Resilience analysis of service-oriented collaboration process management systems

Abstract

Collaborative business process management allows for the automated coordination of processes involving human and computer actors. In modern economies, it is increasingly needed for this coordination to be not only within organizations but also to cross organizational boundaries. The dependence on the performance of other organizations should, however, be limited, and the control over the own processes is required from a competitiveness perspective. The main objective of this work is to propose an evaluation model for measuring a resilience of a service-oriented architecture (SOA) collaborative process management system. In this paper, we have proposed resilience analysis perspectives of SOA collaborative process systems, i.e., overall system perspective, individual process model perspective, individual process instance perspective, service perspective, and resource perspective. A collaborative incident and maintenance notification process system is reviewed for illustrating our resilience analysis. This research contributes to extend SOA collaborative business process management systems with resilience support, not only looking at quantification and identification of resilience factors, but also considering ways of improving the resilience of SOA collaborative process systems through measures at design and runtime.Keywords Collaborative business processes management · Resilience · Resilience of SOA collaborative process systems · Service-oriented systems · Cloud-based SOA collaborative business process management

Enhance Supply Chain Resilience through Industry 4.0 - A view of designing simulation scenarios

“…In this architecture, manufacturers can gather industrial data from different machines, IoTs, etc., supply chain data crossing multiple organizations, as well as general news of different regions for monitoring the supply chain and updating regulations. On the basis of our previous work [18,19,20], the architecture is organized into three levels: resource, process, and application. Sensors, IoTs, items on the shop floor, and legacy systems are located at the resource level.…”