An integrated knowledge-based scheduler for batch manufacturing systems (IKBAS)

Thesis/Dissertation · Thu Jan 01 04:00:00 EST 1987

OSTI ID:5172712

Lee, T

This research explores the feasibility and advantages of the development of an integrated knowledge-based system (IKBAS) for job-shop scheduling in manufacturing systems. Valid and usable schedules are necessary to enable domestic manufacturing industries to meet the challenge of international competition. The integrated scheduler (INSCH), a precursor to IKBAS, was developed as part of this research and incorporated into the model to perform the selecting and releasing of job orders to be processed by selected dispatching rules in interaction with the decision maker. INSCH can schedule a set of job orders selected from a job pool by various dispatching rules for different job performance criteria using new job release methods. The integrated knowledge-based scheduler (IKBAS) was constructed with a simple knowledge-based-system which consists of some research-based facts and sixteen heuristic rules, to determine the specific dispatching rule. It is concluded that the development of IKBAS for job shop scheduling is feasible and may be usefully implemented in some manufacturing shops.

• Research Organization: Cleveland State Univ., OH (USA)
• OSTI ID: 5172712
• Country of Publication: United States
• Language: English

Related Subjects

42 ENGINEERING
420200* -- Engineering-- Facilities
Equipment
& Techniques
99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
COMPUTER-AIDED MANUFACTURING
DATA PROCESSING
DECISION MAKING
FEASIBILITY STUDIES
FUNCTIONAL MODELS
KNOWLEDGE BASE
MANUFACTURING
PROCESSING
TASK SCHEDULING