tailieunhanh - Lecture Principle of inventory and material management - Lecture 30

Lecture 30 - Total Quality Management (Continued). The contents of this chapter include all of the following: Variables and attributes, control charts for variables, parameters, control charts for attributes, tolerances, process capability, understanding continuous improvement, deming 14 points, TQM, seven quality tools, maintenance and reliability, reliability, product failure rate, providing redundancy, maintenance cost, total productive maintenance. | Lecture 30 Total Quality Management (Continued) Books Introduction to Materials Management, Sixth Edition, J. R. Tony Arnold, ., CFPIM, CIRM, Fleming College, Emeritus, Stephen N. Chapman, ., CFPIM, North Carolina State University, Lloyd M. Clive, ., CFPIM, Fleming College Operations Management for Competitive Advantage, 11th Edition, by Chase, Jacobs, and Aquilano, 2005, .: McGraw-Hill/Irwin. Operations Management, 11/E, Jay Heizer, Texas Lutheran University, Barry Render, Graduate School of Business, Rollins College, Prentice Hall Objectives Variables and attributes Control charts for variables Parameters Control charts for attributes Tolerances Process capability Understanding continuous improvement Deming 14 points TQM Seven quality tools Maintenance and reliability Reliability Product failure rate Providing redundancy Maintenance cost Total productive maintenance Variables and Attributes Attributes data refers to quality characteristics that either conform to . | Lecture 30 Total Quality Management (Continued) Books Introduction to Materials Management, Sixth Edition, J. R. Tony Arnold, ., CFPIM, CIRM, Fleming College, Emeritus, Stephen N. Chapman, ., CFPIM, North Carolina State University, Lloyd M. Clive, ., CFPIM, Fleming College Operations Management for Competitive Advantage, 11th Edition, by Chase, Jacobs, and Aquilano, 2005, .: McGraw-Hill/Irwin. Operations Management, 11/E, Jay Heizer, Texas Lutheran University, Barry Render, Graduate School of Business, Rollins College, Prentice Hall Objectives Variables and attributes Control charts for variables Parameters Control charts for attributes Tolerances Process capability Understanding continuous improvement Deming 14 points TQM Seven quality tools Maintenance and reliability Reliability Product failure rate Providing redundancy Maintenance cost Total productive maintenance Variables and Attributes Attributes data refers to quality characteristics that either conform to specification or do not (examples: visual inspection for color, missing parts, scratches, go-no-go gauging) Either the part is within tolerance or it is not. Control Charts for Variables The purpose of control charts is to help distinguish between chance variations and variations due to assignable causes. Variables are characteristics that have continuous dimensions. Control charts for the mean, (x-bar), and the range, (R), are used to monitor processes that have continuous dimensions. 4 Control Charts for Variables The x-bar chart tells whether changes have occurred in the central tendency of a process. The R-chart values indicate that a gain or loss in uniformity has occurred. 5 Parameters Two basic parameters used: Mean - measure of central tendency Range - measure of dispersion The range is defined as the difference between the largest and smallest items in one sample. 6 Control Charts for Attributes Attributes are typically classified as defective or nondefective. Two kinds of attribute