Journal article
Machine planning for manufacturing: dynamic resource allocation and on-line supervisory control
Journal of intelligent manufacturing, Vol.9(5), pp.413-430
10/1998
Handle:
https://hdl.handle.net/2376/114105
Abstract
In this paper*, we provide tools for integrating machine planning and manufacturing. Specifically, we show how assembly trees can be coded into operators for machine planners and how machine planners can represent flow-lines, assembly and job-shop choices. We provide a polynomial-time algorithm for succinctly combining multiple plans; the resulting plan can be expressed as four matrices that are equivalent to a Petri net. We also provide a dynamic supervisory controller that can execute a single plan or switch between multiple plans as real-time conditions change.
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Details
- Title
- Machine planning for manufacturing: dynamic resource allocation and on-line supervisory control
- Creators
- Billy Harris - Department of Computer Science and Engineering University of Texas at Arlington Arlington TX 76019 USADiane Cook - Department of Computer Science and Engineering University of Texas at Arlington Arlington TX 76019 USAFrank Lewis - Automation & Robotics Research Institute 7300 Jack Newell Blvd. South Fort Worth TX␣ 76118 USA
- Publication Details
- Journal of intelligent manufacturing, Vol.9(5), pp.413-430
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Publisher
- Kluwer Academic Publishers; Boston
- Identifiers
- 99900548056601842
- Language
- English
- Resource Type
- Journal article