Please download the dossier by clicking on the dossier button x
×

Optimally rearranging team members in an agile environment

  • US 10,387,811 B2
  • Filed: 08/29/2016
  • Issued: 08/20/2019
  • Est. Priority Date: 08/29/2016
  • Status: Active Grant
First Claim
Patent Images

1. A method of rearranging assignments of workers to teams in an agile environment to manage energy usage, the method comprising the steps of:

  • a computer collecting requirements of a project and determining skills of workers;

    during a preliminary phase that precedes an execution of the project and based on the requirements of the project and the skills, the computer generating an initial arrangement of assignments of the workers to the teams;

    during the execution of the project, the computer obtaining data from sensors which (i) indicates that one or more people are sitting on chairs and (ii) identifies the one or more people as being one or more of the workers assigned to the teams, wherein the sensors are coupled to the chairs, respectively, and wherein the obtained data is based on the sensors detecting the one or more people sitting on the chairs by detecting, for a given person sitting in a given chair, an increase in pressure exerted on the given chair by the given person;

    during the execution of the project, the computer obtaining information about a location of the workers from smart devices;

    during the execution of the project, the computer obtaining content of intranet chat and email communications among the workers;

    during the execution of the project and based on the data from the sensors, the information about the location of the workers, and the content of the intranet chat and email communications, the computer generating a weighted graph that represents the workers, strengths of relationships among the workers, and strengths of relationships between the workers and the teams;

    the computer obtaining data about energy consumption in rooms and floors in one or more buildings in which the workers work;

    the computer obtaining costs of energy footprints of respective workers, wherein the step of generating the weighted graph is further based on the data about the energy consumption and the costs of the energy footprints of the respective workers;

    based on the weighted graph, the computer determining optimal sizes of the teams and an availability of the chairs for the teams;

    based on the weighted graph, the sizes of the teams, and the availability of the chairs, the computer determining an optimal usage of the chairs and the rooms in the agile environment, which allows one or more rooms that were previously being used to be left empty;

    the computer receiving an indication that the one or more rooms are left empty based on the optimal usage of chairs and the rooms, the empty one or more rooms using less energy than the one or more rooms had used prior to being left empty; and

    during the execution of the project, the computer decreasing an amount of energy used in the one or more rooms that were previously being used and are being left empty by adjusting heating or cooling in the one or more rooms and by automatically and dynamically generating an optimal rearrangement of the assignments of the workers to the teams by using (i) the data about energy consumption in the rooms and the floors in the one or more buildings in which the workers work, (ii) the costs of the energy footprints of the respective workers, and (iii) the weighted graph which represents the workers, the strengths of relationships among the workers, and the strengths of the relationships between the workers and the teams, and which is based on the data from the sensors, the information about the location of the workers obtained from the smart devices, and the content of the intranet chat and the email communications among the workers, wherein the optimal rearrangement specifies a match between the skills of the workers and the requirements of the project.

View all claims
  • 1 Assignment
Timeline View
Assignment View
    ×
    ×