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Multi-Mission Selective Maintenance Decisions Task BSIT0204

Multi-Mission Selective Maintenance Decisions Task BSIT0204. Principal Investigator C. Richard Cassady, Ph.D., P.E. Co-Principal Investigator Heather Nachtmann, Ph.D. Graduate Research Assistants Kellie Schneider Alejandro Mendoza Undergraduate Research Assistants Chase Rainwater

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Multi-Mission Selective Maintenance Decisions Task BSIT0204

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  1. Multi-Mission Selective Maintenance DecisionsTask BSIT0204 Principal Investigator C. Richard Cassady, Ph.D., P.E. Co-Principal Investigator Heather Nachtmann, Ph.D. Graduate Research Assistants Kellie Schneider Alejandro Mendoza Undergraduate Research Assistants Chase Rainwater Mauricio Carrasco ASC PA 03-2423 9/12/03

  2. Project Motivation • dependence of military organizations on performance of repairable equipment • limitations of existing research in maintenance planning • single-system focus • no regard for mission profile • prevents consideration of maintenance performance during scheduled downtime • prevents consideration of delaying maintenance to perform a mission (or vice versa) • limitation of existing research in selective maintenance • single-mission focus

  3. Project Objective and Activities • project objective • to develop a modeling-based methodology for managing selective maintenance decisions when the planning horizon is more than one future mission • project activities • system definition • multi-mission selective maintenance modeling • multi-mission solution procedures • numerical analysis • documentation

  4. Baseline Scenario – System Definition • single system with a single component • system experiences failures according to a power law process • system undertakes a series of m identical missions • maintenance is performed only during breaks between missions

  5. Baseline Scenario – Maintenance Actions • preventive maintenance (PM) • system is unable to undertake the next δ1 missions • PM is imperfect • Kijima Type 1 repair policy • overhaul • system is unable to undertake the next δ2 missions • overhaul actions restore the system to “good as new” • renewal

  6. Baseline Scenario – Performance Metrics • performance metrics • mission m is either “go” or “no go” • number of failures during mission m

  7. Baseline Scenario – Maintenance Decisions • maintenance decisions • how long is a PM action? • how often do we perform PM? • how long is an overhaul action? • how often do we perform an overhaul?

  8. Baseline Scenario – Optimization Models • maximize the average number of “go” missions such that the average number of failures is less than or equal to some maximum value • minimize the average number of failures such that the average number of “go” missions is greater than or equal to some minimum value

  9. Future Work • multiple systems with a single component • single system with multiple components • multiple systems with multiple components

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