Using military operational planning system data to drive reserve stocking decisions

A Data Mining Approach To Improve Military Demand Forecasting1

“…The approaches in [2,3] emphasise the utility of ADI models, which are established through market research, inputs from sales managers and advance (but imperfect) orders, to effectively realign manufacturing processes according to the ADI models. Existing works such as [4] have shown that military planning systems are a promising source of ADI models particularly when ROEM exist. However, the problem of generating ADI models for items with no ROEM has not received as much attention.…”

“…The work in [4] shows that a military operational planning system can be used to estimate the ADI models for an operation. Figure 1 shows the military demand modelling process.…”

“…A large body of work that deals with the advantages of ADI models in several aspects of supply chain management exists, such as [2,3,4]. The approaches in [2,3] emphasise the utility of ADI models, which are established through market research, inputs from sales managers and advance (but imperfect) orders, to effectively realign manufacturing processes according to the ADI models.…”

“…Figure 1 shows the military demand modelling process. The planning system allows a logistics planner to specify the force elements including platforms and personnel to be used in an operation, locations and routes in the operation, a schedule of activities including resource allocations, and the supply chains used to sustain the operation [4].…”

“…Such demand forecasts, referred to as Advanced Demand Information (ADI) models in the supply chain literature, have been shown to be beneficial in several aspects of supply chain management [2,3,4]. In a military context, ADI of supply items should be accurately modelled on the basis of their usage and Rate of Effort (ROE) by military platforms such as ships and aircraft.…”