Software Composition and Distributed Operation Scheduling in Modular Automated Machines

Intelligent Product and Mechatronic Software Components Facilitating Mass Customization in Collaborative Manufacturing Systems

“…The ICs can be observed and tracked by 14 photo eye sensors at various positions on the transport system. Distributed scheduling among conveyors is similar to the methodology reported in [13] for scheduling in modular automated machines. At first, the cylinder which contains the source node will start the scheduling procedure by searching for destination node.…”

“…This design approach is applicable to a wide range of production systems, regardless of their size: from a small automated shop which receives its orders directly from customers, to large manufacturing systems, where all the information, regarding production rules and equipment, is provided from the enterprise level. The MIRA approach for control software design of customized production system has been described in [12,13] ,and in this paper the collaboration aspect of MIRAs is elaborated. Figure 1.…”

Data Management in Industry 4.0: State of the Art and Open Challenges

“…Examples of single machine scheduling are [293], where nested partitioning-based integration of process planning and scheduling in flexible manufacturing environment is introduced, [298], where the authors study the single machine scheduling problem with deadlines where the processing times are described by uncertain variables with known uncertainty distributions, and [295], where the recovery policy of job-shop manufacturing systems is evaluated. Also in [296], the authors propose a software composition method for automated machines that exploits their mechatronic modularity, and they demonstrate that desired behavior of a certain class of machines can be composed of behaviors of its mechatronic components, including nonlinear process monitoring optimal operational indices selection locally weighted learning radial basis function networks recursive slow feature analysis M2M communication fully decentralized scheduling and operation control. Multiple machine job scheduling has been presented in [294], where the authors address the problem of scheduling multi-robot cells with residency constraints and multiple part types, in [299], where the authors consider the serial batching scheduling problem in which a group of machines can process multiple jobs continuously to reduce the processing times of the second and subsequent jobs, and in [300], where the authors study a twomachine scheduling problem in fuzzy environments.…”

Toward Intelligent Industrial Informatics: A Review of Current Developments and Future Directions of Artificial Intelligence in Industrial Applications

“…a conveyor section) implements autonomous behaviour, collaborating with neighbouring units, but together they are capable of implementing same functionality as the centrally controlled systems, but with improved level of adaptability and robustness to disturbances. Sorouri et al [97] extends this approach to intelligent mechatronic systems, such as modular manipulators. Mukhutdinov et al…”