Redundancy and scalability for virtualized MES systems with programmable infrastructure

Smart CPS: vertical integration overview and user story with a cobot

“…Testing was done by deployment of the proposes solution on a local cloud and integrating a robotic cell with several Adept type robots. (Morariu et al 2016) im-prove the previous research work by implementing and testing redundancy and scalability of virtualized MES. (Yang, Zhang, and Chen 2016) highlights several issues found on the shop-floor which can generate manufacturing objects tracking inaccuracies in a MES.…”

Status and future of manufacturing execution systems

“…Industry/ sector/ market/ product typology [9], [6], [8], [5], [7] Production and logistics typology [10], [11] Scope Enterprise level [1], [6], [12], [13] Operational support [1], [14], [6], [15] Functionality Functional configuration [7], [12], [6] Functional role and integration [7], [16], [14], [17], [18], [11] Functional structure [1], [12], [19], [20], [21], [11] Technological factors…”

“…Manufacturing data acquisition [10], [9], [22], [6], [23] Data exchange between MES and other systems [6], [12], [21], [18], [24], [25] Decision support logic Decision support type [9], [20], [18], [11], [26] Decision support technique [9], [14], [20], [18], [11] User interface Visualization [12], [27] Mobile device interfaces [2], [3] Examples are MES for Make-to-Order and Engineer-to-Order production [10] and for short series production [11]. Scope: MES has two scope related factors; i) enterprise level and ii) operational support.…”

“…However, recent academic studies on decentralized systems are increasing due to the drawbacks of centralized systems, such as the time and effort spent to react to dynamic changes [19]. Holonic and multi-agent MES systems such as proposed by [11,20,21] aim to close these gaps by distributing the decisional authorities.…”

“…In this respect, technological improvements are aiming for better data storage, specification, and conceptualization to integrate and make shared sense of collected data from different systems. Cloud-based and web-based MES systems such as proposed by [6,12,21,24] enable on-demand configuration of distributed applications and integration of distributed systems, with the help of Service-oriented Architecture (SOA) and Web-Service technologies for data integration among heterogeneous systems. Besides these technologies, other communication approaches also exist in literature, such as agent-based communication protocol between MES and a material flow simulation system, proposed by [25].…”