In this paper we consider the problem of preventive maintenance of a failure prone system, for which a number of maintenance actions has to be executed on a regular basis. For each action i the frequency is prescribed. Between consecutive actions of type i there is an integer interspacing of T(i) time units. The set-up costs are activity dependent. The set-up structure is supposed to be tree-like and additive over the set-up nodes involved in the action or group of actions. Hence, for different activities with common setup nodes joint execution leads to set-up costs reduction. The question is how the actions should be arranged in time in order to exploit this set-up costs reduction effect maximally. It is shown that the time averaged set-up costs are minimal if a main peak clustering property is satisfied: all maintenance actions are combined at one moment in time. Intuitively, this property is appealing, but it asks for some interesting and non-trivial applications of number theory and inductive reasoning, to prove it.
[1]
van Gerhard Christiaan Dijkhuizen.
Maintenance meets production: On the Ups and Downs of a Repairable System
,
1998
.
[2]
Ilya B. Gertsbakh,et al.
Models of Preventive Maintenance
,
1977
.
[3]
James A. Anderson,et al.
Number Theory with Applications
,
1996
.
[4]
J. F. White.
Models of Preventive Maintenance
,
1978
.
[5]
G. V. Dijkhuizen,et al.
Optimal clustering of frequency-constrained maintenance jobs with shared set-ups
,
1997
.
[6]
中嶋 清一,et al.
Introduction to TPM : total productive maintenance
,
1988
.
[7]
Rommert Dekker,et al.
Preventive maintenance at opportunities of restricted duration
,
1991
.
[8]
D. Sculli,et al.
Tramcar Maintenance
,
1979
.