I2 Technologies US, Inc.

I2 Technologies, Inc.

Jonathan M Cherneff

Krishna Kumar

John Fors

Feng Liu

Heung-Wah Leung

Tassio Carvallo

A system () for planning and scheduling service events for one or more assets includes a demand optimizer engine () that receives information regarding future service requirements for an asset and operating characteristics of the asset. The demand optimizer engine () also generates a service plan identifying one or more planned service events during which one or more services are to be performed on the asset and identifying a planned start time and a planned end time for each service event so as to minimize the amount of time the asset is non-operational and the costs associated with each service event. The system () also includes a supply optimizer engine () that receives the service plan from the demand optimizer engine () and generates a service schedule for one or more of the planned service events based on information regarding the flow of one or more parts used in conjunction with the services of each planned service event. The service schedule includes a scheduled start time and a scheduled end time for the one or more planned service events. The supply optimizer engine () communicates the service schedule to the demand optimizer engine () and the demand optimizer engine () modifies the service plan according to the service schedule received from the supply optimizer engine ().

Planning and scheduling of maintenance, repair, and overhaul services

A product development scheduler uses a distributed, constraint based system for modeling allocation of resources. All resources for all active development projects are provided at a central location, so that resources are not allocated twice across different projects. Real time availability of resources allows accurate modeling, and changes in resource status are reflected by the scheduler. Availability of materials are tracked through the supply chain to ensure true availability for planning purposes.

System for scheduling product planning

A computer-implemented system (,) for product development planning. The system (,) models a business enterprise in terms of its proposed products and the tasks and resources used to develop them. A optimizing engine comprised of a genetic algorithm (,) and a constraint engine (,) operates on the model to construct candidate product portfolios and schedules. Each schedule is evaluated and used to generate an &ldquo;improved&rdquo; candidate portfolio in accordance with genetic processing. This process continues to improve the product prioritization and pipeline schedule as measured in terms of an objective criterion such as profit maximization.

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Milton, MA, United States of America

Jonathan M Cherneff