awards Baldrige Award Deming Prize

  14. Table 9-7 Malcolm Baldrige National Quality Award • 1.0 Leadership (110 points) • 2.0 Strategic Planning (80 points) • 3.0 Customer and Market Focus (80 points) • 4.0 Information and Analysis (80 points) • 5.0 Human Resource Development and Management (100 Points) • 6.0 Process Management (100 points) • 7.0 Business Results (450 points) • TOTAL POINTS = 1000

  15. The Deming Prize • Honoring W. Edwards Deming • Japan’s highly coveted award • Main focus on statistical quality control

  16. Quality Certification • ISO 9000 • Set of international standards on quality management and Quality assurance, critical to international Business • ISO 9000 series standards, briefly, require firms to document their quality-control systems at every step (incoming raw materials, product design, in-process monitoring and so forth) so that they’ll be able to identify those areas that are causing quality problems and correct them.

  17. Quality Tools

  18. Seven Basic Quality Tools • Check sheets • Flowcharts • Scatter diagrams • Histograms • Pareto analysis • Cause-and-effect diagrams • Run Diagrams • Control charts

  19. Check Sheet Monday • Billing Errors • Wrong Account • Wrong Amount • A/R Errors • Wrong Account • Wrong Amount

  20. Flow Chart SymbolsExhibit 4- 9

  21. Scatter Diagram : Cure timeExhibit 4-17

  22. Histogram: Machine Setup Time Exhibit 4-12

  23. Number of defects Offcenter Smeared print Missing label Other Loose Pareto Analysis 80% of the problems may be attributed to 20% of the causes.

  24. Fishbone Chart - Truck Delivery Failures Exhibit 4-15

  25. Diameter Time (Hours) Run Chart

  26. Run Diagram : Outer Diameters Exhibit 4-18

  27. 1020 UCL 1010 1000 990 LCL 980 970 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Figure11-9 Control Chart

  28. Normal Curve TM 4-15

  29. 1 2 3 4 Figure 10-9 Observations from Sample Distribution UCL LCL Sample number

  30. Samplingdistribution Processdistribution Mean Figure 10-4 Sampling Distribution

  31. Samplingdistribution Processdistribution Mean Lowercontrollimit Uppercontrollimit Figure 10-6 Control Limits Specification Limits

  32. Control Charts

  33. SPC: Control Limits TM 4-8

  34. Control Chart Uses • Decision making tools • Provide timely information on recently produced parts. • Helps determine process capability • Problem solving tools • Help locate and investigate causes of questionable quality • Aid operator in monitoring process

  35. Control Chart Uses • Aid in process design and improvement • Data from current process can be evaluated against design targets • Help study changes made to process (with skilled interpretation)

  36. Common Measures • Manufacturing - length, height, viscosity, color, temperature, and velocity • Service - # of errors, # of incorrect trx., delivery times, checkout times, cycle time, • Software - effort, deliverable dates, # defects by type, etc.

  37. and R Charts TM 4-9

  38. Process Control Chart FactorsExhibit 4-22

  39. and R Charts

  40. and R Charts

  41. Developing a Control Chart 1. Take 20-30 random samples of size n where n depends on type of control chart 2. For each sample calculate sample statistic such as X-bar, R or p. 3. Plot the sample statistics sequentially

  42. Developing a Control Chart 4. Calculate grand means and control limits 5. Evaluate results and recalculate control limits if necessary.

  43. Common Causes of Variation • Procedures not suited to requirements • Poor product design • Machines out of order • Machines not suited to requirements • Barriers that rob the worker of the right to do a good job and take pride in his or her work

  44. Common Causes of Variation • Poor instruction and/or supervision of workers • Poor lighting • Incoming materials not suited to requirements • Vibration

  45. Are You Out-of-Control? A process exhibits a lack of control if: • any single value falls outside of the control limits. • any two out of three consecutive points fall in one of the A zones or beyond on the same side of the centerline. • four out of five consecutive points fall in one of the B zones or beyond on the same side of the centerline. • eight or more consecutive points lie on one side of the centerline. [10/11; 12/14; 14/17; or 16/20]

  46. Are You Out-of-Control? • eight or more consecutive points move upward in value or if eight or more consecutive points move downward in value. • there are an unusually small number of runs above or below the centerline (sawtooth pattern). • thirteen consecutive points within the C zone.

  47. Control Chart for Attributes • p-Chart - Control chart used to monitor the proportion of defectives in a process • c-Chart - Control chart used to monitor the number of defects per unit

  48. Table 10-3 Use of p-Charts • When observations can be placed into two categories. • Good or bad • Pass or fail • Operate or don’t operate • When the data consists of multiple samples of several observations each

  49. p-Chart Exhibit 4-26

  50. Statistical Process Control • Variations and Control • Random variation: Natural variations in the output of process, created by countless minor factors • Assignable variation: A variation whose source can be identified

More Related