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THE TRANSPORTATION SYSTEM CAPABILITY MODEL (TRANSCAP): R SCe'ivE0
A MIXED LANGUAGE DEVELOPMENT APPROACH FOR
AN ARMY DEPLOYMENT SIMULATION JUL 10 2000
Richard J. Love, James F. Burke, Jr., Charles M. Macal, Dawn L. Howard, and Jill Jackson
Argonne National Laboratory
Decision and Information Sciences Division
9700 S. Cass Ave. Bldg. 900
Argonne, IL 60439
mixed language, inter-process communication,
class framework, discrete-event simulation
The Transportation System Capability
(TRANSCAP) model is a discrete-event simula-
tion model designed to simulate deployment of
forces from army bases - the first step of an
army deployment. Argonne National Laboratory
(Argonne) collaborated with the Military Trans-
portation Management Command Transportation
Engineering Agency (MTMCTEA) to develop
TRANSCAP. The model, which dynamically
simulates the loading and transport of military
cargo from an installation, will be used to plan
real-world operations and to train army trans-
portation specialists. TRANSCAP was designed
with pre- and post-processing modules (devel-
oped in Java separately from the discrete-event
simulation module, which was developed in
MODSIM III). Multiple programming languages
were used to meet the needs of this simulation.
This paper highlights the function of each mod-
ule, describes how the modules interact, identi-
fies the benefits of the separation, and describes
the programming languages used to develop the
modules. The paper also discusses a reusable
deployment simulation framework of classes that
implements the Army Modeling and Simulation
Office's (AMSO's) standard Transportation
Class Hierarchy. This framework has proved
flexible enough to be reused in other deployment
During a military deployment, both people
and equipment are transported from a fort to a
tactical assembly area and then to the final desti-
nation: the forward line of troops. Such "fort-to-
foxhole" deployments are not practiced often
because of the cost; when practiced, they are
rarely conducted under realistic circumstances.
As a result, the deployment analysts are not fully
aware of the constraints and complexities of a
To address this issue, the MTMCTEA and
others are developing simulations to analyze,
plan, train for, and execute deployments. New
simulation models and technologies are good
investments because simulating deployments on
a computer is more efficient and cost effective
than testing them in the real world.
MTMCTEA collaborated with Argonne and
others to develop a suite of four force projection
models (FPMs). The suite is part of a strategic
vision for simulating most of the military de-
ployment process. The Enhanced Logistics Intra-
theater Support Tool (ELIST) simulates the in-
frastructure between ports and forts. The Port
Simulation (PORTSIM) Model and the Coastal
Integrated Throughput models simulate through-
put at first-class, commercial ports and austere
ports. The TRANSCAP model simulates instal-
lation transportation operations, computes time-
phased outloading capability, compares com-
puted capability to outloading requirements, and
identifies system and infrastructure constraints
and installation-specific force departure profiles.
Because it simulates the first step of a military
deployment, TRANSCAP's main role will be to
present these departure profiles to ELIST for
simulation of the next leg, which is movement to
the port. Not only is TRANSCAP a component
of the FPM suite, but it can be used for fort in-
frastructure analysis, force deployment analysis,
practice, and training.
This paper discusses the components and
function of TRANSCAP's six modules, the
benefits of separating the modules, and the three
programming languages used to develop the
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Love, R. J.; Burke, J. F., Jr.; Macal, C. M.; Howard, D. L. & Jackson, J. The transportation system capability model (TRANSCAP) : a mixed language development approach for an army deployment simulation., article, June 2, 2000; Illinois. (https://digital.library.unt.edu/ark:/67531/metadc711362/m1/1/: accessed March 20, 2019), University of North Texas Libraries, Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.