Title
Enhancing Manufacturing Planning and Control Systems Through Artificial Intelligence Techniques
Document Type
Book Chapter
Publication Date
1989
Publication Source
Knowledge-based Systems in Manufacturing
Abstract
Manufacturing planning and control systems are currently dominated by systems based upon Material Requirements Planning (MRP). MRP systems have a number of fundamental flaws. A potential alternative to MRP systems is suggested after research into the economic batch scheduling problem.
Based on the ideas of economic batch scheduling, and enhanced through artificial intelligence techniques, an alternative approach to manufacturing planning and control is developed. A framework for future research on this alternative to MRP is presented.
Inclusive pages
137-150
ISBN/ISSN
9780850664608
Copyright
Copyright © 1989 from (Insert Title) byKnowledge-Based Systems in Manufacturing, by Andrew Kusiak. Reproduced by permission of Taylor and Francis Group, LLC, a division of Informa plc. This material is strictly for personal use. For any other use, the user must contact Taylor & Francis directly at this address: permissions.mailbox@taylorandfrancis.com. Printing, photocopying and sharing via any means is a violation of copyright.
Publisher
Taylor & Francis
Place of Publication
Philadelphia, PA
eCommons Citation
Dattero, Ronald S.; Kanet, John J.; and White, Edna M., "Enhancing Manufacturing Planning and Control Systems Through Artificial Intelligence Techniques" (1989). MIS/OM/DS Faculty Publications. 2.
https://ecommons.udayton.edu/mis_fac_pub/2
Included in
Business Administration, Management, and Operations Commons, Databases and Information Systems Commons, Management Information Systems Commons, Management Sciences and Quantitative Methods Commons, Operations and Supply Chain Management Commons, Other Computer Sciences Commons
Comments
Chapter 7 has been provided by permission of the publisher. Permission documentation is on file.