- A Competition Model for the Offer: an experiment of management simulation,
Claudelino Dias Junior, Davis Oliveira, Alexandre Moraes Ramos, Rogério Tadeu de Oliveira Lacerda. ( Abstract )
- An interoperable cloud environment of manufacturing control system,
Yulia Yadgarova, Victor Taratukhin. ( Abstract )
- A Meta Level Formal Manufacturing Ontology for Meta Level Production Methods,
Zahid Usman, Bob Young. ( Abstract )
- A New Framework for Strategic Risk Analysis in a Global Pump Manufacturing Network,
Niknejad Ali, Dobrila Petrovic, Keith Popplewell, Frank-Walter Jaekel, Sonja Pajkovska-Goceva. ( Abstract )
- Automated Process Model Generation for Internet of Things oriented Enterprise Systems,
Dragos Repta, Ioan Sacala, Aurelian MihaiStanescu, Ioan Dumitrache, Mihnea Moisescu. ( Abstract )
- A Self Sustainable Approach for IoT Services Provisioning,
Raquel Melo, Carlos Agostinho, Ricardo Goncalves. ( Abstract )
- Cloud and Services Testing applied in Manufacturing,
Fernando Alves, Carlos Coutinho, Raúl Peña-Ortiz, Xiangbin Xu , Angelica Nieto, J. Ahola , Artem Katasonov, Leila Saari. ( Abstract )
- Framework of Design Principles and Standards for Enterprise Interoperability Service Utilities,
Irene Matzakou, Ourania Markaki, Kostas Ergazakis, Dimitris Askounis. ( Abstract )
- iFloW: an integrated logistics software system for inbound supply chain traceability,
Nuno Santos, Diogo Barbosa, Paulo Maia, Fábio Fernandes , Márcio Rebelo, Pedro Silva , Sameiro Carvalho, João Fernandes , Ricardo Machado. ( Abstract )
- Knowledge-based system to enhance coordination of hospital practitioners: a case study,
Delphine Guillon, Elise Vareilles, Guillaume Marques, Paul Gaborit, Matthieu Lauras. ( Abstract )
- Meta-modeling of Collaborative Supply Chain,
Zheng Jiang, Jacques Lamothe, Frederick Benaben. ( Abstract )
- Negotiation Coordination Model for supporting Enterprise Interoperability,
Adina Cretan, Carlos Coutinho, Ben Bratu, Ricardo Goncalves. ( Abstract )
- Performance Oriented Decision Making to Guide Web Service Lifecycle,
Tehreem Masood, Muhammad Fahad, Chantal Cherifi, Néjib Moalla. ( Abstract )
- Process Modelling Approach for the Liquid-Sensing Enterprise,
Catarina Lucena, Ferreira Jose, Michele Sesana, Klaus Fisher, Carlos Agostinho. ( Abstract )
- Profiling Based on Music and Physiological State,
João Gião, João Sarraipa, Fonseca Francisco-Xavier, Fernando Ferreira, Ricardo Jardim-Goncalves, Milan Zdravković. ( Abstract )
- Qualitative Evaluation of Manufacturing Software Units Interoperability using ISO 25000 Quality Model,
Henri Basson, Mourad Bouneffa, Michiko Matsuda, Adeel Ahmad, Dukki Chung, Eiji Arai. ( Abstract )
- Requirement Pattern Elicitation Approach of Massive Customers in Domain Oriented Service Requirement Engineering,
Zhiying Tu, Xiaofei Xu. ( Abstract )
- Seamless interrelation between business strategies and tactical planning,
Frank-Walter Jaekel, Simon Schlosser, Boris Otto, Dobrila Petrovic, Ali Niknejad. ( Abstract )
- Semantic Data Integration Approach for the Vision of a Digital Factory,
Marco Franke, Konstantin Klein, Karl Hribernik, Klaus-Dieter Thoben. ( Abstract )
- The Industry Cockpit Approach: A framework for flexible real-time production monitoring,
Nicole Oertwig, Patrick Gering. ( Abstract )
- The systems development life cycle to facilitate progression towards semantic and organizational interoperability for Healthcare system,
Daliborka Macinkovic, Nenad Anicic. ( Abstract )
- The use of Serious Games in Requirements Engineering,
Elsa Jesus, Joao Sarraipa, Carlos Agostinho, Ricardo Goncalves. ( Abstract )
- Towards a Flexible Gamification Model for an Interoperable E-learning Business Process Simulation Platform,
Sarah Zribi, Tom Jorquera, Jean-Pierre Lorré. ( Abstract )
- Towards an Interoperable decision support platform for eco-labeling process,
Da Xu, Hedi Karray, Bernard Archimède. ( Abstract )
- Towards a Methodology to support the Strategies Alignment Process in Collaborative Networks,
Beatriz Andrés, Raul Poler. ( Abstract )
- Use of Big Data for continuous interoperability in crisis management,
Audrey Fertier, Sebastien Truptil, Aurélie Montarnal, Anne-Marie Barthe Delanoë, Frederick Benaben. ( Abstract )
- Weaving Trending, Costing and Recommendations using Big Data Analytic: An Enterprise Capability Evaluator,
Muhammad Naeem, Néjib Moalla, Yacine Ouzrout, Abdelaziz Bouras. ( Abstract )
A Competition Model for the Offer: an experiment of management simulation
Claudelino Dias Junior, Davis Oliveira, Alexandre Moraes Ramos, Rogério Tadeu de Oliveira Lacerda
It is observed that contemporary learning tools have their logic of development grounded in learning and not merely in the traditional teaching practice . In other words, learning happens by the experimental action of the individual considering the conceptual basis that this individual holds. Taking into account the high complexity of the problems, especially those related to the field of management, this study proposes a model of competition that contextualizes the practice of business decision-making. Therefore, this study presents a conceptual modeling simulation with the construction of an algorithm that enables this modeling by describing its application, taking as reference an exploratory methodology with a qualitative and quantitative approach. The results revealed to be satisfactory, inasmuch as they prove the interdependencies between the competitive variables chosen to determine the performance of a list of companies.
An interoperable cloud environment of manufacturing control system
Yulia Yadgarova, Victor Taratukhin
In presented study a new integrated framework for building cloud-based manufacturing environment is described. This approach allows develop future production systems as the class of adaptive distributed systems with virtual cloud model and simulation. Dependency model of equipment interaction is defined and the method of detailed production plan scheduling is introduced. As the result of the investigation architecture and prototype of the system is presented.
A Meta Level Formal Manufacturing Ontology for Meta Level Production Methods
Zahid Usman, Bob Young
In a manufacturing environment, engineers and scientist often need to access and reason about general types of manufacturing methods without complex specifications and numbers. They may also want to disseminate the general process plans without sensitive details. This general knowledge is typically contained in the structure of knowledge bases which is composed of classes and can be referred to as Meta Level Knowledge. Typical manufacturing knowledge bases are designed for populated knowledge only and do not support capturing and reasoning over Meta level knowledge. Modelling to capture Meta level knowledge has been investigated in broader software community but the same is not true in manufacturing domain particularly in process planning. Moreover, an exploration to capture and reason about such knowledge in formal manufacturing ontologies has not been conducted. In this paper, a new formal ontology is proposed to capture meta level production methods. The ontology makes use of “powertypes” and “clabjects” to treat classes as objects. Meta level production methods can be captured using the proposed ontology. Manufacturability of features within a part family can be found at the meta level. Various tests are conducted to examine the ability to access, infer and reason about the meta level production methods to show the effectiveness of proposed ontological model.
A New Framework for Strategic Risk Analysis in a Global Pump Manufacturing Network
Niknejad Ali, Dobrila Petrovic, Keith Popplewell, Frank-Walter Jaekel, Sonja Pajkovska-Goceva
This paper presents a new risk analysis framework applied to a global production network for pump manufacturing considering strategic decisions regarding alternative suppliers and markets. External and internal risk scenarios are defined and alternative network configurations are evaluated considering the constructed risk scenarios. Inoperability of individual nodes in the global production networks caused by identified risks are determined by taking into account propagation of risks due to the interdependencies between nodes. Fuzzy arithmetic is applied to track the level of uncertainty inherent in the model parameters and the outcomes. It is demonstrated how recommendations can be made with regard to the network configuration and handling of the uncertainty in the results.
A Self Sustainable Approach for IoT Services Provisioning
Raquel Melo, Carlos Agostinho, Ricardo Goncalves
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 in the end 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 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 IoTis 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.
Automated Process Model Generation for Internet of Things oriented Enterprise Systems
Dragos Repta, Ioan Sacala, Aurelian MihaiStanescu, Ioan Dumitrache, Mihnea Moisescu
Several paradigms have emerged in the last few years which have the ability to reshape the architecture of the Enterprise Systems. These refer to "Internet of Things and Cyber-Physical Systems" with proposed forms of implementation such as "Sensing Enterprise" and "Intelligent Cyber Enterprise". The main focus of this paper is related to enterprise systems required to support the implementation of next generation of enterprise architectures. The research presented in this paper aims to solve the problem of recovering process models from sensor observations given a reasonable amount of background information. As such, the main objective is the development of a framework for building systems capable of solving this problem. These systems, using data received from an existing sensor network, will present to the end-users a process model, in a common graphical notation, depicting the observed dynamics.
Cloud and Services Testing applied in Manufacturing
Fernando Alves, Carlos Coutinho, Raúl Peña-Ortiz, Xiangbin Xu , Angelica Nieto, J. Ahola , Artem Katasonov, Leila Saari
Software testing is a complex and thorough process, which verifies software correctness from bare simple code units to the intricate complexity of fully integrated systems. Such major development contributor element should be planned from the beginning of the project (perhaps even before the code itself), and should play a role as important as the development itself. The use of the latest, fit, and most complete tools is important to ease the testing activities, but in most cases the selection of the best tool is specific to each particular development environment. This article presents an overview of the state-of-the-art in testing methodologies and tools, particularizing the use of such tools in the context of the H2020 European project C2NET, which handles, among others, Cloud environments and Web Services.
Framework of Design Principles and Standards for Enterprise Interoperability Service Utilities
Irene Matzakou, Ourania Markaki, Kostas Ergazakis, Dimitris Askounis
The Interoperability Service Utility (ISU) concept constitutes an innovative approach for the provision of collaborative web services promoting the establishment of Enterprise Interoperability (EI) across different and diverse enterprise information systems. The purpose of this paper is to investigate the formulation of a framework on how to effectively design, develop and implement an ISU that would successfully serve certain purpose and context. A thorough study on current ISU implementations has been conducted in order to investigate and identify existing standards, common patterns and good practices. This information has been systematically classified into a set of basic standards and design principles that could serve as roadmap to support every interested party that wishes to implement an ISU. The basic conclusion is that the ISU is open to several interpretations and may be instantiated through diverse implementations of different purpose and scale, depending on the particular requirements it has to fulfill.
iFloW: an integrated logistics software system for inbound supply chain traceability
Nuno Santos, Diogo Barbosa, Paulo Maia, Fábio Fernandes , Márcio Rebelo, Pedro Silva , Sameiro Carvalho, João Fernandes , Ricardo Machado
Visibility plays an important role in supply chain management. Such visibility is not only important for better planning, but especially for real-time execution related with the traceability of goods. In inbound supply chain management, logistics planners need to trace raw materials from their requests in order to properly plan a plant’s production. The iFloW (Inbound Logistics Tracking System) integrates logistics providers IT applications and Global Positioning System (GPS) technology to track and trace incoming freights. The Estimated Time of Arrival (ETA) is updated in real-time allowing an improved materials planning process. This paper presents the iFloW project and describes how these issues are addressed and validated in a real pilot project.
Knowledge-based system to enhance coordination of hospital practitioners: a case study
Delphine Guillon, Elise Vareilles, Guillaume Marques, Paul Gaborit, Matthieu Lauras
The work reported in this paper aims to design a knowledge-based system in order to improve the first contact between an expectant mother and the hospital practitioners in charge of pregnancy following-up (midwives, gynecologists). Our work focuses on the appointment making process which is most of the time carried out by auxiliary nurses of the gynecology and obstretric department. Generally, these auxiliary nurses have only a few minutes to collect information from expectant mothers, to identify the risk level of the pregnancy, and to make an appointment with the relevant and available practitioner. Two main difficulties have been identified in this process: the call pick-up rate and errors in making appointment. These two difficulties have become for us two principal areas for improving the service quality given to patients. We have extracted and formalized some knowledge as a constraint satisfaction problem. This knowledge-based system is currently tested in the gynecoloy and obstrectric department of a French hospital.
Meta-modeling of Collaborative Supply Chain
Zheng Jiang, Jacques Lamothe, Frederick Benaben
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.
Negotiation Coordination Model for supporting Enterprise Interoperability
Adina Cretan, Carlos Coutinho, Ben Bratu, Ricardo Goncalves
The scientific evolution of negotiation in collaborative working environments allowed companies to benefit from new interoperability standards. The proliferation of SMEs led to a highly competitive environment, in which the various partners rely on interoperability and collaboration to be efficient. This paper highlights the role of negotiation in solving interoperability issues by proposing a distributive coordination model in order to manage multiple parallel negotiations. The research results will be validating within the European research project H2020 C2NET.
Performance Oriented Decision Making to Guide Web Service Lifecycle
Tehreem Masood, Muhammad Fahad, Chantal Cherifi, Néjib Moalla
Service composition networks are becoming increasingly important and more critical for the enterprise collaborations. The sustainability of service based systems is driven with the support of performance metrics analysis for decision making. Some of the existing works only focused performance at messaging level. Ontology based performance monitoring techniques did not provide the recommendation model for better quality of service. In this paper we propose a semantic service recommendation framework (SSRF) based on Service Networks Monitoring (SNM) concepts. This framework includes creation of Service Network Monitoring Ontology (SNMOnt), extracting traces of technical indicators for services and storing decision data in the existing database. The decision support covers the unavailability of service and recommendation of services based on technical indicators. Our framework is meant to support the creation of shared domain knowledge ensuring an optimal decision making system for web service lifecycle..
Process Modelling Approach for the Liquid-Sensing Enterprise
Catarina Lucena, Ferreira Jose, Michele Sesana, Klaus Fisher, Carlos Agostinho
A mutual interaction between the real, the digital and the virtual worlds in the Future Internet networked society provides a fertile playground for IoT-related research and innovation. This conceptual view enables enterprises to separate concerns and be able to define better strategies on how to act, react, plan and optimize their activities. Nowadays, business process and specific technologies can already support each stage of process implementation. However, none is focused on this conceptual division provided by the IoT advances. Representing and implementing the interactions between the three worlds is achieved by means of interoperable models and tools where business objectives can be aligned with software applications and services at the single enterprise or network level. This paper presents a model-driven approach and a tool to support the modelling and instantiation of the IoT-enabled liquid and sensing processes in an inter-world osmosis style.
Profiling Based on Music and Physiological State
João Gião, João Sarraipa, Fonseca Francisco-Xavier, Fernando Ferreira, Ricardo Jardim-Goncalves, Milan Zdravković
Technology is driven by the objective of improving our lives, attending our needs and supporting our work and daily activities. Such guidelines are important to lead technological developments in many areas, whereas the most important result of such enabler is the enhancement of the users’ wellbeing. It is questionable how such technologies make us feel better. One can argue whether environmental conditions can be modified in order to enhance people’s wellbeing, and in what direction. One of the adopted methods in this work explores that thought, on whether the usage of a person’s physiological state can wield adequate sensorial stimulation to be usefully used thereafter. Another question considered in this work is whether it is possible to use such collected data to build a user’s musical playlists that tries to match a user’s physiological and psychological state with the stimuli evoked by the music that he or she is listening.
Qualitative Evaluation of Manufacturing Software Units Interoperability using ISO 25000 Quality Model
Henri Basson, Mourad Bouneffa, Michiko Matsuda, Adeel Ahmad, Dukki Chung, Eiji Arai
In the context of development and evolution of hetergeneous industrial systems, the quality of interoperability among manufacturing software units is a major concern. Qualitative characteriscs of the interoperability such as reliability, functionality, performance, and security are necessary for the assurance of high quality of the developed manufacturing applications. The implemented interoperability among various software units of manufacturing applications often have various quality criteria. Therefore, an adequate qualitative modeling is required to satisfy the qualitative evaluation of the interoperability. This paper presents the use of quality model developed in respect of quality standard ISO 25000 series as a means to permit the comprehensive evaluation of interoperability of the applications developed regarding the ISO 16100 standard series.
Requirement Pattern Elicitation Approach of Massive Customers in Domain Oriented Service Requirement Engineering
Zhiying Tu, Xiaofei Xu
Nowadays, software service engineering has become one of the important development trends of the IT world. More and more software resources are developed and reconstructed as online services. These services appear as XaaS (e.g. IaaS, PaaS, SaaS, BPaaS) architecture with huge service capacity to serve massive customers. Under this servitization revolution, various kinds of services from multi-domains and multi-networks are converged as a huge complicated service network or eco-system, which can be called as Big Service. Even though this big service ecosystem contains abundant services resources, it is still very difficult for the customers to select the most suitable services to satisfy their requirements. Meanwhile, different individual customer has diverse service requirements. Thus, how to develop the most applicable service solution by reusing the existed heterogeneous service resources to meet massive individualized customer requirements is a key issue in the big service ecosystem. With the aim of solving this issue, Xiaofei Xu proposed a new paradigm of software service engineering called RE2SEP (Requirement-Engineering Two-Phase of Service Engineering Paradigm). This paradigm divides the software service development lifecycle into two different phases (service oriented requirement engineering and domain oriented software engineering) that can be executed simultaneously. The research work presented in this paper is under the service oriented requirement engineering phase. Our goal is to propose an approach that can detect the accurate requirements rapidly from massive customers. This approach is based on requirement pattern elicitation, so this paper will firstly present the requirement pattern definition, and then present the methodology and algorithm of requirement pattern elicitation.
Seamless interrelation between business strategies and tactical planning
Frank-Walter Jaekel, Simon Schlosser, Boris Otto, Dobrila Petrovic, Ali Niknejad
There is an increasing pressure on manufacturing enterprises to innovate in their business model due to the accelerated change of market factors (e.g. digitalization, globalization, increasing customer individual demands, etc.). An important problem is the efficient, comprehensive and rapid transformation of a strategic idea to the tactical planning and its realization. Considering the variety of internal and external factors that have an impact on the global production network. In order to support decision makers with these complex tasks, the paper proposes an approach that facilitates more informed and faster decisions on new business opportunities. The approach incorporates an information structure allowing tracking and evaluating decisions from the first idea to its realization.
Semantic Data Integration Approach for the Vision of a Digital Factory
Marco Franke, Konstantin Klein, Karl Hribernik, Klaus-Dieter Thoben
The vision of Digital Factories is to reduce the need for physical prototyping when designing future factories, and support the management of the entire lifecycle of products. For that purpose the exchange of information over the boundaries of processes and applications is a mandatory step to achieve the required interoperability. This paper proposes on basis of Digital Factory’s requirements an approach to achieve the interoperability in their processes. For that purpose, the proposed approach is implemented as an extension of XML Wrapper. This wrapper is part of the Specific EnabelerSEMed. Finally the extended SEMed is evaluated according to the Digital Factory’s requirements.
The Industry Cockpit Approach: A framework for flexible real-time production monitoring
Nicole Oertwig, Patrick Gering
Products are becoming more and more individualized. Additionally, customer demands are increasingly more influential on the production process. The individualization is no longer restricted to the final products, but increasingly influences the processes of the entire company. Thus, an additional requirement for a manufacturing process also indirectly requires individual procedures in planning, billing, documentation and controlling. Current cockpit solutions, programmed with great effort, are inadequate since they can only be applied for a limited process variety and thus the necessary flexibility cannot be pro-vided. However, real-time monitoring of business processes faces several challenges. Observing process executions and at the same time focusing on other tasks cannot be tackled with state-of-the-art, visualization-based process monitoring systems. In this pa-per, a model-based Industry Cockpit is presented which can represent data accurately and flexibly in a contextual manner for the whole company, including its products, processes, roles and machine systems. With this solution, every employee receives real-time information at the right place and at the right time.
The systems development life cycle to facilitate progression towards semantic and organizational interoperability for Healthcare system
Daliborka Macinkovic, Nenad Anicic
Model of healthcare system interoperability should provide accurate interpretation of medical information and the exchange of data and services through modern technologies and infrastructure for improvement of the healthcare system. The existence of numerous standards in medicine and their adoption facilitated the establishment of interoperability, but a complete semantic and organizational interoperability is still not achieved. In this paper, interoperability is considered within the methodological framework of the systems development life cycle on semantic and organizational level of interoperability. Life cycle of semantic web services and semantic technology through the proposed phases indicates the solution of misunderstandings in the exchange of information and improvement of services in the health system. Life cycle of business processes interoperability through the proposed phases facilitate understanding of common business processes, which increases the efficiency of the healthcare system. An example of the introduction of new procedures into the health system was presented through life cycle of the common stream of proposed phases as one methodological proceeding.
The use of Serious Games in Requirements Engineering
Elsa Jesus, Joao Sarraipa, Carlos Agostinho, Ricardo Goncalves
Today we live in a society where time is money. In research and technology development projects, it isn't different, every minute of delay would cause expenses, possible harms or project failures. In this context an efficient requirements engineering would avoid this kind of problems facilitating the accomplishment of the projects accordingly to the plan and technologically reaching the foreseen goals. The objective of this paper is to propose the use of serious games in the support of requirements engineering acquisition and validation. To demonstrate such approach two serious games are presented, which were used in the requirements engineering process of the "OSMOSE" project in two use case scenarios of the automotive and aeronautic industry respectively.
Towards a Flexible Gamification Model for an Interoperable E-learning Business Process Simulation Platform
Sarah Zribi, Tom Jorquera, Jean-Pierre Lorré
E-learning, technology-assisted education has become a recognized and widespread educational tool in today's society. This transition allowed to the domain to import ideas from other domains of the digital world. Among those, the concept of gamification has quickly become one of the central tools to for keeping learners engaged. This paper proposes a gamification approach for collaborative simulation-based learning. It introduces a simple and flexible model for introducing gamification mechanisms for collaborative simulation-based learning. The work is applied to a business process simulator developed in the context of the Learn PAd project aiming at providing a learning platform for workers in public administrations.
Towards an Interoperable decision support platform for eco-labeling process
Da Xu, Hedi Karray, Bernard Archimède
Along with the rising concern of environmental performance, eco-labelling is becoming more popular. However, the complex process of eco-labelling demotivated manufacturers and service providers to be certificated. In this paper, we propose a decision support system aiming at further improvement and acceleration of the eco-labeling process in order to democratize a broader application and certification of eco-labels. This decision support system will be based upon a comprehensive knowledge base composed of various domain ontologies covering the whole life cycle of a product or service. Through continuous enrichment on the knowledge base in modular ontologies and by defing standard RDF and OWL format interfaces, the decision support system will stimulate domain knowledge sharing and have the interoperability to be applied into other practice.
Towards a Methodology to support the Strategies Alignment Process in Collaborative Networks
Beatriz Andrés, Raul Poler
Over the last years, collaborative networks (CN) have been widely studied due to the benefits obtained by the enterprises that take part in current global and dynamic markets. Enhancing enterprises flexibility and agility is one of the challenges associated to overcome continuous and unforeseen changes. The enterprises flexibility is enhanced by rapidly sharing information and knowledge, and the quickly adaptation of the objectives and strategies, when sudden changes occur, in order to keep working in the same direction without losing the common vision. This paper focuses on addressing the strategic alignment process, having a global view of all the strategies formulated in the CN, with the main aim of identifying the ones that have higher levels of alignment. In the light of this, a methodology to deal with the strategies alignment process is proposed, as a complementary mechanism to the model and tool previously propose, in the CN context.
Use of Big Data for continuous interoperability in crisis management
Audrey Fertier, Sebastien Truptil, Aurélie Montarnal, Anne-Marie Barthe Delanoë, Frederick Benaben
Crisis management often involves several stakeholders, who need to be synchronized, despite their heterogeneity or their lack of time, without having any predefined solution for supporting their coordination or data sharing. To help them, crisis cells are set up at the moment the news of crisis is released and actually have only the time to centralize decisions. The purpose of the French ANR (French National Agency for Research) GéNéPi project is to permit interoperability, through supporting coordination and data sharing: inside the decisional level, between hierarchical echelons, and inside the operational level, between the stakeholders. A MIS (Mediation Information System) is provided by this project and encompasses: (i) the information analysis, on the basis of data collected during the preparation phase, (ii) the creation of one collaborative process and (iii) the agility of the solution by comparing two situation models on run-time. Such a system needs to deal with Big Data issues in order to be able to evaluate these models. The paper presents the context of the research and the improvements brought by the MIS. It also expresses the possibility of and the need for automate the data retrieval, thanks to Big Data methods, so that the MIS could evaluate the field situation in real time.
Weaving Trending, Costing and Recommendations using Big Data Analytic: An Enterprise Capability Evaluator
Muhammad Naeem, Néjib Moalla, Yacine Ouzrout, Abdelaziz Bouras
In the life cycle of a business organization, unprecedented turmoil and turbulent timings are inevitable. This ever green truth is not only an advice but a motivation for every organization to be dynamic in its business plans. In other words, “one size fits all” strategy is short lived and seasonal for any enterprise. We in this study have proposed a dynamic platform capable of handling the challenges which are geared towards conventional stagnant business strategies in commercial world. The technical specification of the proposed platform is based on modern business intelligence tools and techniques. The study is focused towards investigation of exploiting the Big Data capabilities to develop a platform delivering costing, sourcing and tendering capabilities for industrial parts. While doing so, we have highlighted challenging issues of interoperability in the design paradigm of avalanche of data.