Microsoft Technology Licensing, LLC

I2 Technologies US, Inc.

Feng Liu

Douglas Lane Milvaney

Theo Lorrain-Hale

Jonathan M Cherneff

Tassio Carvallo

William D Tierney

Heung-Wah Leung

Manon Knoertzer

Engagement signals may be generated and analyzed based on user interactions with documents, particularly in a collaboration environment. The user interactions may generate raw collaboration signals that may be received and processed into cleaned collaboration signals. For example, noise may be removed from the raw collaboration signals to generate the cleaned collaboration signals. The cleaned collaboration signals may be grouped into engagement signals, where each engagement signal represents an individual event or engagement event of the user with the document. The grouping may be based on boundary signals, time frames, and/or any other reasonable limiting element. Each of the engagement signals may be classified into one of several engagement types based on the cleaned collaboration signals in the engagement signal. The engagement signals may then be analyzed to make determinations, recommendations, or the like regarding one or more users of the document, the document content, or the like.

Engagement signal generation and analysis

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

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Winchester, MA, United States of America

Feng Liu