Increasing the adaptability of manufacturing systems by using data-centric communication

Abstract

Future manufacturing systems have to be more adaptable to be able to compete in fast changing markets and address specific customer demands. To increase adaptability of production systems, the software and communication infrastructures have to be adaptable as well. Current communication paradigms tightly couple manufacturing systems to communication infrastructures. Changes in the manufacturing system require manual reconfiguration of software and communication infrastructure. In this paper we define the requirements for future adaptable manufacturing systems. They have to be loosely coupled, dynamic, adaptable, and capable of plug & play. We also propose a data-centric approach to make communication systems more adaptable. Using a simplified industrial setup, we show that the approach is feasible for manufacturing systems and increases the adaptability.

Generic Design Methodology for Smart Manufacturing Systems from a Practical Perspective. Part II—Systematic Designs of Smart Manufacturing Systems

“…The flexibility of a hardware system must be supported by the corresponding software system. Keddis et al [80] discussed the flexibility of datadriven communication to match the flexibility of adaptable hardware system.…”

S-BPM’s Industrial Capabilities

“…Subject-oriented business process management fulfils essential criteria for such a communication model stated in recent literature (Vogel-Heuser and Feiz-Marzoughi 2013; Keddis et al 2014):…”