A Technology Roadmap on SOA for smart embedded devices: Towards intelligent systems in manufacturing

Cannata, Alessandro; Gerosa, Marco Aurélio; Taisch, Marco

doi:10.1109/ieem.2008.4737972

Cited by 21 publications

(10 citation statements)

References 1 publication

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“…To address this concern, three areas are identified as relevant levers for their potential with respect to sustainability (Garetti and Taisch, 2012): multi-stage inventory management, aimed at reaching harmonised logistics and optimal supply-chain inventory levels; collaborative planning and management of production and logistics in non-hierarchical networks; and a supply-network design for (re)location plants developed in light of balanced evaluation of the characteristics of products and services, the worker's skills, the transportation time and costs and the ecological issues. Furthermore, technologies too should be considered as levers: in this connection, technology-based research is fostered to facilitate cross-enterprise approaches, starting at the supplier, passing through the manufacturing plant, and finally integrating the customers (Cannata et al, 2008). Last, but not least, it is important to note that service business development requires sharing of knowledge among network actors and could therefore provide more sustainability-related opportunities and potential benefits for all parties in the manufacturing network (Tukker and Tischner, 2006b;Meier et al, 2010;Liu et al, 2012).…”

Section: Sustainable Value Network Within the Manufacturing Industrymentioning

confidence: 99%

Road-mapping the business potential of sustainability within the European manufacturing industry

Valkokari

Palomäki

et al. 2014

Foresight

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Purpose -The purpose of this study is to explore the required changes, outline business potential and envisage the key steps that a networked manufacturing industry needs to take to reach more sustainably performing manufacturing in the future. Design/methodology/approach -The paper utilises a visionary road-mapping approach to study the required changes and the business potential related to sustainable development in the manufacturing industry. Findings -The results were summarised in three sub-roadmaps empowerment of stakeholders, increase efficiency and creation of new performance criteria. On the basis of the summary of the sub-roadmaps, the framework was configured to describe the opportunities and challenges of sustainable business development in the European manufacturing industry.Research limitations/implications -A clear implication of this study is that a more system-oriented approach, new models for collaboration between network actors and transparently shared network-level KPIs are required before further steps towards a sustainable manufacturing industry can be taken. In addition, sustainability-driven business models are required to specify these changes concretely. Practical implications -The presented sub-roadmaps and framework summarising them could provide new insights to business practitioners exploring business potential of sustainability. Social implications -Understanding about the road-mapping process as tool that enables interaction and envisioning between different stakeholders could also have social implications supporting shared industry-level learning processes. Originality/value -Studies of sustainability within the manufacturing industry have focused mainly on green issues in supply-chain management or corporation-level governance models and reporting practices. The paper presents a broader view of sustainable development and recognises networked business as part of the solution.

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Section: Sustainable Value Network Within the Manufacturing Industrymentioning

confidence: 99%

Road-mapping the business potential of sustainability within the European manufacturing industry

Valkokari

Palomäki

et al. 2014

Foresight

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“…A different approach to gain full access to actuators and sensors is given in the SOCRADES project ( [2,3,4]) in which a well-known paradigm of the Internet technology, a Service-Oriented Architecture (SOA), has been applied to automation systems in order to introduce intelligence to devices, named smart devices. In contrast to the LK 3 S HAL approach, smart devices need quite some computational power and this implies additional costs of production and energy.…”

Section: Discussionmentioning

confidence: 99%

“…by the Plant Automation BAsed on DIstributed Systems (PABADIS) [7,12,11] or the Holonic Manufacturing Systems (HMS) [10]. Another proposal emanates from the project ServiceOriented Crosslayer infRAstructure for Distributed smart Embedded deviceS (SOCRADES) [3,4,2] which introduces a service oriented architecture for using automation services.…”

Section: Introductionmentioning

confidence: 99%

Microprogrammable hardware abstraction layer for flexible automation

Schmidtmann

Kreutz

Barkhoff³

et al. 2009

2009 IEEE Conference on Emerging Technologies &Amp; Factory Automation

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Nowadays, one important goal of automation is to optimize the complete work and material flow under the constraints of energy consumption, quality and throughput. As a matter of fact, the whole control process should be flexible and reconfigurable which targets the three levels of the control pyramid (ERP, MES, Field). In the context of our ongoing research project LK 3 S an agent platform is under construction which enables optimization and flexibility. This paper discusses the design and development of a hardware abstraction layer for the lowest level of the control pyramid which offers all services needed by the agent platform and which allows links between work orders and tasks of the field level, e.g. a robot has to mount a tire. Field level tasks are elementary commands composed of a sequence of atomic operations. These tasks play a similar role as microcode for CPUs. Since every task operates individually it can be scheduled so that multiple concurrent actions can be serialized in a way that real-time requirements are still met. Even at runtime, new tasks can be dynamically defined, transfered, activated and deleted within the field level.

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“…This paper presents the research and development related to the Adapter proposing its architecture for Self-Learning Production Systems (SLPS) supported by the use of ServiceOriented Architecture (SOA) principles and technology. Pushing SOA into production control and monitoring levels is becoming increasingly appealing since it leads to the usage of a service-based communications infrastructure to build an unified and integrated solution transparently compliant along enterprise ICT levels [10], [11]. The Adapter is the component responsible for starting an Adaptation process whenever a change in the actual production system context is perceived.…”

Section: Introductionmentioning

confidence: 99%

Self-Learning Production Systems (SLPS) - Optimization of manufacturing process parameters for the shoe industry

Orio

Cândido

Barata

et al. 2013

2013 11th IEEE International Conference on Industrial Informatics (INDIN)

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The manufacturing processes of today are caught between the growing needs for quality, high process safety, efficiency in manufacturing process, reduced time-to-market and higher productivity. In order to meet these demands, more and more manufacturing companies are betting on the application of intelligent and more integrated monitoring and control solution to reduce maintenance problems, production line downtimes and reduction of manufacturing operational costs while guarantying a more efficient management of the manufacturing resources. In this scenario, the research currently done under the scope of the Self-Learning Production Systems (SLPS) tries to fill these gaps by providing a new and integrated way for developing monitoring and control solutions based on novel technologies and especially on self-adaptive, context awareness and data mining techniques. This paper introduces the research background that has driven the design of the generic SLPS architecture and focuses on the Adapter component responsible for adapting the system behaviour according to the actual operative context. The proposed Adapter architecture together with its core components are introduced as well as the generic adaptation process, or rather, the way the Adapter adapt the system behaviour to cope with the current context. Finally, to demonstrate the applicability of the SLPS methodology into real industrial context as well as the Adapter capabilities to learn and evolve along system lifecycle an application scenario is presented.

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A Technology Roadmap on SOA for smart embedded devices: Towards intelligent systems in manufacturing

Cited by 21 publications

References 1 publication

Road-mapping the business potential of sustainability within the European manufacturing industry

Road-mapping the business potential of sustainability within the European manufacturing industry

Microprogrammable hardware abstraction layer for flexible automation

Self-Learning Production Systems (SLPS) - Optimization of manufacturing process parameters for the shoe industry

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