Selective maintenance modeling for industrial systems

Cassady, C. Richard; Pohl, Edward A.; Murdock, William

doi:10.1108/13552510110397412

Cited by 160 publications

(67 citation statements)

References 11 publications

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“…Cassady et al [3,4] extend the work of Rice et al [16] in several ways. First, a more complex system is defined.…”

Section: Selective Maintenance Researchmentioning

confidence: 75%

Fleet-Level Selective Maintenance and Aircraft Scheduling

Cassady¹,

Mason²,

Ormon³

et al. 2003

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Information , 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE (DD-MM-YYYY)2. REPORT TYPE 3. DATES COVERED (From -To) ABSTRACTThe objective of this research is to investigate the use of a mathematical modeling methodology for integrating maintenance planning and sortie scheduling issues. First, the relevant research literature for both selective maintenance and fleet assignment is presented. Next, background research is presented, which extends a current selective maintenance model to incorporate sets of systems. Here a selective maintenance model for a set of systems that must execute a set of missions with system maintenance performed only between missions is defined. Finally, we formulate a more complex optimization model that addresses a more dynamic mission profile. Specifically, missions start and end at different times, and maintenance and scheduling decisions are made over a series of time "buckets." We consider a planning horizon such that each system in the set returns from its previous mission and begins its future mission; however, no system returns from its future before the end of the planning horizon. times; therefore, a maintenance manager must decide how to allocate the available resources. This allocation falls within the domain of selective maintenance. Selective maintenance is defined as the process of identifying the subset of maintenance activities to perform from a set of desired maintenance actions. Although the modeling of repairable equipment has been studied extensively, traditional studies tend to focus on a single system and ignore the mission profile of the system. For the United States Air Force (USAF), these limitations prevent current models from providing meaningful guidance relative to maintenance planning and sortie scheduling.The objective of this project is to investigate the use of a mathematical modeling methodology for integrating maintenance planning and sortie scheduling issues. First, the relevant research literature for both selective maintenance and fleet assignment is presented. The selective maintenance literature is limited in that current models only consider a single system, and most of the fleet assignment literature is motivated by the com...

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“…Cassady et al [3,4] extend the work of Rice et al [16] in several ways. First, a more complex system is defined.…”

Section: Selective Maintenance Researchmentioning

confidence: 75%

Fleet-Level Selective Maintenance and Aircraft Scheduling

Cassady¹,

Mason²,

Ormon³

et al. 2003

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“…Cassady et al [1,2] extend the work of Rice et al [9] in several ways. First, more complex systems are analyzed.…”

Section: Research Literature Reviewmentioning

confidence: 99%

Multi-Mission Selective Maintenance Decisions

Cassady¹,

Nachtmann²,

Schneider³

et al. 2004

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing date sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS.

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“…Cuando un sistema complejo falla, las consecuencias pueden ser dramáticas; por ejemplo, pueden ocurrir pérdidas económicas sensibles, afectación de la salud y bienestar de seres humanos y daños serios al ambiente [2], [3].…”

Section: Introductionunclassified