Changeable manufacturing processes using service-based decision-making and I4.0 service-oriented architecture

2018 ◽  
Author(s):  
Zai Zhang
Keyword(s):  
Decision Making ◽  
Service Oriented Architecture ◽  
Manufacturing Processes ◽  
Service Oriented

Framework of Knowledge and Intelligence Base

Data Mining ◽  
2013 ◽  
pp. 474-502
Author(s):  
Marc Rabaey ◽  
Roger Mercken
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Information System ◽  
Enterprise Architecture ◽  
Service Oriented Architecture ◽  
Naturalistic Decision Making ◽  
Military Organization ◽  
Knowledge Culture ◽  
It Systems ◽  
Service Oriented

This chapter introduces the concept of the “Intelligence Base,” developed in a study on the information requirement of the management of an (military) organization. The purpose of the study was to conceive, for each level of an organization, an appropriate Decision Support System (DSS) and/or Knowledge and Information System. All systems would eventually have been integrated in an overall Enterprise Architecture (EA). By discussing the OODA-cycle of John Boyd and the Naturalistic Decision Making (NDM) the authors show that the concept of Intelligence Base can be a DSS for very demanding environments. Related topics are knowledge, culture, and real options (business example). The proposed framework is based on Service-Oriented Architecture (SOA) and Cloud Computing, which will determine the configuration of the Information Technology (IT) systems.

scholarly journals A Smart Cloud-Based System for the WEEE Recovery/Recycling

2014 ◽  
Author(s):  
Xi Vincent Wang ◽  
Brenda N. Lopez N. ◽  
Lihui Wang ◽  
Jinhui Li ◽  
Winifred Ijomah
Keyword(s):  
Manufacturing Systems ◽  
Service Oriented Architecture ◽  
Intelligent System ◽  
Hazardous Materials ◽  
Cloud Manufacturing ◽  
Data Management System ◽  
Manufacturing Processes ◽  
Component Level ◽  
Recovery System ◽  
Service Oriented

Waste Electrical and Electronic Equipment (WEEE) is both valuable and harmful since it contains a large number of profitable and hazardous materials and elements at the same time. At component level, many parts of the discarded equipment are still functional and recoverable. Thus it is necessary to develop a distributed and intelligent system to support WEEE recovery and recycling. In recent years, the Cloud concept has gained increasing popularity since it provides a service-oriented architecture that integrates various resources over the network. Cloud Manufacturing systems are proposed world-wide to support operational manufacturing processes. In this research, Cloud Manufacturing is further extended to the WEEE recovery and recycling context. A Cloud-based WEEE Recovery system is developed to provide modularized recovery services on the Cloud. A data management system is developed as well, which maintains the knowledge throughout the product lifecycle. A product tracking mechanism is also proposed with the help of the Quick Respond code method.

scholarly journals Data interoperability software solution for emergency reaction in the Europe Union

2014 ◽  
Vol 2 (9) ◽  
pp. 6003-6031 ◽  
Author(s):  
R. Casado ◽  
E. Rubiera ◽  
M. Sacristan ◽  
F. Schütte ◽  
R. Peters
Keyword(s):  
Decision Making ◽  
Emergency Management ◽  
Service Oriented Architecture ◽  
First Responders ◽  
Data Interoperability ◽  
International Crisis ◽  
Linguistic Differences ◽  
Emergency Managers ◽  
Service Oriented ◽  
Modular Ontology

Abstract. Emergency management becomes more challenging in international crisis episodes because of cultural, semantic and linguistic differences between all stakeholders, especially first responders. Misunderstandings between first responders makes decision-making slower and more difficult. However, spread and development of networks and IT-based Emergency Management Systems (EMS) has improved emergency responses, becoming more coordinated. Despite improvements made in recent years, EMS have not still solved problems related to cultural, semantic and linguistic differences which are the real cause of slower decision-making. In addition, from a technical perspective, the consolidation of current EMS and the different formats used to exchange information offers another problem to be solved in any solution proposed for information interoperability between heterogeneous EMS surrounded by different contexts. To overcome these problems we present a software solution based on semantic and mediation technologies. EMERGency ELements (EMERGEL) (Fundacion CTIC and AntwortING Ingenieurbüro PartG 2013), a common and modular ontology shared by all the stakeholders, has been defined. It offers the best solution to gather all stakeholders' knowledge in a unique and flexible data model, taking into account different countries cultural linguistic issues. To deal with the diversity of data protocols and formats, we have designed a Service Oriented Architecture for Data Interoperability (named DISASTER) providing a flexible extensible solution to solve the mediation issues. Web Services have been adopted as specific technology to implement such paradigm that has the most significant academic and industrial visibility and attraction. Contributions of this work have been validated through the design and development of a cross-border realistic prototype scenario, actively involving both emergency managers and emergency first responders: the Netherlands–Germany border fire.

Framework of Knowledge and Intelligence Base

2012 ◽  
pp. 219-247 ◽  
Author(s):  
Marc Rabaey ◽  
Roger Mercken
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Information System ◽  
Enterprise Architecture ◽  
Service Oriented Architecture ◽  
Naturalistic Decision Making ◽  
Military Organization ◽  
Knowledge Culture ◽  
It Systems ◽  
Service Oriented

This chapter introduces the concept of the “Intelligence Base,” developed in a study on the information requirement of the management of an (military) organization. The purpose of the study was to conceive, for each level of an organization, an appropriate Decision Support System (DSS) and/or Knowledge and Information System. All systems would eventually have been integrated in an overall Enterprise Architecture (EA). By discussing the OODA-cycle of John Boyd and the Naturalistic Decision Making (NDM) the authors show that the concept of Intelligence Base can be a DSS for very demanding environments. Related topics are knowledge, culture, and real options (business example). The proposed framework is based on Service-Oriented Architecture (SOA) and Cloud Computing, which will determine the configuration of the Information Technology (IT) systems.

Sensor Web

2010 ◽  
pp. 447-473 ◽  
Author(s):  
Tomasz Kobialka ◽  
Rajkumar Buyya ◽  
Peng Deng ◽  
Lars Kulik ◽  
Marimuthu Palaniswami
Keyword(s):  
Decision Making ◽  
Service Oriented Architecture ◽  
Independent Manner ◽  
Sensor Applications ◽  
Standard Data ◽  
Web Architecture ◽  
Sensor Web ◽  
Data Representations ◽  
Service Oriented ◽  
Open Geospatial Consortium

As sensor network deployments grow and mature there emerge a common set of operations and transformations. These can be grouped into a conceptual framework called Sensor Web. Sensor Web combines cyber infrastructure with a Service Oriented Architecture (SOA) and sensor networks to provide access to heterogeneous sensor resources in a deployment independent manner. In this chapter we present the Open Sensor Web Architecture (OSWA), a platform independent middleware for developing sensor applications. OSWA is built upon a uniform set of operations and standard data representations as defined in the Sensor Web Enablement Method (SWE) by the Open Geospatial Consortium (OGC). OSWA uses open source and grid technologies to meet the challenging needs of collecting and analyzing observational data and making it accessible for aggregation, archiving and decision making.

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