Title

The Development Of Knowledge For Maintenance Management Using Simulation

Authors

Authors

N. M. Paz; W. Leigh;R. V. Rogers

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

IEEE Trans. Syst. Man Cybern.

Keywords

DISPATCHING RULES; SHOP; Computer Science, Cybernetics; Engineering, Electrical & Electronic

Abstract

The management of maintenance is an area of great concern for any industry that depends on the smooth running of equipment to produce a product or carry out a mission at a profit or at low cost. Maintenance managers must have access to advanced information systems to help them plan their work forces and control operating costs more efficiently. This paper describes a method and demonstrates its use to develop a knowledge base for a Maintenance Supervisor Assistant System (MSAS). MSAS interacts with the maintenance manager on a periodic basis in order to select, for the next period of operations, the proper policies and techniques to meet management objectives. The first stage of the method is the knowledge acquisition phase. For this phase, an object-oriented computer simulation model has been developed as a testbed for examining different scheduling heuristics and manning policies in a range of maintenance environments. The dimensions of the maintenance environment which are considered include: preventive maintenance policies, staffing policies, downtime costs, simultaneous downtime practices, travel time impacts, and backlog policies. The dependent variables of interest include: overall machine availability, critical machine availability, worker utilization, cost of the maintenance function, and work order completion time. The second stage of the method is a knowledge engineering effort to codify what is learned from the stage one simulation experiments into a knowledge base for a Maintenance Supervisor Assistant System. A procedure for deriving expert system rules from simulation experiments is demonstrated. This is followed by validation of the knowledge base through re-employment of the simulation model.

Journal Title

Ieee Transactions on Systems Man and Cybernetics

Volume

24

Issue/Number

4

Publication Date

1-1-1994

Document Type

Article

Language

English

First Page

574

Last Page

593

WOS Identifier

WOS:A1994NR45000004

ISSN

0018-9472

Share

COinS