Abstract: A computerized automated demand-based parts delivery management system and method is disclosed. Parts for use in a production facility are received at a warehouse and housed in storage inventory areas such as trailers parked in a yard. Data about the parts in storage inventory areas and their locations as well as an inventory of parts in the warehouse are stored in a database. A “demand pegging” operation is performed by viewing current delivery inventory levels within the warehouse and applying them to production demand data to determine when parts will be depleted from delivery inventory areas. The operation further identifies storage inventory areas that have the needed parts. Process times for transporting parts between locations are considered in determining task times for transporting parts from storage inventory areas to delivery inventory areas so parts are replenished in advance of the deplete time determined by the demand pegging operation.

Abstract: A computerized system and method for managing parts shortages is disclosed. The computerized system and method analyzes inventory and production demand data over a period of time to whether the parts in inventory are sufficient to meet production demand. The projections allow a logistics provider to determine when parts shortages are likely to occur and the nature of the potential shortages. Information about the type and time of potential parts shortages allow the logistics provider to take action to prevent shortages entirely or minimize their impact on production. Some shortages may be covered by requesting delivery of parts from various locations within the site inventory or by locating parts within the site inventory. Other shortages may be covered by ordering more parts from suppliers. The ability to detect various types of shortages and take mitigating actions allow a logistics provider to maintain a flow of parts to production.