Slicing and merging production events
The example embodiments are directed to a system and method for analyzing different production events as a group by modeling the production events as intervals of time. In one example, the method includes modeling a plurality of production processes as a plurality of intervals of time which are overlapping one another on a graph over a predetermined period of time, each modeled production process including a sequence of events over time, determining a slice of time on the graph within the predetermined period of time based on event timings within the plurality of production process, identifying an event that is occurring in each production process during the slice of time based on the overlapping plurality of intervals of time, and storing the identified events of each production process together as a group along with an identification of the slice of time.
1. A computer-implemented method comprising:
modeling, via a user interface, a plurality of production processes as a plurality of intervals of time which are visually displayed as overlapping one another on a graph over a predetermined period of time, each modeled production process displaying sequence of one or more events;
dividing the displayed graph into a plurality of slices of time based on timings of events within the plurality of production processes;
a slice of time on the graph from among the plurality of slices within the predetermined period of time;
identifying an event that is displayed in an interval of time of each production process during the selected slice of time on the graph based on the visually displayed overlapping plurality of intervals of time; and
storing the identified events of each production process together as a group along with an identification of the selected slice of time.
2. The computer-implemented method of claim 1 , further comprising executing one or more of a query and an analytic on the combined identification of events occurring during the slice of time to determine one or more actions to take at a production site.
3. The computer-implemented method of claim 1 , wherein each modeled production process includes a plurality of sequentially occurring events modeled as visual intervals of time, and each modeled event has a start time and an end time within the predetermined period of time of the production process.
4. The computer-implemented method of claim 3 , wherein the selected slice of time is determined based on a start time of an event from a first production process among the plurality of production processes and at least one of a start time and an end time of an event from a second production process among the plurality of production processes.
5. The computer-implemented method of claim 1 , wherein the plurality of production processes are operational processes at an industrial manufacturing plant which are being continuously monitored.
6. The computer-implemented method of claim 1 , wherein the plurality of modeled production processes comprise models of one or more of downtime of a machine or equipment, work orders, crew members, shifts, equipment schedules, and plant calendar.
7. The computer-implemented method of claim 1 , wherein the dividing comprises generating a plurality of sequential slices of time from a beginning of the predetermined period of time on the graph to an end of the predetermined period of time on the graph based on event start and end times within each of the plurality of production processes.
8. The computer-implemented method of claim 7 , wherein the identifying the event that is occurring in each production process comprises identifying an event occurring for each production process during each sequential slice of time from among the plurality of sequential slices of time, and
storing, for each sequential slice of time, the respective identified events occurring in each production process during the sequential slice of time along with an identification of the sequential slice of time.
9. A computing system comprising:
a processor configured to
generate a graph of a plurality of production processes modeled as a plurality of intervals of time, via a user interface which are visually displayed as overlapping one another on the graph over a predetermined period of time, each modeled production process displaying a sequence of one or more events,
divide the displayed graph into a plurality of slices of time based on timings of events within the plurality of production processes,
select a slice of time on the graph from among the plurality of slices within the predetermined period of time, and
identify an event that is displayed in an interval of time of each production process during the selected slice of time on the graph based on the visually displayed overlapping plurality of intervals of time; and
a storage configured to store the identified events of each production process together as a group along with an identification of the selected slice of time.
10. The computing system of claim 9 , wherein the processor is further configured to execute one or more of a query and an analytic on the combined identification of events occurring during the slice of time to determine one or more actions to take at a production site.
11. The computing system of claim 9 , wherein each modeled production process includes a plurality of sequentially occurring events modeled as visual intervals of time, and each modeled event has a start time and an end time within the predetermined period of time of the production process.
12. The computing system of claim 11 , wherein the processor determines the selected slice of time based on a start time of an event from a first production process among the plurality of production processes and at least one of a start time and an end time of an event from a second production process among the plurality of production processes.
13. The computing system of claim 9 , wherein the plurality of production processes are operational processes at an industrial manufacturing plant which are being continuously monitored.
14. The computing system of claim 9 , wherein the plurality of modeled production processes comprise one or more of a modeled downtime of a machine or equipment, work orders, crew members, shifts, equipment schedules, and plant calendar.
15. The computing system of claim 9 , wherein the processor determines a plurality of sequential slices of time from a beginning of the predetermined period of time on the graph to an end of the predetermined period of time on the graph based on event start and end times within each of the plurality of production processes.
16. The computing system of claim 15 , wherein the processor identifies an event occurring for each production process during each sequential slice of time from among the plurality of sequential slices of time, and stores, for each sequential slice of time, the respective identified events occurring in each production process during the sequential slice of time along with an identification of the sequential slice of time.
17. A non-transitory computer readable medium having stored therein instructions that when executed cause a computer to perform a method comprising:
modeling, via a user interface, a plurality of production processes as a plurality of intervals of time which are visually displayed as overlapping one another on a graph over a predetermined period of time, each modeled production process displaying a sequence of one or more events;
dividing the displayed graph into a plurality of slice of time based on timings of events within the plurality of production processes,
selecting a slice of time of the graph from among the plurality of slices within the predetermined period of time;
identifying an event that is displayed in an interval of time of each production process during the selected slice of time on the graph based on the visually displayed overlapping plurality of intervals of time; and
storing the identified events of each production process together as a group along with an identification of the slice of time.
18. The non-transitory computer readable medium of claim 17 , wherein the method further comprises performing one or more of a query and an analytic on the combined identification of events during the slice of time to determine one or more actions to take at a production site.
19. The non-transitory computer readable medium of claim 17 , wherein each modeled production process includes a plurality of sequentially occurring events modeled as visual intervals of time, and each modeled event has a start time and an end time within the predetermined period of time of the production process.
20. The non-transitory computer readable medium of claim 17 , wherein the selected slice of time is determined based on a start time of an event from a first production process among the plurality of production processes and at least one of a start time and an end time of an event from a second production process among the plurality of production processes.