Enhancing Manufacturing Planning and Control Systems Through Artificial Intelligence TechniquesKnowledge-based Systems in Manufacturing
Document TypeBook Chapter
AbstractManufacturing 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.
CopyrightCopyright © 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: email@example.com. Printing, photocopying and sharing via any means is a violation of copyright.
PublisherTaylor & Francis
Place of PublicationPhiladelphia, PA
Citation InformationRonald S. Dattero, John J. Kanet and Edna M. White. "Enhancing Manufacturing Planning and Control Systems Through Artificial Intelligence Techniques" Knowledge-based Systems in Manufacturing (1989)
Available at: http://works.bepress.com/john_kanet/3/