Validating and improving existing JLOTS throughput models with the use of historical weather data
Workman, Harold Thomas.
Boger, Dan C.
Schrady, David A.
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The practice of Joint Logistics Over the Shore (JLOTS), whereby strategic sealift assets are off-loaded without the benefit of fixed port facilities has emerged as one viable technique which could alleviate certain situational sustainment problems. The ability to successfully conduct JLOTS operations, however, is presently limited by several factors, the most significant of which is the ependency of JLOTS operations upon favorable wind, weather, and sea state conditions. Presently, the few analytical JLOTS throughput models in existence have very limited incorporation of environmental parameters. With this in mind, this thesis attempts to both validate and improve the most widely acclaimed JLOTS throughput model, the Joint Over the shore Transportation Estimator (JOTE) developed by the Logistics Management Institute (LMI). The validation centers upon identifying the demands placed upon the user when employing JOTE as well as assessing the validity of its computational methodology. As a means of improving JOTE and rendering it more viable as a planning tool, this thesis introduces a supplement entitled the SEA_STATE_CALC package which facilitates both site and time specificity in the most crucial input parameters to the JOTE model. By helping to identify time periods in which sea state conditions threaten JLOTS operations, the SEA_STATE_CALC package services the planning needs of its true client, the JLOTS commander