Host Research Group
FR3_Production Systems Group - IMS LAB_Bruno Vallespir
Bruno Vallespir
+33 5 4000 2408
bruno.vallespir@ims-bordeaux.fr
Group description
The research activities of the Production systems group are structured in three themes representing the fields of competence established over time:
- Enterprise Modelling and Engineering (MEI),
- Production Systems Control (PSP),
- Design Engineering (ICO).
Through these three themes, the scientific objective of the Production Engineering group is to provide concepts and tools for production systems engineering following three key words: modelling, performance and control for distributed systems. The strong current trends revolve around distributed systems, factory of the future and distributed simulation.
The MEI theme focuses more specifically on the development of models, simulations and methods for the engineering of companies and, more generally, of social-technical ecosystems. This research is based on past results (GRAI method, ECOGRAI), on results of European projects (INTEROP, ATHENA, MSEE, etc.) and on the participation in the activities of international learned societies (IFIP, IFAC, Interop-VLab, SCS, ...). The results of research on interoperability have led to two international standards (ISO 11354-1: EI framework and ISO 11354-2: EI Maturity model).
Recent scientific developments: interoperability modelling of technico-social systems, modelling of complex processes and co-simulation of interoperable systems, model-driven approaches and performance evaluation.
The PSP theme focuses on the management of production and transport activities. It focuses more specifically on the study of tactical and operational levels of supply chain planning. The methodological approaches implemented are based on mathematical modelling by linear programming, optimisation by approximate methods (metaheuristics) and experimental validation based on case studies or test problems from the literature.
Recent scientific developments: cooperative supply chain planning, vehicle routing planning in freight transport.
The ICO theme is centred on the study of the product life cycle and its scientific objective is to provide concepts and tools, particularly modelling and methodological tools, in order to improve the design management. One of the fundamental characteristics of the research carried out within ICO is to give a central place to "human" as an "actor" (thus creating his own activities and knowledge) in business processes such as design, innovation, etc. or more informal processes such as collaboration, learning, transmission, ingenuity, etc.
The research activities of the Production systems group are structured in three themes representing the fields of competence established over time:
- Enterprise Modelling and Engineering (MEI),
- Production Systems Control (PSP),
- Design Engineering (ICO).
Through these three themes, the scientific objective of the Production Engineering group is to provide concepts and tools for production systems engineering following three key words: modelling, performance and control for distributed systems. The strong current trends revolve around distributed systems, factory of the future and distributed simulation.
The MEI theme focuses more specifically on the development of models, simulations and methods for the engineering of companies and, more generally, of social-technical ecosystems. This research is based on past results (GRAI method, ECOGRAI), on results of European projects (INTEROP, ATHENA, MSEE, etc.) and on the participation in the activities of international learned societies (IFIP, IFAC, Interop-VLab, SCS, ...). The results of research on interoperability have led to two international standards (ISO 11354-1: EI framework and ISO 11354-2: EI Maturity model).
Recent scientific developments: interoperability modelling of technico-social systems, modelling of complex processes and co-simulation of interoperable systems, model-driven approaches and performance evaluation.
The PSP theme focuses on the management of production and transport activities. It focuses more specifically on the study of tactical and operational levels of supply chain planning. The methodological approaches implemented are based on mathematical modelling by linear programming, optimisation by approximate methods (metaheuristics) and experimental validation based on case studies or test problems from the literature.
Recent scientific developments: cooperative supply chain planning, vehicle routing planning in freight transport.
The ICO theme is centred on the study of the product life cycle and its scientific objective is to provide concepts and tools, particularly modelling and methodological tools, in order to improve the design management. One of the fundamental characteristics of the research carried out within ICO is to give a central place to "human" as an "actor" (thus creating his own activities and knowledge) in business processes such as design, innovation, etc. or more informal processes such as collaboration, learning, transmission, ingenuity, etc.
Recent scientific developments: tools for the management and maturation of innovation, methods to support the co-transformation of information systems, shared knowledge repositories within heterogeneous work situations, design of a sustainable continuous improvement process for complex systems.
Keywords
- Information systems
- Decision making
- Reconfigurability
- Mobility
- Lean management
- Continuous improvement
- Digital Twin
- Hybrid Simulation
- Artificial Intelligence
- Cyber Physical Systems
Team Description
-
Vallespir Bruno (Principal Investigator, Co-Principal Investigator RL1, RL3)
ORCID: 0000-0001-9032-9763
-
Deschamps Jean-Christophe (Co-Principal Investigator RL2)
ORCID: 0000-0003-3764-4793
-
Zouggar-Amrani Anne (Co-Principal Investigator RL3)
ORCID: 0000-0002-2607-2817
-
Traoré Mamadou Kaba (Co-Principal Investigator RL4)
ORCID: 0000-0001-9464-6416
-
Ducq Yves (Research staff RL1)
ORCID: 0000-0001-5144-5876
-
François Julien (Research staff RL2)
ORCID: 0000-0002-9537-6806
-
Gorecki Simon (Research staff RL4)
ORCID: 0000-0001-9219-5922
-
Poursoltan Milad (PHD Students RL1, RL4)
-
Urquia Ilse (PHD Students RL2)
-
Pinède Nathalie (Research staff RL1)
ORCID: 0000-0002-5381-5524
-
Couture Nadine (Research staff RL1)
ORCID: 0000-0001-7959-5227
-
Perry Nicolas (Research staff RL2)
ORCID: 0000-0003-3215-4867
-
Alix Thècle (Research staff RL2)
ORCID: 0000-0002-9632-184X
Projects
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MSEE
Pl: Yves Ducq
Funding Agency*: EU – FP7
Ongoing: no
-
I4EU
Pl: Traoré Mamadou Kaba
Funding Agency*: EU – Erasmus+ Strategic Partnerships
Ongoing: yes
-
BEST
Pl: Vallespir Bruno
Funding Agency*: RE – Bordeaux Univ.
Ongoing: yes
-
Portage
Pl: Dupas Rémy
Funding Agency*: RE – Regional council & industrial contracts
Ongoing: yes
-
DiamantR
Pl: Nicolas Perry
Funding Agency*: RE - Regional council & industrial contracts
Ongoing: no
Publications
-
Vallespir B., Ducq Y., = Enterprise Modelling: from early languages to models transformation, International Journal of Production Research, 56(8), pp. 2878-2896, 2018
10.1080/00207543.2017.1418985 -
Alix T., Benama Y., Perry N., = A framework for the design of a reconfigurable and mobile manufacturing system, Procedia manufacturing, 35, pp. 304-309, 2019
10.1016/jpromfg.2019.05.044 -
Possik J., Zacharewicz G., Zouggar-Amrani A., Vallespir B., = Lean Techniques impact evaluation Methodology based on a Co-Simulation framework for Manufacturing Systems, International Journal of Computer Integrated Manufacturing,, 2021
10.1080/0951192X.2021.1972468 -
Wang Y., Zacharewicz G., Traore M.K., Chen D., = An Integrative Approach to Simulation Model Discovery: Combining System Theory, Process Mining and Fuzzy Logic, Journal Of Intelligent & Fuzzy Systems, 34(1), pp. 477-490, 2018
10.3233/JIFS-17403 -
Aliyu H.O., Maïga O., Traore M.K., = The High Level Language for System Specification: A Model-Driven Approach to Systems Engineering, International Journal Of Modeling, Simulation, And Scientific Computing, 7(1), p. 1641003 (35 p.), 2016
10.1142/S1793962316410038
Research Lines
INTELLIGENT, FLEXIBLE & EFFICIENT PRODUCTION SYSTEMS
Enterprise information systems and management models integrating bigdata and IoT
- The information systems of industrial companies, which today are mainly organized on the basis of Enterprise Resources Planning systems (ERP) are often considered monolithic and rigid. Two fundamental questions emerge today: How can the logic of these systems accommodate an organization where all the actors communicate and are data providers? How can we integrate the fact that all resources will be increasingly intelligent (machines, products) and take decisions that have hitherto been the responsibility of a separate management system? One may wonder about the capacity of these systems to meet the needs of complex industrial systems composed solely of Cyber-Physical Systems (CPS). Concurrently, the industry of the future is an opportunity to remember that a company is above all a human society, a place of informal behaviour and exchanges.
- The issues arising concern:
- the "enterprise information system model" in an age of all-out communication, IoT and CPS,
- the coverage of this model (integration of suppliers, customers, etc.),
- the integration of informal aspect of the organization,
- the decision-making model based on a distributed intelligence,
- the new modes of management emerging in connection with AI.
- This research needs a cross-disciplinary perspective, merging SSH, industrial engineering and IT.
Design of autonomous, mobile and reconfigurable industrial systems
- In a world where the variability is the rule, defining a nominal, stable response is not enough. Agility and resilience have become crucial performances for maintaining competitiveness and the reconfigurability of production systems is a strategic axis for the development of the plants of the future. An industrial system with such properties represents the next generation of production systems, coming after flexible ones.
- This research addresses the following issues:
- Product/process/organization co-design: integration into design and production of the constraints related to the reconfigurability of the process and the organization,
- Interoperability: physical and informational interoperability of heterogeneous functional production blocks with high variability of states, decision-making, cooperative action, products, resources and operators,
- Co-decision between resource implementation and activity planning: mobility-based resource implementation, multi-nature flow management, multiscale analysis and management approaches (from the component to the supply chain), dynamics of reconfiguration.
- The response needs:
- to develop a reference framework using the Cyber-Physical System concept,
- to propose a decision and performance evaluation model,
- to develop a simulation platform allowing reconfiguration scenarios to be tested.
- Based on works already started on the subject of Reconfigurable manufacturing systems design, the studies will firstly focus on consolidating the first results.
Lean 4.0: Integration of industry 4.0 technologies and Lean management
- Lean management (LM) is considered as a methodical approach to organize and optimize the production flow aiming at realizing a continuous value stream to increase the quality and improve the reactivity while reducing the wastes and non-value added activities. It is a mature system used for more than 60 years in Japan and more than 30 years in Europe. Concurrently, Industry 4.0 (I4) is a global concept aiming to design and create the enterprise of the future and smart factories. It focusses on the technology-driven vision combining physical and cyber worlds through digital technologies. I4 grasps the attention of many researchers and practitioners. Indeed, there is an urgent necessity to clarify the relationships and complementarities between these two approaches.
- Research works evoke the possible conjunction between both research axes, give examples of leading LM and I4 in conjunction and relate relevant findings indicating that European manufacturers that aim to adopt higher levels of I4 must concurrently implement Lean production as a way to support process improvements.
- The proposed research will study the combination between the two domains following two different paths: 1) I4 technologies are essential followed by LM techniques and 2) LM is a prerequisite to initiate I4 transformation.
DIGITAL AND CONNECTED FACTORY
Digital twins for the Factory of the future
- Factories in the future will increasingly operate on large, time-varying, heterogeneous data (including raw data, information models and business knowledge). Such systems are referenced under the umbrella of Cyber Physical Systems. Their proper instrumentation (through distributed sensors and actuators) in real environments produce Big Data in records of processes and human interventions, which can be saved in distributed repositories. The data-driven knowledge is used to reflect on the structure and behaviour of the system under consideration, through the mining of models that are amenable to simulation and validation.
- Accordingly with these concerns, this research focuses on the development of digital twins for the Factory of the future. A digital twin is a model of a real system, which automatically learns and continually updates, in order to represent the dynamics of the system in near real time, using sensor data reflecting various aspects of its operating conditions, human experts with relevant domain knowledge, and its environment. As such, a better synergy between Artificial Intelligence (AI) and simulation, with the support of the Internet of Things (IoT), Virtual/Augmented Reality (VR/AR), and High Performance Computing (HPC), enables the design of high-fidelity simulations, which can be used to better explore various alternatives to decision-making.
The Production systems group has partnerships with two research structures in the Basque Country.
The first is ESTIA, an engineering school based in Bidart. These relations have existed since the creation of the school (and even before) and two ESTIA research scientists are also attached to the IMS Production systems group.
The second structure is Ikerlan in Mondragon. The relations have existed for at least 30 years. Today, Ikerlan is a member of the Spanish pole of the Interop-Vlab virtual laboratory, a European structure concerned with enterprise interoperability and managed by the University of Bordeaux (Yves Ducq (president) and Guy Doumeingts (general manager) are members of the Production systems group).
There is no formal relationship between the Production systems group and UPV today but the Production systems group is quite open to establishing such relationships on the topics of industrial organisation and the industry of the future. This type of relationships is favoured within the framework of the New Aquitaine, Euskadi, Navarre Euroregion.