A Logic Representation of Manufacturing Control
Abstract
This paper explores some of the typical problems in manufacturing systems planning and control, particularly those pertinent to automatic operation, and describes how artificial intelligence methods can be applied. We demonstrate how predicate logic and theorem-proving techniques using resolution can be used in a manufacturing environment. Assertions of fact and axioms representing the knowledge required are given in an underlying data base. Illustrative examples demonstrate how user problems, such as assignment of Jobs to machines when conflicts occur, can be handled by a decision support system in the framework of resolution in a problem-reduction approach.
Cite
Text
Bullers et al. "A Logic Representation of Manufacturing Control." International Joint Conference on Artificial Intelligence, 1979.Markdown
[Bullers et al. "A Logic Representation of Manufacturing Control." International Joint Conference on Artificial Intelligence, 1979.](https://mlanthology.org/ijcai/1979/bullers1979ijcai-logic/)BibTeX
@inproceedings{bullers1979ijcai-logic,
title = {{A Logic Representation of Manufacturing Control}},
author = {Bullers, William I. and Nof, Shimon Y. and Whinston, Andrew B.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1979},
pages = {117-119},
url = {https://mlanthology.org/ijcai/1979/bullers1979ijcai-logic/}
}