Using manufacturing service descriptions for flexible integration of production facilities to manufacturing clouds

Rauschecker, Ursula; Stöhr, Matthias

doi:10.1109/ice.2012.6297693

Cited by 18 publications

(4 citation statements)

References 15 publications

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“…"Three industries have been selected to be the initial application context for the ManuCloud concepts and technologies: The photovoltaic (PV) industry, the organic lighting (organic light emitting diodes -OLED) industry and the automotive supplies industry." [3] Demonstration scenarios and products have been prepared to show the integration and implementation of the small series production of complex customizable products and services of small to medium-sized enterprises (SMEs) [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Adaptation of Incremental Sheet Forming into cloud manufacturing

Paniti

2014

CIRP Journal of Manufacturing Science and Technology

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Abstract:Incremental Sheet Forming (ISF) is a technology suitable for manufacturing small series and single products. Due to the high customization potential of this process, it is therefore necessary not only to implement the mechanical tools and control algorithms needed, but also to enable easy integration with product configurations executed by customers. The paper describes how ISF can be provided as flexible manufacturing service to production networks and how it can be configured by means of appropriate service descriptions. Furthermore, a new adaptive tool path control algorithm at process level is introduced to bypass fracturing due to localized thinning.

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Section: Introductionmentioning

confidence: 99%

Adaptation of Incremental Sheet Forming into cloud manufacturing

Paniti

2014

CIRP Journal of Manufacturing Science and Technology

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“…Although there are many advantages in moving to the cloud, there are still many concerns and bottlenecks in cloud-based manufacturing regarding remote monitoring services (Tao et al, 2011a;Huang et al, 2013;Rauschecker & Stohr, 2012;Wu et al, 2017), such as network, standards and security issues.…”

Section: Toward Cloud-based Systemsmentioning

confidence: 99%

Cloud platforms for remote monitoring system: a comparative case study

Hao

Helo

Gunasekaran

2019

Production Planning & Control

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Currently, industrial companies are increasingly introducing services to extend their tangible products. Remote monitoring solutions are one of the most implemented services by machine builders to manage their relationship with customers and also improve their business performance in the digital manufacturing era. However, the conventional method of remote monitoring cannot fulfil distributed business environments. Therefore, new solutions are needed to enable remote connection in manufacturing. By reviewing recent literature and proposing new features for software which can be used for remote service and operations, this research paper introduces a remote monitoring system connecting into a central cloud-based system with edge computing network architecture, namely Cloud-based Remote Monitoring (CloudRM). This proposed CloudRM also has been implemented in two different case companies for analysis and evaluation from a value proposition and technical implementation point of view. It shows significant improvement of production management and measurement by using CloudRM.

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“…Hu et al (2009) developed an ontology-based digital description of resource services for grid manufacturing. In the ManuCloud project, an XMLbased manufacturing service description was developed to enable the Manufacturing-as-a-Service operation principle in production networks (Rauschecker and Stöhr 2012). In the SkillPro project, the AutomationML-based format was used to store and communicate the resource skill descriptions to facilitate the autonomous setup and execution of production tasks (Pfrommer et al 2014).…”

Section: Related Workmentioning

confidence: 99%

The development of an ontology for describing the capabilities of manufacturing resources

et al. 2018

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Today's highly volatile production environments call for adaptive and rapidly responding production systems that can adjust to the required changes in processing functions, production capacity and dispatching of orders. There is a desire to support such system adaptation and reconfiguration with computer-aided decision support systems. In order to bring automation to reconfiguration decision making in a multi-vendor resource environment, a common formal resource model, representing the functionalities and constraints of the resources, is required. This paper presents the systematic development process of an OWL-based manufacturing resource capability ontology (MaRCO), which has been developed to describe the capabilities of manufacturing resources. As opposed to other existing resource description models, MaRCO supports the representation and automatic inference of combined capabilities from the representation of the simple capabilities of co-operating resources. Resource vendors may utilize MaRCO to describe the functionality of their offerings in a comparable manner, while the system integrators and end users may use these descriptions for the fast identification of candidate resources and resource combinations for a specific production need. This article presents the step-by-step development process of the ontology by following the five phases of the ontology engineering methodology: feasibility study, kickoff, refinement, evaluation, and usage and evolution. Furthermore, it provides details of the model's content and structure.

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Using manufacturing service descriptions for flexible integration of production facilities to manufacturing clouds

Cited by 18 publications

References 15 publications

Adaptation of Incremental Sheet Forming into cloud manufacturing

Adaptation of Incremental Sheet Forming into cloud manufacturing

Cloud platforms for remote monitoring system: a comparative case study

The development of an ontology for describing the capabilities of manufacturing resources

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