Method of real-time scheduling of processes at distributed manufacturing sites
In a method of scheduling of processes at distributed and interacting manufacturing sites, a potential availability of predictive pairings of materials and work machines processing the materials over a predetermined period of time is determined for a plurality of manufacturing sites. The potential availability data of the predictive pairings is recorded. The method senses what materials and work machines are available in real-time, and records the real-time availability data of sensed materials and work machines. The real-time availability data is compared with the potential availability data of predictive pairings. In case of a discrepancy, the method determines for each manufacturing site local pairings of materials and work machines processing the materials, and processes the local pairings.
1. A method of scheduling of processes at distributed and interacting manufacturing sites, comprising:
determining a potential availability of predictive pairings of materials and work machines processing said materials over a predetermined period of time for a plurality of manufacturing sites;
recording the potential availability data of said predictive pairings;
sensing what materials and work machines are available in real-time;
recording real-time availability data of sensed materials and work machines;
comparing the real-time availability data of sensed materials and work machines with the potential availability data of predictive pairings;
in case of a discrepancy, determining for each manufacturing site local pairings of materials and work machines processing said materials,
processing said local pairings;
recording observations as observation data, and using said observation data locally as real-time availability data of the sensed materials and work machines;
transmitting the observation data from an observing manufacturing site to at least one of a server and other manufacturing sites;
transmitting the observation data to potentially affected manufacturing sites; and
predefining for each observation data at each manufacturing site a list of potentially affected manufacturing sites, storing said list at the observing manufacturing site, and transmitting the observation data according to the list.
2. The method of claim 1 , the observation data includes one of a start of a process, an end of a process, a shortage of a product/material/component, a delay of material delivery, a delay of a process, a change of a manufacturing due date, a new order, an order is cancelled, a break down of a work machine, and a bad quality of a product.
3. The method of claim 1 , wherein an observation is made with statistical relevance and recorded as observation data.
4. A computer-readable storage medium having stored thereon an information processing program for scheduling processes at distributed and interacting manufacturing sites to be executed on a computer, the program comprising:
determining a potential availability of predictive pairings of materials and work machines processing said materials over a predetermined period of time for a plurality of manufacturing sites;
recording the potential availability data of said predictive pairings;
sensing what materials and work machines are available in real-time;
recording real-time availability data of sensed materials and work machines;
comparing the real-time availability data of sensed materials and work machines with the potential availability data of predictive pairings;
in case of a discrepancy, determining for each manufacturing site local pairings of materials and work machines processing said materials,
processing said local pairings;
recording observations as observation data, and using said observation data locally as real-time availability data of the sensed materials and work machines;
transmitting the observation data from an observing manufacturing site to at least one of a server and other manufacturing sites;
transmitting the observation data to potentially affected manufacturing sites; and
predefining for each observation data at each manufacturing site a list of potentially affected manufacturing sites, storing said list at the observing manufacturing site, and transmitting the observation data according to the list.
5. A computer program product for scheduling processes at distributed and interacting manufacturing sites, the computer program product being embodied in a computer readable medium and comprising computer instructions for:
determining a potential availability of predictive pairings of materials and work machines processing said materials over a predetermined period of time for a plurality of manufacturing sites;
recording the potential availability data of said predictive pairings;
sensing what materials and work machines are available in real-time;
recording real-time availability data of sensed materials and work machines;
comparing the real-time availability data of sensed materials and work machines with the potential availability data of predictive pairings;
in case of a discrepancy, determining for each manufacturing site local pairings of materials and work machines processing said materials,
processing said local pairings;
recording observations as observation data, and using said observation data locally as real-time availability data of the sensed materials and work machines;
transmitting the observation data from an observing manufacturing site to at least one of a server and other manufacturing sites;
transmitting the observation data to potentially affected manufacturing sites; and
predefining for each observation data at each manufacturing site a list of potentially affected manufacturing sites, storing said list at the observing manufacturing site, and transmitting the observation data according to the list.