A decision support methodology to support military asset and resource planning

References

• Ackoff, R. L. (1967). Management misinformation systems. Management science, 14(4), 147–156.
   Google Scholar
• Adamides, E., Stamboulis, Y., & Varelis, A. (2004). Model-based assessment of military aircraft engine maintenance systems. The Journal of the Operational Research Society, 55(9), 957–967.
   Web of Science ®Google Scholar
• Ahram, T. Z., Karwowski, W., Sala Diakanda, S., & Jiang, H. (2017). Modeling decision flow dynamics for the reliable assessment of human performance, crew size and total ownership cost. In V. G. Duffy (Ed.), Advances in applied digital human modeling and simulation (pp. 117–129). Springer.
   Google Scholar
• Amit, R., & Schoemaker, P. J. (1993). Strategic assets and organizational rent. Strategic Management Journal, 14(1), 33–46.
   Web of Science ®Google Scholar
• Andersen, D. F., & Emmerichs, R. M. (1982). Analyzing us military retirement policies. Simulation, 39(5), 151–158.
   Google Scholar
• Armenia, S., Centra, A., Cesarotti, V., De Angelis, A., & Retrosi, C. (2012). Military workforce dynamics and planning in the Italian airforce. In Proceedings of the 30th international conference of the system dynamics society, St. Gallen, Switzerland. (pp. 22–26).
   Google Scholar
• Barlas, Y. (1996). Formal aspects of model validity and validation in system dynamics. System Dynamics Review: The Journal of the System Dynamics Society, 12(3), 183–210.
   Web of Science ®Google Scholar
• Barlas, Y. (2016). Credibility, validity and testing of dynamic simulation models. In International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Lisbon, Portugal. (pp. 3–15). Springer.
   Google Scholar
• Bernstein, S. (2017). Methodology for interoperability-enabled adaptable strategic fleet mix planning [ Ph.D. thesis]. Georgia Institute of Technology.
   Google Scholar
• Bhargava, H. K. (1993). Fleet Mix Planning in the U.S. Coast Guard: Issues and Challenges for DSS. In C. W. Holsapple & A. B. Whinston (Eds.), Recent Developments in Decision Support Systems. NATO ASI Series Vol. 101. Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-662-02952-7_24
   Google Scholar
• Bisschop, J., & Meeraus, A. (1982). On the development of a general algebraic modeling system in a strategic planning environment. In J. L. Goffin & J. M. Rousseau (Eds.), Applications (pp. 1–29). Springer.
   Google Scholar
• Bowers, J., Elsawah, S., & Ryan, M. (2017). Reusable modules to support rapid model building: A case study of defence force design. In INCOSE international symposium (Vol. 27, pp. 1539–1553). Wiley Online Library.
   Google Scholar
• Chakladar, S. (2016). A model driven engineering framework for simulation experiment management [ Ph.D. thesis]. Auburn University.
   Google Scholar
• Cosenz, F., & Noto, G. (2016). Applying system dynamics modelling to strategic management: A literature review. Systems Research and Behavioral Science, 33(6), 703–741.
   Web of Science ®Google Scholar
• Coyle, R. G. (1985). The use of optimization methods for policy design in a system dynamics model. System Dynamics Review, 1(1), 81–91.
   Web of Science ®Google Scholar
• Coyle, R. G. (1992). A system dynamics model of aircraft carrier survivability. System Dynamics Review, 8(3), 193–212.
   Web of Science ®Google Scholar
• Coyle, R., & Gardiner, P. A. (1991). A system dynamics model of submarine operations and maintenance schedules. The Journal of the Operational Research Society, 42(6), 453–462.
   Web of Science ®Google Scholar
• Damle, P. H. (2003). A system dynamics model of the integration of new technologies for ship systems. [ Ph.D. thesis]. Virginia Tech.
   Google Scholar
• Department of Defence. (2016). The 2016 defence white paper. Technical Report. https://www.defence.gov.au/whitepaper/Docs/2016-Defence-White-Paper.pdf
   Google Scholar
• Ding, Z., Gong, W., Li, S., & Wu, Z. (2018). System dynamics versus agent-based modeling: A review of complexity simulation in construction waste management. Sustainability, 10(7), 2484.
   Web of Science ®Google Scholar
• D’Souza, K., Bayrak, A. E., Kang, N., Wang, H., Altin, B., Barton, K., Hu, J., Papalambros, P., Epureanu, B. I., & Gerth, R. (2016). An integrated design approach for evaluating the effectiveness and cost of a fleet. The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, 13(4), 381–397.
   Google Scholar
• Edwards, J. S. (1983). A survey of manpower planning models and their application. The Journal of the Operational Research Society, 34(11), 1031–1040.
   PubMed Web of Science ®Google Scholar
• Eisler, C., & Allen, D. (2012). A Strategic Simulation Tool for Capability-based Joint Force Structure Analysis. In ICORES 2012 - Proceedings of the 1st International Conference on Operations Research and Enterprise Systems, Vilamoura, Algarve, Portugal, 4-6 February, (pp. 21–30). SciTePress
   Google Scholar
• Eisler, C., Wesolkowski, S., & Daniel, T. W. (2014). The Tyche and Safe Models: Comparing Two Military Force Structure Analysis Simulations. In 28th European Conference on Modelling and Simulation, ECMS 2014, Brescia, Italy, May 27-30, (pp. 625–632). European Council for Modeling and Simulation.
   Google Scholar
• Elsawah, S., Pierce, S. A., Hamilton, S. H., Van Delden, H., Haase, D., Elmahdi, A., & Jakeman, A. J. (2017). An overview of the system dynamics process for integrated modelling of socio-ecological systems: Lessons on good modelling practice from five case studies. Environmental Modelling & Software, 93, 127–145. https://doi.org/10.1016/j.envsoft.2017.03.001
   Web of Science ®Google Scholar
• Elsawah, S., Ryan, M. J., Gordon, L., & Harris, R. (2018). Model-based assessment of the submarine support system. In INCOSE international symposium (Vol. 28, pp. 392–406). Wiley Online Library.
   Google Scholar
• Fan, C. Y., Fan, P. S., & Chang, P. C. (2010). A system dynamics modeling approach for a military weapon maintenance supply system. International Journal of Production Economics, 128(2), 457–469.
   Web of Science ®Google Scholar
• Garza, A., Kumara, S., Martin, J. D., & Finke, D. A. (2014). System dynamics based manpower modeling. In IIE Annual Conference Proceedings, Montreal, Canada. (p. 3683). Institute of Industrial and Systems Engineers (IISE).
   Google Scholar
• Gault, F., Hamilton, K., Hoffman, R., & McInnis, B. (1987). The design approach to socio-economic modelling. Futures, 19(1), 3–25.
   Web of Science ®Google Scholar
• Goldrick, J. (2016). Just how long can submarines remain operational? Technical Report ASPI, Australian Strategic Policy Institute. https://www.aspistrategist.org.au/just-how-long-can-submarines-remain-operational/
   Google Scholar
• Größler, A. (2007). A dynamic view on strategic resources and capabilities applied to an example from the manufacturing strategy literature. Journal of Manufacturing Technology Management, 18(3), 250–266.
   Google Scholar
• Größler, A., Bivona, E., & Li, F. (2015). Evaluation of asset replacement strategies considering economic cycles: Lessons from the machinery rental business. International Journal of Modelling in Operations Management, 5(1), 52–71.
   Google Scholar
• Hall, J. W., Le Masurier, J. W., Baker Langman, E. A., Davis, J. P., & Taylor, C. A. (2004). A decision-support methodology for performance-based asset management. Civil Engineering and Environmental Systems, 21(1), 51–75.
   Web of Science ®Google Scholar
• Hellyer, M. (2018). Special report: Thinking through submarine transition. Technical Report ASPI, Australian Strategic Policy Institute. https://www.aspi.org.au/report/thinking-through-submarine-transition
   Google Scholar
• Hill, R. R., Miller, J. O., & McIntyre, G. A. (2001). Applications of discrete event simulation modeling to military problems. In Proceeding of the 2001 Winter Simulation Conference (Cat. No. 01CH37304), Arlington, VA, USA. (pp. 780–788). IEEE volume 1.
   Google Scholar
• Hill, R. R., & Tolk, A. (2017). A history of military computer simulation. In W. K. V. Chan, A. D’. Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, E. Page (Eds.), Advances in modeling and simulation (pp. 277–299). Springer.
   Google Scholar
• Hudson, K., Elsawah, S., & Ryan, M. (2017). A prototype simulation model for army logistics training. In INCOSE international symposium (Vol. 27, pp. 1520–1538). Wiley Online Library.
   Google Scholar
• ISO 55000. (2014) . Asset management: Overview, principles and terminology. Standard International Organization for Standardization.
   Google Scholar
• Jalalvand, F., Turan, H. H., Elsawah, S., & Ryan, M. J. (2020). A multi-objective risk-averse workforce planning under uncertainty. In 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia. (pp. 1626–1633). IEEE.
   Google Scholar
• Jiang, H. (2013). A system dynamics model for manpower and technology implementation trade-off and cost estimation [ Ph.D. thesis]. University of Central Florida.
   Google Scholar
• Jnitova, V., ElSawah, S., & Ryan, M. (2017). Towards a modular system dynamics approach for modelling military workforce planning problems. In INCOSE international symposium (Vol. 27, pp. 704–720). Wiley Online Library.
   Google Scholar
• Khasnabis, S., Alsaidi, E., & Ellis, R. D. (2002). Optimal allocation of resources to meet transit fleet requirements. Journal of Transportation Engineering, 128(6), 509–518.
   Google Scholar
• Linard, K. T., Blake, M., & Paterson, D. (1999). Optimising workforce structure the system dynamics of employment planning. In Proceedings of the 1999 systems dynamics conference. NY: System Dynamics Society Albany.
   Google Scholar
• Linnéusson, G., Ng, A. H., & Aslam, T. (2018). Quantitative analysis of a conceptual system dynamics maintenance performance model using multi-objective optimisation. Journal of Simulation, 12(2), 171–189.
   Web of Science ®Google Scholar
• Markham, J. Y. (2008). Framing user confidence in a system dynamics model: The case of a workforce planning problem in the New Zealand army [ Ph.D. thesis].
   Google Scholar
• Mathew, T. V., Khasnabis, S., & Mishra, S. (2010). Optimal resource allocation among transit agencies for fleet management. Transportation Research Part A: Policy and Practice, 44(6), 418–432.
   Web of Science ®Google Scholar
• McLucas, A., Lyell, D., & Rose, B. (2006). Defence capability management: Introduction into service of multi-role helicopters. In Proceedings of the 24th International Conference of the System Dynamics Society, Nijmegen, Netherlands. (pp. 92–110).
   Google Scholar
• Mishra, S., Sharma, S., Khasnabis, S., & Mathew, T. V. (2013). Preserving an aging transit fleet: An optimal resource allocation perspective based on service life and constrained budget. Transportation Research Part A: Policy and Practice, 47, 111–123. https://doi.org/10.1016/j.tra.2012.10.029
   Web of Science ®Google Scholar
• New, C. C. (1975). Transport fleet planning for multi-period operations. The Journal of the Operational Research Society, 26(1), 151–166.
   Google Scholar
• Onat, N. C., Kucukvar, M., Tatari, O., & Egilmez, G. (2016). Integration of system dynamics approach toward deepening and broadening the life cycle sustainability assessment framework: A case for electric vehicles. The International Journal of Life Cycle Assessment, 21(7), 1009–1034.
   Web of Science ®Google Scholar
• Pinjala, S. K., Pintelon, L., & Vereecke, A. (2006). An empirical investigation on the relationship between business and maintenance strategies. International Journal of Production Economics, 104(1), 214–229.
   Web of Science ®Google Scholar
• Railsback, S. F., & Grimm, V. (2019). Agent-based and individual-based modeling: A practical introduction. Princeton university press.
   Google Scholar
• Simms, B., Lamarre, B., Jardine, A., & Boudreau, A. (1984). Optimal buy, operate and sell policies for fleets of vehicles. European Journal of Operational Research, 15(2), 183–195.
   Web of Science ®Google Scholar
• Snyder, L. V. (2006). Facility location under uncertainty: A review. IIE Transactions, 38(7), 547–564.
   Web of Science ®Google Scholar
• Sterman, J. (2010). Business dynamics. Irwin/McGraw-Hill.
   Google Scholar
• Swanson, J. (2002). Business dynamics—systems thinking and modeling for a complex world. The Journal of the Operational Research Society, 53(4), 472–473.
   Web of Science ®Google Scholar
• Thomas, D. A., Kwinn, B. T., McGinnis, M., Bowman, B. A., & Entner, M. D. (1997). The us army enlisted personnel system: A system dynamics approach. 1997 IEEE International Conference on Systems, Man, and Cybernetics Computational Cybernetics and Simulation, Orlando, FL, USA. IEEE volume 2, 1263–1267.
   Google Scholar
• Turan, H. H., Elsawah, S., & Ryan, M. J. (2019). Simulation-based analysis of military workforce planning strategies. In Proceedings of the 2019 International Conference on Management Science and Industrial Engineering, Phuket, Thailand. (pp. 68–75).
   Google Scholar
• Turan, H. H., Elsawah, S., & Ryan, M. J. (2020). A long-term fleet renewal problem under uncertainty: A simulation-based optimization approach. Expert Systems with Applications, 145, 113158. https://doi.org/10.1016/j.eswa.2019.113158
   Web of Science ®Google Scholar
• Van Looy, A., & Shafagatova, A. (2016). Business process performance measurement: A structured literature review of indicators, measures and metrics. SpringerPlus, 5(1), 1–24.
   PubMedGoogle Scholar
• Warren, K. (2002). Competitive strategy dynamics. Wiley.
   Google Scholar
• Warren, K. (2005). Improving strategic management with the fundamental principles of system dynamics. System Dynamics Review: The Journal of the System Dynamics Society, 21(4), 329–350.
   Web of Science ®Google Scholar
• Wesolkowski, S., & Eisler, C. (2014). Capability-based models for force structure computation and evaluation. In NATO Workshop on Integrating Modelling & Simulation in the Defence Acquisition Lifecycle and Military Training Curriculum, Washington, DC, USA.
   Google Scholar