Improving the Efficiency of Military Vehicle Outload and Deployment
DOI:
https://doi.org/10.37266/ISER.2019v7i2.pp76-84Keywords:
Discrete-Event Simulation, HAZMAT, Vehicle Deployment, Process OptimizationAbstract
The United States military must maintain the ability to rapidly deploy, world-wide, under severe time constraints. As a result, units and organizations have developed standardized, documented processes and procedures to quickly deploy personnel, equipment, and supplies. This research examines a typical military vehicle outload process, models the process with a discrete-event simulation, and identifies opportunities to increase process efficiency. The recommended improvements are incorporated within the simulation to identify the impacts of the changes. Model analysis reveals that an increase in a critical resource (i.e. vehicle inspection teams) can significantly reduce the time required to process a 350-vehicle fleet. Additionally, automating the hazardous material (HAZMAT) documentation and vehicle weight and center of balance computations resulted in time savings, although less significant. It is possible to implement these two automated activities across all installations, further improving deployment operations. With only minor modifications, the presented model can be adjusted to replicate other installation deployment processes and can have significant impacts on how the U.S. Army and U.S. Air Force deploy equipment.References
Department of the Air Force. (2018). Preparing Hazardous Materials for Military Air Shipments (AFMAN 24-204). Washington, DC.
Harrell, C., Bowden, R., & Ghosh, B. K. (2000). Simulation using Promodel. McGraw-Hill Higher Education.
Harrower, P. (2013, October 18). New system helps Porters cut load times. Retrieved from: https://www.amc.af.mil/News/Article-Display/Article/787071/new-system-helps-porters-cut-load-times/
Intercomp. (2016, April 21). Retrieved from https://www.youtube.com/watch?v=qac8u5r3dV8&feature=youtu.be
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Pernin, C. G., Best, K. L., Boyer, M. E., Eckhause, J. M., Gordon IV, J., Madden, D., ... & Wong, J. P. (2016). Enabling the Global Response Force: Access Strategies for the 82nd Airborne Division (No. RR-1161-A). RAND Arroyo Center Santa Monica United States.
Sargent, R. G. (2013). Verification and validation of simulation models. Journal of Simulation, 7(1), 12-24.
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Harrell, C., Bowden, R., & Ghosh, B. K. (2000). Simulation using Promodel. McGraw-Hill Higher Education.
Harrower, P. (2013, October 18). New system helps Porters cut load times. Retrieved from: https://www.amc.af.mil/News/Article-Display/Article/787071/new-system-helps-porters-cut-load-times/
Intercomp. (2016, April 21). Retrieved from https://www.youtube.com/watch?v=qac8u5r3dV8&feature=youtu.be
Larsen, E. (2013, August 13). US Army uses DACMS to accelerate equipment retrograde in Afghanistan. Retrieved from: https://www.army-technology.com/news/newsusarmy-accelerate-equipment-retrograde/
National Transportation Safety Board (2015), Steep Climb and Uncontrolled Descent During Takeoff National Air Cargo, Inc., dba National Airlines Boeing 747 400 BCF, N949CA, Accident Report, NTSB/AAR-15/01, Bagram, Afghanistan.
Pernin, C. G., Best, K. L., Boyer, M. E., Eckhause, J. M., Gordon IV, J., Madden, D., ... & Wong, J. P. (2016). Enabling the Global Response Force: Access Strategies for the 82nd Airborne Division (No. RR-1161-A). RAND Arroyo Center Santa Monica United States.
Sargent, R. G. (2013). Verification and validation of simulation models. Journal of Simulation, 7(1), 12-24.
Spivey & Sawicki. (2017). FORSCOM Assessment of 3/82 DRE, 24-27 July 2017.
Published
2019-12-30
How to Cite
Herbert, S., Krueger, C., Mittal, V., & Lesinski, G. (2019). Improving the Efficiency of Military Vehicle Outload and Deployment. Industrial and Systems Engineering Review, 7(2), 76-84. https://doi.org/10.37266/ISER.2019v7i2.pp76-84
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