Mihnea Alexandru Moisescu

Towards the development of the framework for inter sensing enterprise architecture

Inter-enterprise architecture (IEA) is a new concept that seeks to apply the tools and methodologies of enterprise architecture (EA) in a collaborative context, in order to model collaborative organizations in an inclusive manner. According to the main enterprise architectures proposed to this point, an EA should be conformed at least for a framework, a methodology and a modelling language. Sensing enterprise (SE) is an attribute of an enterprise or a network that allows it to react to business stimuli originating on the Internet. These fields have come into focus recently, and there is not evidence of the use of IEA for modelling a SE, while finding an interesting gap to work on. Thus, this paper proposes an initial framework for inter sensing enterprise architecture (FISEA), which seeks to classify, organize, store and communicate, at the conceptual level, all the elements for inter-sensing enterprise architectures and their relationships, ensuring their consistency and integrity. This FISEA provides a clear idea about the elements and views that create collaborative network and their inter-relationships, based on the support of Future Internet.

Towards Integration of Knowledge Extraction from Process Interoperability in Future Internet Enterprise Systems

Abstract Current R&D directions sustained by the European Commission, by FP7 and in the near future by FP8 research programs, are focusing on the development and standardization of new technologies to sustain the “Future Internet”. In this context the development of new Internet related concepts and technologies oriented towards providing positive benefits for economy has been included in a broad concept of “Future Internet Based Enterprise Systems”. The Intelligent Manufacturing Systems (IMS) paradigms, are leading our Information Society towards New Economy-driven Knowledge Society copying with Global e-Markets new list of System of Systems requirements. Efficient interoperability, both horizontal and vertical, is a basic requirement towards the aim of Enterprise System Integration within Collaborative Concurrent Competitive Enterprises. In this context, the authors will propose a framework for web service composition and knowledge extraction form process execution based on process description embedded in Internet of Things compliant intelligent objects.

E-Services quality assessment framework for collaborative networks

In a globalised networked economy, collaborative networks (CNs) are formed to take advantage of new business opportunities. Collaboration involves shared resources and capabilities, such as e-Services that can be dynamically composed to automate CN participants’ business processes. Quality is essential for the success of business process automation. Current approaches mostly focus on quality of service (QoS)-based service selection and ranking algorithms, overlooking the process of service composition which requires interoperable, adaptable and secure e-Services to ensure seamless collaboration, data confidentiality and integrity. Lack of assessment of these quality attributes can result in e-Service composition failure. The quality of e-Service composition relies on the quality of each e-Service and on the quality of the composition process. Therefore, there is the need for a framework that addresses quality from both views: product and process. We propose a quality of e-Service composition (QoESC) framework for quality assessment of e-Service composition for CNs which comprises of a quality model for e-Service evaluation and guidelines for quality of e-Service composition process. We implemented a prototype considering a simplified telemedicine use case which involves a CN in e-Healthcare domain. To validate the proposed quality-driven framework, we analysed service composition reliability with and without using the proposed framework.

Towards the Development of the Future Internet Based Enterprise in the Context of Cyber-Physical Systems

The constantly increasing dynamics of the world economy and the shift of business values in accordance with the new values of the current society has lead to the development of new Internet oriented Enterprise Systems. This paper is concerned with the transformation of such systems in regard to the new paradigms of Future Internet and Cyber - Physical Systems. A Distributed Semantic Middleware is proposed as an Enabler for the development of Cyber Enterprise Systems.

From industrial robotics towards intelligent robotic systems

The advanced research in robotics scientific discipline has produced a paradigm shift from the classical robot manipulator used only in industrial environment to the modern mobile robot viewed as an every day life ldquopartnerrdquo. This first objective of this paper is to offer a short but comprehensive history of the paradigm shifts that triggered the industrial robotics research advancements. The short list of paradigm shifts that are to be discussed include: computer integrated manufacturing and engineering systems (C.I.M.E. - 1976), flexible manufacturing systems (FMS - psila80), lean manufacturing (psila90), agile manufacturing, fractal and/or holonic manufacturing systems (psila90), intelligent manufacturing systems (2000). The second objective is to discuss generic design principles and architecture guidelines for the development of a complex robotic system. These include collaborative robotics, artificial intelligence, human-robot interaction, multi-agent systems, service oriented architecture.

Towards the development of interoperable sensing systems for the future enterprise

Current research efforts in the area of enterprise systems are focusing on the development and standardization of new technologies to sustain the “Future Internet based Enterprise”. In this context, emerging Internet technologies are integrated into enterprise information systems in order to provide sustainable business benefits. These new systems have been included in a broad concept of “Future Internet Based Enterprise Systems”. The present paper proposes a sensing based approach to the design of Future Internet Based Enterprise Systems. To sustain the seamless integration and system interoperability a framework to integrate the sensing ability with enterprise information systems is discussed.

Dynamic Interoperability Model for Web Service Choreographies

Service compositions automate a business process allowing organizations to develop value added products. Service choreographies are collaborative in nature and allow for direct interactions between parties involved. Interoperability and adaptability remain challenges in executing a successfull service composition based on choreography. The paper proposes a dynamic model that solves interoperability issues at all levels in an adaptable manner.

Knowledge Management Based Supply Chain in Learning Organization

Abstract The rapid increasing global systems complexity within the Knowledge Based Economy, the driver for the new coming Knowledge Society, provides “great challenges” to be undertaken within the innovative thinking in diversity. The authors goal within the present paper is to conceptualize the skills formation using a Knowledge Society paradigm approach to ensure efficient synchronization between the Adaptive Virtual Organization and Knowledge Management concepts by identifying a set of common activities performed with the aim of assisting the Adaptive Virtual Organization in meeting the going demand for knowledge of todays global economy. Therefore the need for implementing a Learning Organization concept as to offer the needed support within the Enterprise Information System Supply Chain Management becomes a great necessity.

Towards the development of semantically enabled flexible process monitoring systems

In current business and enterprise environment, the most common processes are structured and well-documented, but there is another important category of processes, also referred to as being ‘flexible’ or ‘less-structured’, because their execution is not strictly enforced by an external system. The main objective of this article is the design of a semantically enabled system capable of monitoring and analysing flexible or transient processes that typically occur in enterprise environments, in which the human factor plays a very important role in the execution and planning of activities. In order to facilitate the development of such a system, we provide a framework for the management of processes that also involve physical activities thus extending the scope of business process management into physical systems. This undertaking involves the integration of results from the emerging Cyber Physical Systems (CPS) research field and from several other areas of research such as the area of and activity recognition, plan recognition, process mining, etc.

The Future of Knowledge in Manufacturing Systems in the Future Era of Internet of Things

Abstract Current R&D activities, sustained by the European Commission and by FP7 financial support are focusing on the development and standardization of new technologies to sustain the “Future Internet”. In this context the development of new Internet related concepts and technologies oriented towards providing positive benefits for individuals, society, economy, culture and environment has been included in a broad concept of Future Internet Systems. One of the paradigms proposed in this area is the “Internet of Things”. The future of the manufacturing oriented knowledge management that use the concept of Internet of Things will be characterized by emerging intelligence that could be obtained by a future enterprise from the information detained by its components, contextualized for reflecting a given situation.