International Business Machines Corporation

Brian Timothy Kreifels

William Robert Taylor

Ryan Paske

Manivannan Thavasi

George Michael Hurtis

A novel and non-obvious method, system and computer program product for controlling movement of assets is provided. A method for controlling movement of assets can include reading a first information from a first electronic marker coupled to an asset and reading a second information from a second electronic marker of a transport mechanism in possession of the asset. The method can further include storing in a record the first and second information and a third information comprising a location of the asset. The method can further include retrieving at least one rule comprising at least one value and an action. The method can further include executing a statistical test on the information in the record and executing the action of the at least one rule if a result of the statistical test is outside a predefined confidence level. Information from the record is then added to the empirical data.

Dynamic asset monitoring using automatic updating of rules

A system for performing a part inventory analysis is provided. In response to determining a current part inventory, current order demands on the current part inventory are determined. The current part inventory is segmented. An order demand coverage is determined for each segment of the segmented inventory based on the current order demands. A conditioned part inventory is determined based on a loaner part inventory analysis of the segmented inventory. A part purchase recommendation is calculated based on the conditioned part inventory. Then, data for the segmented inventory, the order demand coverage, the conditioned part inventory, and the part purchase recommendation are stored in a storage device.

Automatically adjusting inventory based on loaner parts and order demands

A method and apparatus for a pull back optimizer in conjunction with an inventory management system allows for efficient retrieval of return assemblies for optimized parts fulfillment. The inventory management system includes a return assembly inventory and a list of parts needed for order fulfillment. The return assembly inventory lists the part numbers and quantities of parts in each return assembly. The pull back optimizer allows a user of the inventory management system to efficiently determine the optimal return systems to pull back to production for parts fulfillment to minimize the impact on those using the return assemblies.

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Rochester, MN, United States of America

Brian Timothy Kreifels