Architectures collaboratives pour l'aide à la décision dans les entreprises en réseau

Abstract : The problematic of this thesis concerns mainly the development of simulation and decision-making models and architectures for the collaborative enterprise (supply chain, clusters...). My researches started fifteen years ago by several works about the analysis and performance evaluation of production and manufacturing systems. After I have studied the different approaches and methods for the enterprise modeling and the manufacturing control, I proposed in my PhD a simulation model which integrates a Discrete-Event Simulator for the analysis of the physical processes, and a multi-agent system for the decisional and the organizational processes. The cognitive agents include some learning algorithms and case based mechanisms to simulate the decision makers reasoning processes. This model was dedicated to the intra-enterprise and allowed us to better understand the complexity of the production system and evaluate its performance after some organizational changes (Push/Pull system, Just in Time, Kanban...). After this first phase of work, I have enriched the proposed model to take into account the interactions between the enterprises within the supply chain. The main idea was to propose a distributed simulation model to evaluate the impact of the information sharing on the global performance of the whole supply chain. For that, we proposed an information system architecture connected to a simulation model to build a distributed Decision Support System (DSS). This architecture has been developed in two PhD thesis (co-supervised with Professor Abdelaziz Bouras) and validated in a research project (COPILOTES) and in different industrial applications. I also worked on another research problematic, which concerns the integration of information systems and knowledge management. In fact, the management of the collaborative processes in the supply chain supposes that there is an alignment of the information systems (ERP, PLM, MES...) to the business processes of the companies. Efficient information systems facilitate the data and knowledge sharing between the actors of the systems. The current information systems, as the PLM (Product Lifecycle System), are defined to collect, store, treat, and share data and information related to the business processes and the product for the whole lifecycle. But it is still difficult to make these systems interact and communicate easily. In this context, we worked on different research subjects related to this alignment and supported by industrial and research projects. Four PhD works are presented in this thesis, two of them are focusing on applications for Information Systems Integration, and the two others on knowledge management systems for supply chain and product lifecycle. The added value and the originality of these works are the approach that we used, combining computer sciences models, and architectures with management and decision making theories; mixing engineering and human sciences approaches and methodologies. The evolution of my research works could be presented and summarized in three main dimensions, corresponding to the enlargement of the problematic, from the simulation models for the decision making in the production system (intra-enterprise) to the modeling of the collaborative processes and the distributed decision making for the supply chain and the product lifecycle management (inter-enterprise): a. Development of simulation models and decision support systems to analyze the dynamic of industrial organizations and the evaluation of their performance. The main theories and approaches used are: mathematical models (operational research), multi-criteria analysis, decision theories, multi-agent systems, distributed simulation... b. Development of architectures and technical data referential for the information systems alignment and the data management: Model Driven Application (MDA), Interoperability, Services Oriented Applications (SOA)... c. Development of Knowledge Management Systems to support the collaborative processes in the virtual enterprise (supply chain, clusters...). The main methods and tools used are: hybrids methods for knowledge engineering, models for knowledge capitalization, agent models for the cooperation/negotiation for the collaborative processes, standards for long term knowledge retention (OAIS)... These three dimensions converge towards a larger paradigm, which concerns the decision support systems for the enterprise networking, the paradigm of Agile and Sustainable enterprises. The enterprise performance requires new reactive and collaborative organizations and a good synchronization of the information systems; and this to be able to connect themselves to international supply chain and to develop new product development projects, and enhance new efficient partnerships easily reconfigurable.
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Habilitation à diriger des recherches
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Yacine Ouzrout. Architectures collaboratives pour l'aide à la décision dans les entreprises en réseau. Modélisation et simulation. Université Lumière - Lyon II, 2012. ⟨tel-00793994⟩

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