Interoperabilität von Manufacturing Execution Systems (MES)

Schleipen, Miriam; Münnemann, Ansgar; Sauer, Olaf

doi:10.1524/auto.2011.0936

Cited by 12 publications

(6 citation statements)

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“…For the manufacturing industry there are some standards with respect to technical interoperability available. For example, OPC UA 4 (Schleipen, 2013;Schleipen et al, 2016) supports loose coupling and hence adaptability of production processes. OPC UA provides the technical standards to observe parameters on machines using a publish-subscribe protocol.…”

Section: Technical Interoperability For Cppsmentioning

confidence: 99%

Interoperability in the cyber-physical manufacturing enterprise

Weichhart

Panetto

Molina

2021

Annual Reviews in Control

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New technologies supporting cyber-physical enterprise systems with respect to online decision-making based on up-to-date data, require networked sensor and actor systems in place. Interoperability is a key factor when supporting systems in a system-ofsystems. In this paper, we survey approaches on Enterprise Interoperability with special attention to the Cyber-Physical Manufacturing Enterprise. The paper identifies the need for interoperability in system-of-systems in contrast to integration in a single system. Also identified are issues due to insufficient support for physical aspects of systems. An application scenario from the manufacturing domain will serve to underpin the developed approach.

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Section: Technical Interoperability For Cppsmentioning

confidence: 99%

Interoperability in the cyber-physical manufacturing enterprise

Weichhart

Panetto

Molina

2021

Annual Reviews in Control

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“…One tool which helps with decision-making to optimize production output is the manufacturing execution system (MES) [19,23,24]. Current performance indicators of production are visualized on a dashboard.…”

Section: Data-driven Sustainable Production Systemmentioning

confidence: 99%

“…Digital technologies can provide the necessary institutional arrangements to support the value co-creation process as they can act as resource-integrators [32]. Moreover, digital technologies allow digital resources to become accessible across a system and accessible to more actors, including potential beneficiaries, therefore opening up new value co-creation opportunities [9,24,34].…”

Section: Concepts That Underpin Value Co-creationmentioning

confidence: 99%

Exploring factory digital production support system through the lens of Service Dominant logic

et al. 2022

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This paper attempts to understand innovation in the production environment of three different digital systems that support the manufacturing processes of industrial firms. Three cases were characterized through the lens of Service Dominant logic to assess the “smartness” of the services that the system provides. It achieves this using the dimensions ‘service ecosystem’, ‘service platform’ and ‘value cocreation’. The assumption used is that production or assembly may be viewed as a set of processes and hence in effect, a service. Furthermore, the digital system provided institutional arrangements to support value cocreation. It was found that the digital systems provide services to the shop floor and management over different time frames. What was also identified from the analysis was that by using the three dimensions, it was possible to understand the system’s limitations in terms of supporting the value cocreation processes.

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“…While we are also using the PX5 Configurator in this letter in our case study, we are not implementing a toolchain to achieve integration between two proprietary tools, but we define generic transformation rules between standardized (modeling) languages. 1 cf. https://www.automationml.org/ Model-driven alignment of structural production system information was further presented in [18]- [20], where business models were aligned to MES models.…”

Section: A Model-driven Engineeringmentioning

confidence: 99%

Flexible Production Systems: Automated Generation of Operations Plans Based on ISA-95 and PDDL

Wally

Vyskočil

Novák

et al. 2019

IEEE Robot. Autom. Lett.

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Model-driven engineering (MDE) provides tools and methods for the manipulation of formal models. In this letter, we leverage MDE for the transformation of production system models into flat files that are understood by general purpose planning tools and that enable the computation of "plans", i.e., sequences of production steps that are required to reach certain production goals. These plans are then merged back into the production system model, thus enriching the formalized production system knowledge.Index Terms-AI-based methods, factory automation, intelligent and flexible manufacturing.

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Interoperabilität von Manufacturing Execution Systems (MES)

Cited by 12 publications

References 0 publications

Interoperability in the cyber-physical manufacturing enterprise

Interoperability in the cyber-physical manufacturing enterprise

Exploring factory digital production support system through the lens of Service Dominant logic

Flexible Production Systems: Automated Generation of Operations Plans Based on ISA-95 and PDDL

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