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Revising models of maintenance and inspection
Formal methods of updating delay-time models of industrial inspection practice associated with maintenance are proposed. Delay-time models are derived from subjective estimates and consequently are not guaranteed to model the status quo, i.e., the observed failure characteristics and downtime, say o...
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Published in: | International journal of production economics 1992-03, Vol.24 (3), p.227-234 |
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Language: | English |
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cites | cdi_FETCH-LOGICAL-c427t-1d7129b968a45e570b44a530f916b7ff7c6d55cf56727a4f37e78ebc8856f8273 |
container_end_page | 234 |
container_issue | 3 |
container_start_page | 227 |
container_title | International journal of production economics |
container_volume | 24 |
creator | Christer, A.H. Redmond, D.F. |
description | Formal methods of updating delay-time models of industrial inspection practice associated with maintenance are proposed. Delay-time models are derived from subjective estimates and consequently are not guaranteed to model the status quo, i.e., the observed failure characteristics and downtime, say of a system under an existing inspection practice. The existence and uniqueness of solutions when updating the prior distribution of delay-time using a linear transform are discussed. The scope for updating the prior model through modifying the perceived degree of perfectness of inspection is also addressed. Criteria for selecting an updating procedure in the case where options are not unique are proposed, and the decision consequences of the change in the optimum inspection interval commented on. A case study is used to highlight the problem and to demonstrate the methods suggested. |
doi_str_mv | 10.1016/0925-5273(92)90134-S |
format | article |
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Delay-time models are derived from subjective estimates and consequently are not guaranteed to model the status quo, i.e., the observed failure characteristics and downtime, say of a system under an existing inspection practice. The existence and uniqueness of solutions when updating the prior distribution of delay-time using a linear transform are discussed. The scope for updating the prior model through modifying the perceived degree of perfectness of inspection is also addressed. Criteria for selecting an updating procedure in the case where options are not unique are proposed, and the decision consequences of the change in the optimum inspection interval commented on. 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Delay-time models are derived from subjective estimates and consequently are not guaranteed to model the status quo, i.e., the observed failure characteristics and downtime, say of a system under an existing inspection practice. The existence and uniqueness of solutions when updating the prior distribution of delay-time using a linear transform are discussed. The scope for updating the prior model through modifying the perceived degree of perfectness of inspection is also addressed. Criteria for selecting an updating procedure in the case where options are not unique are proposed, and the decision consequences of the change in the optimum inspection interval commented on. A case study is used to highlight the problem and to demonstrate the methods suggested.</description><subject>Applied sciences</subject><subject>Breakdowns</subject><subject>Decision analysis</subject><subject>Downtime</subject><subject>Exact sciences and technology</subject><subject>Inspections</subject><subject>Maintenance management</subject><subject>Mathematical models</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>Reliability theory. 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Management science</topic><topic>Reliability theory. 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Delay-time models are derived from subjective estimates and consequently are not guaranteed to model the status quo, i.e., the observed failure characteristics and downtime, say of a system under an existing inspection practice. The existence and uniqueness of solutions when updating the prior distribution of delay-time using a linear transform are discussed. The scope for updating the prior model through modifying the perceived degree of perfectness of inspection is also addressed. Criteria for selecting an updating procedure in the case where options are not unique are proposed, and the decision consequences of the change in the optimum inspection interval commented on. A case study is used to highlight the problem and to demonstrate the methods suggested.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/0925-5273(92)90134-S</doi><tpages>8</tpages></addata></record> |
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language | eng |
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source | Backfile Package - Business, Management and Accounting (Legacy) [YBT]; Backfile Package - Decision Sciences [YDT] |
subjects | Applied sciences Breakdowns Decision analysis Downtime Exact sciences and technology Inspections Maintenance management Mathematical models Operational research and scientific management Operational research. Management science Reliability theory. Replacement problems |
title | Revising models of maintenance and inspection |
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