Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/1954
Title: Standard Port-Visit Cost Forecasting Model for US Navy Husbanding Contracts
Authors: Michael Marquez
Richard Rayos
John Mercado
Keywords: Husbanding Services
Standard Port-Visit Cost Forecasting Model
Husbanding Service Provider
Port-Visit Cost Reports
LOGREQ
CRAFT
WWCRAFT
LogSSR
LOGCOP
COMFISCS
FISCs
CLASSRON
TYCOMS
NAVSUP
Issue Date: 1-Dec-2009
Publisher: Acquisition Research Program
Citation: Published--Unlimited Distribution
Series/Report no.: Husbanding Services
NPS-LM-09-121
Abstract: Husbanding services are crucial elements of a port visit. In support of mission objectives, combatant commanding officers and sealift masters rely on contractors to act on the US Navy's behalf in coordinating the delivery of supplies or performance of services. Through the years, the cost of port services around the world has increased in various magnitudes. However, the US Navy's ability to track and analyze port-visit costs changes remains rudimentary. Current systems lack the functionality needed by the stakeholders to effectively and efficiently forecast port-visit costs. The researchers developed a Web-based modularized application that stores and displays invoices, generates reports and, more importantly, forecasts future port-visit costs using the standard port-visit cost forecasting model for husbanding contracts. The forecasting function of the application provides two predictive methods, namely confidence interval estimator and exponential smoothing. The analysis clearly shows that low requirement variability improves the reliability of the interval, while high frequency of port-visits increases the accuracy of the exponential smoothing results. The capabilities of the application provide stakeholders with a valuable tool to analyze port-visit requirements and costs trends
Description: Logistics Management / Graduate Student Research
URI: https://dair.nps.edu/handle/123456789/1954
Appears in Collections:NPS Graduate Student Theses & Reports

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