Abstract: 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.

Abstract: 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.

Abstract: To improve the performance of a distributed scheduler for a manufacturing process comprising activities including a production resource management, a production definition management, and a detailed production scheduling, a method provides a decision and prediction function over the activities which carries out an analysis of a variability of the manufacturing process. Further, the method takes results of the analysis into account while making an actual detailed schedule in the production scheduling.