A Cloud Platform to support Collaboration in Supply Networks

Authors: B. Andres, R. Sanchis and R. Poler
Abstract: Collaboration is a trend in supply networks management, based on the jointly planning, coordination and integration of processes, participating all network entities. Due to the current characteristics of uncertainty in the markets and economic crisis, there is a need to encourage collaboration tools to reduce costs and increase trust and accountability to market requirements. This study presents an overview of the research carried out in the H2020 European Project: Cloud Collaborative Manufacturing Networks (C2NET), which is directed towards the development a cloud platform that consist of, optimization tools, collaboration tools to support and agile management of the network. The collaborative cloud platform allows to collect real time information coming from real-world resources and considering all the actors involved in the process. The collaborative cloud provides real time data gathered from the entire network partners in order to improve their decision-making processes.

An Ontology-based Security Framework for Decision-making in Industrial Systems

Authors: Mozzaquatro, B.A., Melo, R., Agostinho, C., Jardim-Goncalves, R.
Abstract: Embedded devices based on emerging technologies of the Internet of Things (IoT) are used to provide resources, business models and opportunities to build potential industrial systems improving manufacturing systems with efficient operations. In this context, IoT networks are dynamic environments and changes are also being increasingly frequent, modifying the environment execution. Nevertheless, severe threats will increase the complexity and difficulty to protect existing vulnerabilities in smart devices of IoT network. In this context, this work proposes an architecture of the ontology-based security framework to decision-making using adaptive security model to improve secure information for the industrial systems. IoTSec ontology contributes to feed the system using queries of contextual information collected in the environment. The main contribution of this approach is validated as an integration with C2NET project to ensure security properties in some critical scenarios.

A Cloud Platform to support Collaboration in Supply Networks

Authors: Andres, B., Sanchis, R., & Poler, R.
Abstract: Collaboration is a trend in supply networks management, based on the jointly planning, coordination and integration of processes, participating all network entities. Due to the current characteristics of uncertainty in the markets and economic crisis, there is a need to encourage collaboration tools to reduce costs and increase trust and accountability to market requirements. This study presents an overview of the research carried out in the H2020 European Project: Cloud Collaborative Manufacturing Networks (C2NET), which is directed towards the development a cloud platform that consist of, optimization tools, collaboration tools to support and agile management of the network. The collaborative cloud platform allows to collect real time information coming from real-world resources and considering all the actors involved in the process. The collaborative cloud provides real time data gathered from the entire network partners in order to improve their decision-making processes.

Towards a reference ontology for security in the Internet of Things

Authors: Mozzaquatro, B. A., Jardim-Goncalves, R., & Agostinho, C.
Abstract: The diversity of wireless technologies, connected to the Internet and the more powerful and smaller embedded devices, allows to encompass services to improve everyday activities around us through new applications and businesses. This context emerged with the Internet of Things (IoT), where different technologies connected with the Internet provide several applications to change people's lifestyle. However, such integration of heterogeneous devices causes many problems of security and privacy due vulnerabilities of technologies, carrying important consequences to the users of IoT technologies. In this context, we proposed a reference ontology (IoTSec) with security concepts of M2M communications to help find secure solutions to the IoT environment. We followed a literature review and MENTOR methodology to gather and harmonize security ontologies and knowledge of vulnerabilities, which are the root causes for problems of all information security. In order to elucidate our approach, we describe a case study about the applicability of IoTSec in the industrial scenario.

Towards a sustainable interoperability in networked enterprise information systems: trends of knowledge and model-driven technology

Authors: Agostinho, C., Ducq, Y., Zacharewicz, G., Sarraipa, J., Lampathaki, F., Poler, R., & Jardim-Goncalves, R.
Abstract: In a turbulent world, global competition and the uncertainty of markets have led organizations and technology to evolve exponentially, surpassing the most imaginary scenarios predicted at the beginning of the digital manufacturing era, in the 1980s. Business paradigms have changed from a standalone vision into complex and collaborative ecosystems where enterprises break down organizational barriers to improve synergies with others and become more competitive. In this context, paired with networking and enterprise integration, enterprise information systems (EIS) interoperability gained utmost importance, ensuring an increasing productivity and efficiency thanks to a promise of more automated information exchange in networked enterprises scenarios. However, EIS are also becoming more dynamic. Interfaces that are valid today are outdated tomorrow, thus static interoperability enablers and communication software services are no longer the solution for the future. This paper is focused on the challenge of sustaining networked EIS interoperability, and takes up input from solid research initiatives in the areas of knowledge management and model driven development, to propose and discuss several research strategies and technological trends towards next EIS generation.

Towards an Agile and Collaborative Platform for Managing Supply Chain Uncertainties

Authors: Lauras, M., Lamothe, J., Benaben, F., Andres, B., & Poler, R.
Abstract: Nowadays, one of the main challenges for Supply Chains is the management of disruptions and uncertainties. Turbulence and instability have now to be considered as the ‘normal’ situation. Future Supply Chains should be able to cope with this new context to stay competitive. To solve this issue, new approaches and technologies have to be designed in order to improve the agility capability of supply networks. To contribute to this new problem statement, as a part of the H2020 C2NET research project, this paper proposes a concrete research framework. The research aim consists in defining precise research orientations in one hand, and structuring a set of technical tasks able to result in an agile and collaborative platform on the other hand. Basically, the main components of the research framework are presented and the expected impacts are discussed.

The Application of Security Adaptive Framework for Sensor in Industrial Systems

Authors: B.-A. Mozzaquatro, R. Melo, C. Agostinho, R. Jardim-Goncalves
Abstract: Sensor networks is a solid basis for the Internet of Things (IoT) to provide resources, business models and opportunities to build potential industrial systems improving manufacturing systems with efficient operations. In this context, IoT devices and sensor networks have a dynamic behavior and changes often modifying the production environment. Nevertheless, severe threats are increasing the complexity and difficulty to protect existing vulnerabilities of IoT devices and sensor networks. However, this work analysis of the application of an ontology-based security framework to decision-making using adaptive security model to improve secure information for the industrial systems. A knowledge base (IoTSec ontology) contributes to feed the system with queries of contextual information collected in the environment. The main contribution is the identification of security issues in specific industrial scenarios of C2NET project to address potential security mechanisms and approaches to protect critical aspects of security framework to the C2NET platform.

A Self Sustainable Approach for IoT Services Provisioning

Authors: R. Melo, C. Agostinho, R. Jardim-Goncalves
Abstract: Internet of Things (IoT) paradigm is opening a large set of opportunities for things to make part of the processes that monitor our industries, support our decisions and control our lives. For that kind of power things must be reliable, i.e., they have to be able to handle on their own, without human interaction, means to still deliver when faults are detected. This work presents an approach that aims to increase the reliability and trust of constrained IoT devices in the effort of pushing the technology further and increase its usability in the application scenarios that IoT is supposed for. It will also be integrated in European Union’s Horizon 2020 C2NET project, as an essential key in the monitoring of pilots production lines.

Meta-Modeling of Collaborative Supply Chain

Authors: Z. Jiang, J. Lamothe, F. Bénaben
Abstract: Due to the restricted resources, European SMEs hardly have access to advanced management systems and collaborative tools currently. The European project C2NET aims at building a novel cloud architecture to provide SMEs affordable tools to help them to overcome the current economic crisis and to enhance their competitiveness in the global economy. This paper mainly focuses on capitalizing on the previous works done by CGI-IO team and proposing meta-model that is derived for supply chain collaboration modeling and is the basis of a reference ontology for the C2NET project. The meta-model is mainly divided into three sub-systems: the context system, the objective system and the partner system.

Cloud Collaborative Manufacturing Networks: needs, requirements and validation of industrial pilots

Authors: E. Saiz, J. Arana, C. Agostinho, L. Saari
Abstract: This paper outlines the main outcomes of the work performed for Industrial Scenarios and Requirements Analysis, under the project C2NET Cloud Collaborative Manufacturing Networks. To ensure a successful management of a collaborative network for the manufacturing industry, different collaboration planning problems and needs between supply chain stakeholders (suppliers, manufacturers, distributors, retailers, managers, etc.) along the entire supply chain are addressed. Four industrial pilots representing relevant sectors such as Automotive, Dermo-cosmetics, Metalworking SMEs networks and Original Equipment Manufacturing (OEM) of Hydraulic/Lubrication systems are described, and the main functionalities identified for the C2NET Cloud platform are highlighted. Additionally, acceptance criteria and corresponding metrics settled to validate the results of the project are explained.

Optimization Algorithms for Collaborative Manufacturing and Logistics Processes

Authors: B. Andres, L. Saari, M. Lauras, F. Eizaguirre
Abstract: This paper comprises the starting point of research, with the presentation, of a taxonomy for classifying manufacturing and logistic collaborative processes, which is based on SCOR views (Supply Chain Council, 2012), regarding with source (S), make (M), and delivery (D) plans, and their combination (SM, MD, SMD). In a second part, this paper focuses on the state of the art carried out within the scope of models and algorithms proposed to support enterprises in the decision-making of calculating plans from a collaborative and automated perspective. Identified Plans and Algorithms are classified according to the presented taxonomy. An analysis of the models and algorithms proposed, so far, in the literature is presented.

C2NET Preliminary Market Assessment

Authors: E. Saiz, E. Castellano, E. M. Vega
Abstract: This paper outlines main outcomes of the preliminary market assessment done at the beginning of the C2NET Cloud Collaborative Manufacturing Networks European project. After a brief introduction where market size expectations about Cloud Services and their interest for SMEs is shown, main SWOT issues identified in this preliminary analysis are presented. The paper continues presenting the results of the analysis of Cloud solutions offered to the market by main Supply Chain Planning solutions providers and concludes by defining C2NET target market from a technical and functional point of view as well as pointing out which are the market segments based on sizes, industrial sectors and manufacturing typologies of industrial companies where C2NET solutions could be applied.

C2NET Project: Tools for agile collaboration

Authors: F. Benaben, J. Lamothe, C. Agostinho, J.-P. Lorré, S. Ghimre, Y. Benazzouz, R. Melo, Z. Jiang, T. Wang
Abstract: The C2NET H2020 European project aims at defining a Cloud platform dedicated to support supply-chain network to perform their services. One key challenge in this project is to manage the agility of supply-chain networks. Actually, defining collaborative behaviours and realizing these collaborative behaviours are arduous tasks, however, these tasks would be useless in a highly dynamic ecosystem if agility of the supply-chain networks is not supported. Agility can be seen as the capacity of a system to (i) detect any (potentially unexpected) situation that requires the system to change and (ii) adapt its global structure/behaviour to that situation. Consequently, inside the C2NET platform architecture, the agility feature will be supported by a knowledge base (based on a reference metamodel) and four main services. The four services are the following: (i) Modelling service, (ii) Detection service (iii) Adaptation service, and (iv) Assessment service.

A distributed Middleware Solution for Continuous Data Collection in Manufacturing Environments

Authors: C. Agostinho, J. Pereira, J.-P. Lorre, S. GHIMIRE, Y. Benazzouz
Abstract: Industrial automation platforms are experiencing a paradigm shift. With the new technologies and strategies that are being applied to enable a synchronization of the digital and real world, including real-time access to sensorial information and advanced networking capabilities to actively cooperate and form a nervous system within the enterprise, the amount of data that can be collected from real world and processed at digital level is growing in an exponentially rate. Indeed, in modern industry, a huge amount of data is coming through sensorial networks embedded in the production line, allowing to manage the production in real-time. In this paper, we propose a data collection framework for continuously collecting data from manufacturing industries shop floors and legacy systems. The framework envisions to provide a robust solution to collect, transform and store data on a generic format from a wide range of IoT devices and legacy systems, allowing an easy way to extrapolate business knowledge.

Towards a cloud-based platform for enabling supply chain collaboration

Authors: Borja Ramis Ferrer, Ruben de Juan-Marín, Emili Miedes, Angelica Nieto, Jose L. Martínez Lastra, Raul Peña-Ortiz
Abstract: The advances on information and communication technologies allow the development of collaboration tools, which exchange different type of data in order to optimize certain functionality. Distributed and large-scale systems (e.g. supply chains) have incorporated many systems and new technologies that are compatible with collaboration tools for optimizing processes. However, Small and Medium-sized Enterprises (SMEs) have not yet implemented the access to such tools due to their limited resources.

A Reference Lexicon Definition from Fact Models

Authors: Pedro Andrade. Joao Sarraipa, Ricardo Jardim-Goncalves
Abstract: Nowadays, it has been noticed an increased demand for interoperable systems capable of exchanging information within collaborative business environments. Consequently, cooperation agreements between each of the involved enterprises have been brought to light. However, due to the fact that even in a same community or domain, there are a big variety of business concept models that are not semantically coincident, which embodies the need of an enterprise reference lexicon definition for interoperable communications establishment. This paper proposes an approach that addresses the automation in the information models mapping and the reference lexicon construction. It aggregates a formal and conceptual representation of the business domain, with a clear definition of the used lexicon to facilitate a further and overall understanding of the business model.

Information Realignment in Pursuit of Self Sustainable Interoperability at the Digital and Sensing Enterprise

Authors: Carlos Agostinho, Jose Ferreira and Ricardo Jardim-Goncalves
Abstract: In order to remain competitive with big corporations, small and medium-size enterprises (SMEs) often need to be more dynamic, adapt to new business situations, react faster, and thereby survive in today's global economy. To do so, SMEs normally seek to create consortiums become aligned with the new Internet trends, thus gaining access to new and more opportunities. However, this strategy may also lead to complications, especially at the level of interoperability. Systems become more and more dynamic with evolving information models and “liquid” semantic domains with fuzzy boundaries. Collaboration networks and partnerships frequently change to answer new customer's requirements, causing new interoperability problems and a reduction of efficiency when not solved. A similar situation is occurring at the level of IoT with the replacement of devices from different manufacturers. This work proposes a mediator system to enable self-sustainable interoperability, monitoring existing enterprise information systems and their devices, by predicting future behaviors and automatically detecting past changes that may harness interoperability. With this, network harmonization disruptions are detected in a timely way, and possible solutions are suggested to regain the interoperable status, thus enhancing robustness for reaching sustainability of business networks along time.

Dynamic Software Adapters as Enablers for Sustainable Interoperability Networks

Authors: Jose Ferreira, Carlos Agostinho and Ricardo Jardim-Goncalves
Abstract: Enterprises are motivated to join collaborative networks, looking forward to reducing time to market, innovating products and lowering prices. However, each enterprise has its own legacy on Enterprise Information Systems, a fact that has been creating a significant interoperability problem when intending to cooperate with others using dissimilar information systems. This paper proposes to reuse existing modelling and architecture technology in a framework to support the sustainability of interoperability among networked enterprises. It suggests the implementation of dynamic software adapters to assure the continuous transformation of heterogeneous information, achieving an adaptive mechanism for interoperation among the different enterprise applications, and guaranteeing a seamless communication among the networked enterprises.

“Redes Colaborativas de Fabricación en Nube. El proyecto Europeo H2020: C2NET ”

Authors: Raquel Sanchis and Raul Poler
Abstract: La colaboración, es una tendencia en la gestión de las redes de suministro, que se basa en la planificación, coordinación e integración de procesos de forma conjunta entre todas las entidades de la red. Debido a las características actuales de incertidumbre en los mercados y crisis económica, se precisa de herramientas que fomenten la colaboración para reducir costes e incrementar la confianza y responsabilidad frente a los requerimientos del mercado. El presente estudio muestra las líneas de investigación del proyecto europeo H2020: C2NET, que van dirigidas hacia el desarrollo de un espacio en la Nube con herramientas de optimización y de gestión ágil, con interfaces intuitivas a través de cualquier dispositivo que proporcionan información en tiempo real a toda la red con el fin de mejorar sus procesos decisionales.
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