Abstract
Diverse aspects of production planning and related issues are addressed by the papers in this chapter. A taxonomy of event-driven Al-based expert systems is presented in the first paper. It focuses especially on the synergy between the use of such systems and the issues of deriving parallel algorithms for real-time applications. The second paper compares the new lot sizing policy methodology termed DLIC (Dynamic Least Incremental Cost) for variable demand pattern with the well known policies using a variety of demand patterns. The problem of real-time scheduling is addressed by the third paper. Specifically, the potential application of discrete event computer simulation to aid system control in real-time decision-making is analyzed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1991 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Dwivedi, S.N., Verma, A.K., Sneckenberger, J.E. (1991). Chapter II Production Planning. In: Dwivedi, S.N., Verma, A.K., Sneckenberger, J.E. (eds) CAD/CAM Robotics and Factories of the Future ’90. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58214-1_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-58214-1_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-63504-5
Online ISBN: 978-3-642-58214-1
eBook Packages: Springer Book Archive