Object-Oriented Discrete Event Simulation Modeling Environment for Aerospace Vehicle Maintenance and Logistics Process

Abstract The operations and support (O&S) activities of aerospace vehicles involve the maintenance process to repair and replace broken parts and the logistics system which replenishes spares in the inventory. O&S cost represents the majority of the vehicle life cycle cost, and there are various research efforts focused on reducing it. Improvements to maintenance and logistics systems are expensive to perform in real life, so creating a modeling and simulation (M&S) environment capable of analyzing these systems allows for the testing of efficient changes. These systems operate on well-defined procedures and rules, and they can be modeled using discrete event simulation (DES). A DES environment, Virtual Environment for Operations and support Process Simulation (VE-OPS), is being developed for maintenance and logistics analysis using an object-oriented programming language. Generic class variables are defined for simulation objects such as vehicles and for maintenance and logistics process steps such as vehicle assessment and repairs. In the simulation, the vehicle and part objects are passed from one process to the next. This environment structure provides flexibility to tailor the model to specific applications while reducing the burden of recreating it for different projects, and by using an open source language such as Python, it can be shared with other researchers and freely deployed on multiple machines.

[1]  Michael Pidd,et al.  Computer Simulation in Management Science (3rd Edition) , 1998 .

[2]  Nicholaus A. Yager Models for Sortie Generation with Autonomic Logistics Capabilities , 2012 .

[3]  Craig C. Sherbrooke,et al.  Optimal Inventory Modeling of Systems: Multi-Echelon Techniques (INTL SERIES IN OPERATIONS RESEARCH & MANAGEMENT SCIENCE) , 1992 .

[4]  Balqies Sadoun Applied system simulation: a review study , 2000, Inf. Sci..

[5]  Kevin J. Healy,et al.  Introduction to SILK and Java-based simulation , 1998, WSC '98.

[6]  Konstantinos Iakovidis Comparing F-16 Maintenance Scheduling Philosophies , 2005 .

[7]  Jonathan Billington,et al.  Modelling personnel within a defence logistics maintenance process , 2008, SimuTools.

[8]  J. O. Miller,et al.  Multivariate analysis of a simulated prognostics and health management system for military aircraft maintenance , 2007 .

[9]  Keebom Kang,et al.  A readiness analysis for the Argentine Air Force and the Brazilian Navy A-4 fleet via consolidated logistics support , 2000, 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165).

[10]  J. Fowler,et al.  Supporting manufacturing with simulation: model design, development, and deployment , 1996, Proceedings Winter Simulation Conference.

[11]  John O. Miller,et al.  Logistics: impact of an autonomic logistics system (ALS) on the sortie generation process , 2003, WSC '03.

[12]  Haas,et al.  A Simulation Model to Investigate the Impact of Health and Usage Monitoring Systems (HUMS) on Helicopter Operations and Maintenance , 2002 .

[13]  W. W. Fisher Brief note: Markov process modelling of a maintenance system with spares, repair, cannibalization and manpower constraints , 1990 .

[14]  Raymond R. Hill,et al.  Applications of discrete event simulation modeling to military problems , 2001, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304).

[15]  Anastasios. Tsoutis An analysis of the Joint Strike Fighter autonomic logistics system , 2006 .

[16]  J. Muckstadt A Model for a Multi-Item, Multi-Echelon, Multi-Indenture Inventory System , 1973 .

[17]  Craig C. Sherbrooke An Evaluator for the Number of Operationally Ready Aircraft in a Multilevel Supply System , 1971, Oper. Res..

[18]  Stewart Robinson,et al.  Discrete-event simulation: from the pioneers to the present, what next? , 2005, J. Oper. Res. Soc..

[19]  Brian W. Hollocks,et al.  Forty years of discrete-event simulation—a personal reflection , 2006, J. Oper. Res. Soc..

[20]  Massoud Bazargan,et al.  A simulation approach to airline maintenance manpower planning , 2010, SummerSim.

[21]  Raymond R. Hill,et al.  Application of agent based modelling to aircraft maintenance manning and sortie generation , 2012, Simul. Model. Pract. Theory.

[22]  Dimitri N. Mavris,et al.  Comparative Assessment and Decision Support System for Strategic Military Airlift Capability , 2011 .

[23]  Craig C. Sherbrooke,et al.  VARI-METRIC: Improved Approximations for Multi-Indenture, Multi-Echelon Availability Models , 1986, Oper. Res..

[24]  Tony Gossard,et al.  Scalable integration model for objective resource capability evaluations (SIM-FORCE) , 1999, WSC '99.

[25]  Manuel D. Rossetti,et al.  Object-Oriented Multi-Indenture Multi-Echelon Spare Parts Supply Chain Simulation Model , 2006 .

[26]  Elise K. Beisecker,et al.  Framework for robust design: A forecast environment using intelligent discrete event simulation , 2012 .

[27]  V. V. S. Sarma,et al.  Queuing Models for Estimating Aircraft Fleet Availability , 1977, IEEE Transactions on Reliability.

[28]  Warren W. Fisher,et al.  Issues And Models In Maintenance Systems Incorporating Cannibalization: A Review , 1990 .

[29]  C. Richard Cassady,et al.  Evaluating the impact of cannibalization on fleet performance , 2007, Qual. Reliab. Eng. Int..

[30]  Raphael T. Haftka,et al.  Surrogate-based Analysis and Optimization , 2005 .

[31]  Raymond R. Hill,et al.  An exploration of the effects of maintenance manning on Combat Mission Readiness utilizing agent based modeling , 2012, Proceedings of the 2010 Winter Simulation Conference.

[32]  V. V. S. Sarma,et al.  Air Fleet and Facility Planning via Optimal Control Models , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[33]  Paul D Faas Simulation of Autonomic Logistics System (ALS) Sortie Generation , 2003 .

[34]  Michael E Malley A Methodology for Simulating the Joint Strike Fighter's (Jsf) Prognostics and Health Management System , 2012 .