International Business Machines Corporation

Hamideh Anjomshoa

Olivia Jayne Smith

James R Kozloski

Timothy Michael Lynar

John Michael Wagner

Adam Eberbach

Annalisa Jean Swan

Mahathir Bin Ahmad Almashor

Methods, systems and computer program products for providing an interactive resource plan visualization associated with a facility are provided. Aspects include receiving facility data comprising historical facility data, current facility data and demand data. Aspects also include determining projected resource demand based on the facility data and the demand data and using cognitive computing techniques. Aspects also include generating a visual representation of a facility. The visual representation of the facility includes available resources and resource demand associated with a specified time and the available resources are rendered according to a first visual style. Aspects also include determining resource availability modifications based on the available resources and the projected resource demand. Aspects also include generating a visual representation of the resource availability modifications associated with the specified time within the visual representation of the facility. The resource availability modifications are rendered according to a second visual style.

Resource planning having improved visualization

A method and system are provided. The method includes generating, by a server having a processor, temporal and event based risk predictions for each of a plurality of workers at a workplace, using a prediction window of a work shift. The method further includes creating, by the server having the processor, a work schedule for the plurality of workers that is optimized to maintain a cumulative workplace risk below a given threshold, based on the temporal and event based risk predictions.

Work schedule creation based on predicted and detected temporal and event based individual risk to maintain cumulative workplace risk below a threshold

Embodiments include methods, and computer program products of a visual modeler of mathematical optimization. Aspects include: analyzing requirements of a visual model of mathematical optimization, designing the visual model of mathematical optimization in graphical form using a visual interface, visualizing the visual model of mathematical optimization model, generating computer code for the solution of the optimization model, and providing output of the visual model of the mathematical optimization from the relevant solver. Designing may include: collecting required data in graphical form using the visual interface and from databases connected to the visual interface, designing objects manually using simple mathematical notation by an expert user, using descriptions in words for later implementation by an inexperienced user, and selecting from a list of standard object types. The providing may include providing output computer code in a predetermined language to one or more computers, and link visual model of mathematical optimization directly to one or more solvers to generate results of visual model of mathematical optimization.

Visual modeller for mathematical optimization

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Camberwell, Australia

Hamideh Anjomshoa