A Systematic Way To Improve Productivity When Using Skilled Labor: The Most Output With The Least Input

Ding, Youmin; Strong, Doug; Ding, Youmin; Strong, Doug

ISBN 10: 3659200174 / ISBN 13: 9783659200175

Published by Lap Lambert Academic Publishing, 2012

About this Item

176 pages. 8.66x5.91x0.40 inches. In Stock.

Seller Inventory # __3659200174

Bibliographic Details

• Title: A Systematic Way To Improve Productivity When Using Skilled Labor: The Most Output With The Least Input
• Publisher: Lap Lambert Academic Publishing
• Publication Date: 2012
• Language: English
• ISBN 10: 3659200174
• ISBN 13: 9783659200175
• Binding: Paperback
• Condition: Brand New
• Weight: 0.31 kilograms

About this title

Synopsis

A systematic approach called “Skilled Labor Based Productivity Improvement Model (SLBPIM)” is developed in this book. It provides a qualitative and quantitative model to improve and maintain the productivity level by observing the production, identifying waste, revealing the cause of loss and finding the solution. SLBPIM is built on two models. One is a qualitative model “The Three Step Procedure (3SP)” and the other one is a quantitative model “Costing of Loss and Solution (CLS)”. The approach developed in this book provides a series of tables and calculation structures. These could be modified to emphasize any particular concern without hurting the overall structure or information required by the model. This approach reduces the level of subjectivity in the decision process because of the standardization applied in the model. This approach could be used in manufacturing, as well as in the other industries such as banking, health or government.

About the Author

Is a Professional Engineer in Canada. He holds a B.Eng. in Electrical Engineering, M.Sc. in Systems Engineering and Ph.D. in Industrial Engineering from the University of Manitoba in Canada. His research interests include data mining, modeling (including simulation and optimization), performance measurement, process analysis, costing and pricing.