Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

Quality Management and Productivity: Formulas, Tools, and Strategies, Study notes of Production and Operations Management

The essential concepts of productivity, quality management, and business operations. Learn about the importance of marketing, finance, and operations in a business context, as well as the role of quality tools like checksheets and pareto analysis. Discover the significance of statistical processing control, product design, and service design. Key topics include quality awards, process capability, and design documents.

Typology: Study notes

Pre 2010

Uploaded on 10/13/2008

b-j-1
b-j-1 🇺🇸

1 document

1 / 4

Toggle sidebar

Related documents


Partial preview of the text

Download Quality Management and Productivity: Formulas, Tools, and Strategies and more Study notes Production and Operations Management in PDF only on Docsity! Know definitions, don’t worry about Excel, only need to know 4 and 18 from ch. 5 in terms of formulas, 50/50 verbal and math, Patgorski and Russell I. Intro a. Productivity= output/input b. Marketing, Finance, Operations c. Supply chain d. Globalization and competitiveness i. Money throughout the world e. Strategy and operations i. Corporate 1. Finance 2. Marketing 3. Operation (most important for running a business) II. Quality Management a. Quality tools i. Checksheet ii. Pareto b. Importance of quality i. Cost of poor quality c. Evolution of Quality control i. Statistical processing control ii. Acceptance sample d. Deming cycle (14 points) i. Plan ii. Do iii. Check iv. Act e. 6 sigma (what does it mean in parts per million?) i. DMAIC (much like Deming) ii. Importance iii. Ideas f. Quality awards i. ISO Cert III. Statistical Process Control a. SPC in quality management i. Attributes and variable 1. Assignable causes 2. Random causes b. Control charts (defects in a sampling unit) i. P- percent ii. C-count iii. Xbar and R 1. Xbar= avg of sample values 2. Xdoublebar= avg of sample avg 3. R= sample hi-lo values 4. Rbar= avg iv. UCL= mean +- z std. dev. v. Pbar= # defective/ total # measured (sample size x # samples) c. Process capability i. Specifications 1. Given by customer ii. Control limit 1. Given by process 2. As quality of the process decreases, the control limit difference increases (range increase) IV. Product design a. Idea generation i. Feasibility, prototype b. Design process (corporate and customer input to produce a good design) i. Products ii. Services c. Design documents i. Prints ii. Specs iii. Assembly diagrams d. Concurrent design i. Design teams ii. Reduce time to market, cost of design, cost of changes e. Technology i. CAD ii. CAE iii. CAM f. Collaborative design i. Design reviews 1. What if? g. Environmental design h. QFD i. House of quality i. Design for robustness V. Service design a. Service economy i. Characteristics of services vs. products
Docsity logo



Copyright © 2024 Ladybird Srl - Via Leonardo da Vinci 16, 10126, Torino, Italy - VAT 10816460017 - All rights reserved