Document Type
Thesis
Date of Award
Spring 1995
Degree Name
Master of Science in Manufacturing Systems Engineering - (M.S.)
Department
Manufacturing Engineering Division
First Advisor
Steve Kotefski
Second Advisor
Samir B. Billatos
Third Advisor
Nouri Levy
Abstract
The process planning function can be further optimized with the introduction of an intelligent software package such as an Artificial Intelligence based Generative Computer Process Planning System. An AI based CAPP system, also categorized as an expert system, provides the vital link between design and manufacture, a "bridge" of knowledge in the information chain of manufacturing engineering. With the increasing role of computers in the process planning function, planning has become easier, faster, and more efficient.
This thesis provides an explanation of the process planning function and how artificial intelligence will improve it. Topics in AI techniques and procedures, knowledge engineering, Computer Aided Design, and Group Technology (GT) are discussed. Utilizing the topics presented, a complete interactive software system is presented to illustrate the flexibility of an AI based CAPP system.
Recommended Citation
Tereshkovich, William, "An investigation into artificial intelligence based generative computer process planning" (1995). Theses. 1586.
https://digitalcommons.njit.edu/theses/1586
