Knowledge-based Systems For Cutting Stock Problems

Author

Cihan H. Daǧli, Missouri University of Science and TechnologyFollow

Abstract

In this paper, various methods proposed for the solution of cutting stock problems are reviewed. The impact of expert systems and artificial intelligence on solving these problems is assessed. An intelligent system architecture is proposed. The structure uses knowledge-based scheduling concepts and provides a basis for exploring integration of expert systems and operations research techniques in generating cutting patterns with minimum scrap. © 1990.

Recommended Citation

C. H. Daǧli, "Knowledge-based Systems For Cutting Stock Problems," European Journal of Operational Research, vol. 44, no. 2, pp. 160 - 166, Elsevier, Jan 1990.

The definitive version is available at https://doi.org/10.1016/0377-2217(90)90351-B

Department(s)

Engineering Management and Systems Engineering

Keywords and Phrases

artificial intelligence; Cutting and packing problem; manufacturing industries

International Standard Serial Number (ISSN)

0377-2217

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2023 Elsevier, All rights reserved.

Publication Date

25 Jan 1990