Abstract: The first-arm-curved-part includes a first open-circumferential-edge contact surface that is capable of touching a part that has a length of 3 mm to 6 mm in the circumferential direction of the open circumferential edge. The second-arm-curved-part includes a second open-circumferential-edge contact surface that is capable of touching a part that has a length of 3 mm to 6 mm in the circumferential direction of the open circumferential edge. The distance between the first gripping part and the second gripping part is 35 mm to 45 mm, when the first open-circumferential-edge contact surface and the second open-circumferential-edge contact surface touch the open circumferential edge to hold the pilfer-proof cap with the first arm and the second arm.

Abstract: A system manages mobile workers and includes a plurality of clients and a server. A database includes a plurality of target objects that are classified corresponding to facilities assets to be worked on by a mobile worker and attributes of each target object, including any tasks to be performed on target objects. A rule engine determines algorithms based on a utility function for partitioned jobs wherein different algorithms are selected and used for different partitions to schedule jobs and mobile workers in selected different regions. An algorithm is selected based on a weighted sum that is calculated from a possible number of work schedules, jobs and mobile workers for each partition. A selected policy for a job environment determines how mobile workers, jobs and work schedules are partitioned. A plurality of system agents automate supervision.

Abstract: A system manages mobile workers and includes a plurality of clients and a server. A database includes a plurality of target objects that are classified corresponding to facilities assets to be worked on by a mobile worker and attributes of each target object, including any tasks to be performed on target objects. A rule engine maps from a problem space for partitioned jobs and mobile workers to a solution to schedule jobs and mobile workers in selected different regions. The rule engine is operative to control the scheduling algorithm using heuristics comprising at least one of a tabu search, iterated local search, guided local search, and variable neighborhood search to focus a search space to regions for moving the schedules of high utility.

Abstract: A system manages mobile workers and includes a plurality of clients and a server in communication with a plurality of clients. The server includes a database having a plurality of target objects that are classified corresponding to facilities assets to be worked on by a mobile worker and attributes of each target object, including any tasks to be performed on target objects. A rule engine is operative with the scheduling algorithm to map from a problem space for partitioned jobs and mobile workers to a solution to schedule jobs and mobile workers in selected different regions. The rule engine is operative to control the scheduling algorithm using heuristics comprising at least one of a tabu search, iterated local search, guided local search, and variable neighborhood search to focus a search space to regions for moving the schedules of high utility. A communications device is operative with the server for communicating any determined schedules and jobs as messages to clients.

Abstract: A computer implemented system and method for managing mobile workers in an object oriented programming environment is disclosed. A plurality of target objects that correspond to facilities assets to be worked on by a mobile worker are classified within a database of the computer. The attributes of each target object are defined, including a task to be performed on each target object. Mobile workers are scheduled for the tasks to be performed on target objects by running a rule engine to determine the algorithms and heuristics to be used to schedule mobile workers for the tasks to be performed. The scheduled jobs are then output to the mobile workers.

Abstract: A computer implemented system and method for managing mobile workers in an object oriented programming environment is disclosed. A plurality of target objects that correspond to facilities assets to be worked on by a mobile worker are classified within a database of the computer. The attributes of each target object are defined, including a task to be performed on each target object. Mobile workers are scheduled for the tasks to be performed on target objects by running a rule engine to determine the algorithms and heuristics to be used to schedule mobile workers for the tasks to be performed. The scheduled jobs are then output to the mobile workers.

Abstract: A computer implemented system and method for managing mobile workers in an object oriented programming environment is disclosed. A plurality of target objects that correspond to facilities assets to be worked on by a mobile worker are classified within a database of the computer. The attributes of each target object are defined, including a task to be performed on each target object. Mobile workers are scheduled for the tasks to be performed on target objects by running a rule engine to determine the algorithms and heuristics to be used to schedule mobile workers for the tasks to be performed. The scheduled jobs are then output to the mobile workers.