Ammunition deterioration during storage has considerable economic consequences. Thus, a reliable prediction model for the ammunition deterioration rate is necessary for long-term procurement and maintenance planning. The purpose of this paper is to formulate a prediction model for ammunition deterioration rates in terms of concurrent characteristics such as depot condition and vendor information using a random effects growth curve analysis. The resulting prediction model can be used to determine the appropriate time for reorder or renovation of ammunition before the quality reaches unacceptable levels. A two-stage analysis is used to estimate parameters involved in the prediction model. Necessary estimation methods are discussed and an example is given to illustrate the procedure.
All Science Journal Classification (ASJC) codes
- Safety, Risk, Reliability and Quality
- Strategy and Management
- Management Science and Operations Research
- Industrial and Manufacturing Engineering