dc.description.abstract | Abstract
The optimization of military projects could affect directly military personnel, weapons equipment and the overall performance of the country’s defense. Since 1999, troop levels have been adjusted and reorganized to meet the project which has caused difficulty in maintaining all units of the military forces, and also affected the overall working of the force.
The Government has cut budgets due to the global economic recession over recent years, hence every year the defense budget gets tightened. Moreover, the cost of replacement of old armaments makes the investment budget available for military projects suffer a significant reduction.
In order to maintain the normal operation of the military forces, and to make effective use of the budget, the research will focus on implementing military projects, taking the annual budget, military bases to be refurbished, renovation list from previous years and renovation restrictions into consideration
This research will use optimization theory and mathematical programming application infrastructure software (LINGO 7.0), relying on fast computers, the military capability of existing facilities information, to write a set of rapid, nationwide, effective, objective programming instructions. National army troops effectively belong to a huge and complex camp, so effective management of a refurbishment program is necessary to enable the camp commander to ensure that the camp functions effectively.
This research based on combined logistics school uses the data of the existing inventory of housing, annual budget allowance and the practicality of implementation to evaluate the weighting of investment benefits according to the type of camp and the refurbishment of the area and budget. We will establish an optimization model to achieve the greatest benefits of the renovation. Program analysis will be used to examine changes affecting key factors (such as budget, importance, renovation restrictions, etc.), in order to facilitate a timely review of amendments to the program models.
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