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Tuesday, April 21, 2020 | History

1 edition of Spreadsheet decision support model for training exercise material requirements planning found in the catalog.

Spreadsheet decision support model for training exercise material requirements planning

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Published by Naval Postgraduate School, Available from National Technical Information Service in Monterey, Calif, Springfield, Va .
Written in English


About the Edition

This thesis focuses on developing a spreadsheet decision support model that can be used by combat engineer platoon and company commanders in determining the material requirements and estimated costs associated with military training exercises. The model combines the business practice of Material Requirements Planning and the commercial spreadsheet software capabilities of Lotus 1-2-3 to calculate the requirements for food, consumable supplies, petroleum products, and major end items of equipment. The demand for these materials are directly dependent on the quantities of personnel and equipment items to participate in the training exercise. The model takes into consideration existing on hand and on order supplies and materials, and the anticipated effects of lead times, in determining the net requirement and time period an item must be placed on order to ensure its availability for the training exercise. The capability of this model to enhance planning through what if analysis and the investigation of variability and stochastic influence on the model is also explored. The add in program Crystal Ball is used to simulate the effects of lead time variability on the model.

The Physical Object
Paginationxiv, 157 p. ;
Number of Pages157
ID Numbers
Open LibraryOL25312147M
OCLC/WorldCa640493315


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Spreadsheet decision support model for training exercise material requirements planning by Arthur M. Tringali Download PDF EPUB FB2

The abstract provided by the Pentagon follows: This thesis focuses on developing a spreadsheet decision support model that can be used by combat engineer platoon and company Author: Arthur M.

Tringali. Thesis advisors, Paul J. Fields, Kevin R. GuePages: % time savings on forecasting, planning, and placing orders.; % reduction in stock-outs and corresponding revenue increase.; % reduction in excess inventory and 35%.

Planning Horizon: should be longer than longest cumulative leadtime for any product Time Bucket: units planning horizon is divided into Lot-for-Lot: batch sizes equal demands (other lot.

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