Artificial intelligence, Expert systems, Materials handling, Automation in Warehouses
This report discusses the major functions, decisions, and strategies of automated storage and retrieval systems (AR/RS). The report surveys the essential features of expert systems and discusses how they can be applied in automated warehousing environments. A blackboard expert system architecture was examined and found to be a flexible and responsive control system for automated warehousing applications. A simple AR/RS expert system was constructed using an expert system software package. A warehousing simulation was performed which compared the expert system’s performance to a typical AR/RS control system. The expert system produced increased efficiency of operation because of the intelligent rules programmed into the system.
If this is your thesis or dissertation, and want to learn how to access it or for more information about readership statistics, contact us at STARS@ucf.edu
Biegel, John E.
Master of Science (M.S.)
College of Engineering
Industrial Engineering and Management Systems
Length of Campus-only Access
Masters Thesis (Open Access)
McDonald, Robert E., "The Application of Expert Systems to Automated Storage and Retrieval" (1986). Retrospective Theses and Dissertations. 4908.
Contributor (Linked data)
Biegel, John E. [VIAF]
Biegel, John E. [LC]