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Dr. Damien Trentesaux
université polytechnique hauts-de-france

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Research Keywords & Expertise

0 Cyber-Physical Systems
0 Logistics
0 Manufacturing
0 Sustainability
0 Transportation

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Manufacturing
control
Transportation
Cyber-Physical Systems
Logistics
Sustainability
Human-machine cooperation

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Short Biography

Damien Trentesaux is full professor at the LAMIH UMR CNRS 8201 research lab of the Université Polytechique Hauts-de-France (France). His areas of interest concern the sustainable control and optimization of discrete event systems (manufacturing, transport, logistics, and services) and their efficient and effective interaction with the human in the context of Industry 4.0 and industrial cyber-physical systems. Prof. Trentesaux has supervised 16 PhD thesis and is author and co-author of more than 200 peer-reviewed publications in journals, books, and chapters of books and conference proceedings.

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Journal article
Published: 17 August 2021 in Sustainability
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This article addresses the issue of the industrial performance model and its evolution to cope with the context of Industry 4.0. With its digitalisation, intelligent/autonomous systems and wealth of data, Industry 4.0 offers opportunities that can achieve objectives better. It also presents risks and uncertainties that question the autonomy of the systems, their interaction with humans and the use of available data. The hypothesis put forward in this work is that the efficiency–effectiveness–relevance performance triangle can no longer guarantee long-term performance under these conditions and needs to be associated with an ethical dimension that allows for the risks and uncertainties relating to Industry 4.0 to be considered. Ethics is therefore considered to extend the triangle to a tetrahedron. A brief analysis of current performance management will first show the limits of the current practice in the context of Industry 4.0. The frameworks that could overcome these limits in light of new needs are then recalled and discussed, leading to the choice of ethics, whose main definitions and use in the engineering field are also introduced. The proposed (efficiency–effectiveness–relevance–ethics tetrahedron-based methodology is illustrated through a case study related to an aeronautical supplier, regarding the consequences of the implementation of a MES (Manufacturing Execution System) in terms of product traceability and operator autonomy. The discussion and prospects finally conclude this study.

ACS Style

Lamia Berrah; Vincent Cliville; Damien Trentesaux; Claude Chapel. Industrial Performance: An Evolution Incorporating Ethics in the Context of Industry 4.0. Sustainability 2021, 13, 9209 .

AMA Style

Lamia Berrah, Vincent Cliville, Damien Trentesaux, Claude Chapel. Industrial Performance: An Evolution Incorporating Ethics in the Context of Industry 4.0. Sustainability. 2021; 13 (16):9209.

Chicago/Turabian Style

Lamia Berrah; Vincent Cliville; Damien Trentesaux; Claude Chapel. 2021. "Industrial Performance: An Evolution Incorporating Ethics in the Context of Industry 4.0." Sustainability 13, no. 16: 9209.

Conference paper
Published: 29 July 2021 in Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications
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Designing and using cyber-physical systems integrating humans put ethics at stakes. Meanwhile, even if works are done to assess the life-cycle of these systems and the technologies used to develop them, ensuring the ethics of cyber-physical and human systems remains insufficiently studied. The objective of this paper is to suggest a guideline to ensure ethics of such systems. A case study is proposed to illustrate the guideline. This guideline is at its first step of development and needs several improvements to gain maturity and applicability.

ACS Style

Damien Trentesaux. Ensuring Ethics of Cyber-Physical and Human Systems: A Guideline. Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications 2021, 223 -233.

AMA Style

Damien Trentesaux. Ensuring Ethics of Cyber-Physical and Human Systems: A Guideline. Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications. 2021; ():223-233.

Chicago/Turabian Style

Damien Trentesaux. 2021. "Ensuring Ethics of Cyber-Physical and Human Systems: A Guideline." Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications , no. : 223-233.

Journal article
Published: 10 April 2021 in Computers in Industry
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This editorial introduces this Special Issue on advances in research on digital interoperability and transformation in logistics and supply chain management. Eleven high-quality and original research works from both researchers and practitioners in the area have been selected to compose this Special Issue. This editorial first introduces the scientific context relevant to the Special Issue, then presents each of the eleven papers. From these papers, this editorial identifies several interesting prospective works, which are finally presented.

ACS Style

Shenle Pan; Damien Trentesaux; Duncan McFarlane; Benoit Montreuil; Eric Ballot; George Q. Huang. Digital interoperability and transformation in logistics and supply chain management: Editorial. Computers in Industry 2021, 129, 103462 .

AMA Style

Shenle Pan, Damien Trentesaux, Duncan McFarlane, Benoit Montreuil, Eric Ballot, George Q. Huang. Digital interoperability and transformation in logistics and supply chain management: Editorial. Computers in Industry. 2021; 129 ():103462.

Chicago/Turabian Style

Shenle Pan; Damien Trentesaux; Duncan McFarlane; Benoit Montreuil; Eric Ballot; George Q. Huang. 2021. "Digital interoperability and transformation in logistics and supply chain management: Editorial." Computers in Industry 129, no. : 103462.

Research article
Published: 25 March 2021 in Journal of Industrial and Production Engineering
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Manufacturers more and more need to customize their products to respond to customer demand and differentiate from competitors. The present paper deals with key questions related to the implementation of production control systems in a high product mix and/or high routing mix environment generated by product customization. ConWip (CONstant Work In Progress) provides a sustainable, effective and adaptive production control system. The objective of the paper is to help manufacturers to optimize their production control system in product customization manufacturing environments. Four models that generate different generic routings are presented and tested with a sample of data from an industrial case. These routings are implemented into Wipsim, an engineering tool, which allows the optimized parameters for each routing to be calculated. Our experiments show that our models generated worthwhile generic routings and help manufacturers choose among them, depending on their own products customization specific context.

ACS Style

Yann Jaegler; Anicia Jaegler; Fatima Zahra Mhada; Damien Trentesaux; Patrick Burlat. A new methodological support for control and optimization of manufacturing systems in the context of product customization. Journal of Industrial and Production Engineering 2021, 38, 341 -355.

AMA Style

Yann Jaegler, Anicia Jaegler, Fatima Zahra Mhada, Damien Trentesaux, Patrick Burlat. A new methodological support for control and optimization of manufacturing systems in the context of product customization. Journal of Industrial and Production Engineering. 2021; 38 (5):341-355.

Chicago/Turabian Style

Yann Jaegler; Anicia Jaegler; Fatima Zahra Mhada; Damien Trentesaux; Patrick Burlat. 2021. "A new methodological support for control and optimization of manufacturing systems in the context of product customization." Journal of Industrial and Production Engineering 38, no. 5: 341-355.

Review article
Published: 04 March 2021 in Computers in Industry
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Interoperability is playing an increasing role for today’s logistics and supply chain management (LSCM) because of the trends of cooperation or coopetition. Especially, digital interoperability concerning data or information exchange becomes a key enabler for the next evolutions that will massively rely upon digitalization, artificial intelligence, and autonomous systems. The notion of Physical Internet (PI) is one such evolution, an innovative worldwide logistic paradigm aimed at interconnecting and coordinating logistics networks for efficiency and sustainability. This paper investigates how digital interoperability can help interconnect logistics and supply networks as well as the operational solutions for sustainable development, and examines the new challenges and research opportunities for digital interoperability under the PI paradigm. To this end, we study the most relevant technologies for digital interoperability in LSCM, via a bibliometric analysis based on 208 papers published during 2010−2020. The results reveal that the present state-of-the-art solutions of digital interoperability are not fully aligned with PI requirements and show new challenges, research gaps and opportunities that need further discussion. Accordingly, several research avenues are suggested to advance research and applications in this area, and to achieve interconnection in logistics and supply networks for sustainability.

ACS Style

Shenle Pan; Damien Trentesaux; Duncan McFarlane; Benoit Montreuil; Eric Ballot; George Q. Huang. Digital interoperability in logistics and supply chain management: state-of-the-art and research avenues towards Physical Internet. Computers in Industry 2021, 128, 103435 .

AMA Style

Shenle Pan, Damien Trentesaux, Duncan McFarlane, Benoit Montreuil, Eric Ballot, George Q. Huang. Digital interoperability in logistics and supply chain management: state-of-the-art and research avenues towards Physical Internet. Computers in Industry. 2021; 128 ():103435.

Chicago/Turabian Style

Shenle Pan; Damien Trentesaux; Duncan McFarlane; Benoit Montreuil; Eric Ballot; George Q. Huang. 2021. "Digital interoperability in logistics and supply chain management: state-of-the-art and research avenues towards Physical Internet." Computers in Industry 128, no. : 103435.

Conference paper
Published: 03 March 2021 in Econometrics for Financial Applications
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The objective of this paper is to discuss issues and insights relevant to the ethical behaviour of future autonomous intelligent system merged in the human society. This discussion is done at the frontier of three domains: science, as the mean to imagine and design innovative technological solutions in the field of autonomous artificial systems; law, as the mean to control, forbid and promote what can be used in the human society or not from these technological solutions; and science-fiction, as the imaginary world where scientists and lawyers get consciously or not their inspirations, fears and dreams, driving their decisions and actions in the real world. Four issues are specifically discussed. The crossing of these domains illustrates that addressing ethics in AIS is an urgent need but remains incomplete if addressed from a single discipline or domain point of view.

ACS Style

Damien Trentesaux; Raphaël Rault; Emmanuel Caillaud; Arnaud Huftier. Ethics of Autonomous Intelligent Systems in the Human Society: Cross Views from Science, Law and Science-Fiction. Econometrics for Financial Applications 2021, 246 -261.

AMA Style

Damien Trentesaux, Raphaël Rault, Emmanuel Caillaud, Arnaud Huftier. Ethics of Autonomous Intelligent Systems in the Human Society: Cross Views from Science, Law and Science-Fiction. Econometrics for Financial Applications. 2021; ():246-261.

Chicago/Turabian Style

Damien Trentesaux; Raphaël Rault; Emmanuel Caillaud; Arnaud Huftier. 2021. "Ethics of Autonomous Intelligent Systems in the Human Society: Cross Views from Science, Law and Science-Fiction." Econometrics for Financial Applications , no. : 246-261.

Conference paper
Published: 03 March 2021 in Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future
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This study deals with ethical aspects of decision-making in the context of future industrial systems such as depicted by the Industry 4.0 principles. These systems involve a great number of interacting elements, with more or less autonomy. In this sense, ethics may become an important mean to ensure a long-term viable joint integration of humans and artificial elements in future industrial systems merged into the society. Two complementary views can be thus identified to integrate ethics in such future industrial systems. The first view conventionally defines ethics as a non-negotiable static set of conditions and rules to be met by the considered systems throughout their lifecycle. The second view assumes that ethics can be seen as a performance factor to which a KPI (Key Performance Indicator) is associated and which can, therefore, be more or less directly measured and lead to improvement through time. Starting from an overall definition of the concept of ethics, its conventional vision and its specifications regarding future industrial systems, these two views are exposed and discussed, leading to the establishment of some properties for the definition of a generic framework to handle ethics throughout decision-making processes. Concluding remarks and prospects are finally presented.

ACS Style

Lamia Berrah; Damien Trentesaux. Decision-Making in Future Industrial Systems: Is Ethics a New Performance Indicator? Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future 2021, 952, 231 -245.

AMA Style

Lamia Berrah, Damien Trentesaux. Decision-Making in Future Industrial Systems: Is Ethics a New Performance Indicator? Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. 2021; 952 ():231-245.

Chicago/Turabian Style

Lamia Berrah; Damien Trentesaux. 2021. "Decision-Making in Future Industrial Systems: Is Ethics a New Performance Indicator?" Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future 952, no. : 231-245.

Original article
Published: 01 March 2021 in Cognition, Technology & Work
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This paper addresses the engineering of the ethical behaviors of autonomous industrial cyber-physical human systems in the context of Industry 4.0. An ethical controller is proposed to be embedded into these autonomous systems, to enable their successful integration in the society and its norms. This proposed controller that integrates machine ethics is realized through three main strategies that utilize two ethical paradigms, namely deontology, and consequentialism. These strategies are triggered according to the type of event sensed and the state of the autonomous industrial cyber-physical human systems, their combination being potentially unknown or posing ethical dilemmas. Two case studies are investigated, that deal with a fire emergency, and two different contexts i.e. one with an autonomous train, and one with an autonomous industrial plant, are discussed to illustrate the controller utilization. The case studies demonstrate the potential benefits and exemplify the need to integrate ethical behaviors in autonomous industrial cyber-physical human systems already at the design phase. The proposed approach, use cases, and discussions make evident the need to address ethical aspects in new efforts to engineer industrial systems in the context of Industry 4.0.

ACS Style

Damien Trentesaux; Stamatis Karnouskos. Engineering ethical behaviors in autonomous industrial cyber-physical human systems. Cognition, Technology & Work 2021, 1 -14.

AMA Style

Damien Trentesaux, Stamatis Karnouskos. Engineering ethical behaviors in autonomous industrial cyber-physical human systems. Cognition, Technology & Work. 2021; ():1-14.

Chicago/Turabian Style

Damien Trentesaux; Stamatis Karnouskos. 2021. "Engineering ethical behaviors in autonomous industrial cyber-physical human systems." Cognition, Technology & Work , no. : 1-14.

Original article
Published: 24 January 2021 in Cognition, Technology & Work
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One objective of Industry 4.0 is to reach a better system performance as well as to have a better consideration of humans. This would be done by benefiting from knowledge and experience of humans, and balancing in a reactive way some complex or complicated tasks with intelligent systems. Several studies already dealt with such an objective, but few are done at a methodological level, which forbids, for example, the correct evaluation of design choices in terms of human awareness of the situation or mental workload when designing intelligent manufacturing systems integrating the human. Indeed, increasing the intelligence and autonomy of industrial systems and their composing entities (resources, products, robots…), as fostered by Industry 4.0, increases their overall complexity. This modification reduces the ability to understand the behaviors of these systems, and leads to the difficulty for humans not only to elaborate alternative decisions when required, but also to make effective decisions and understand their consequences. This paper evaluates such a design methodology, the Cognitive Work Analysis (CWA), and its applicability when designing an assistance system to support Human in the control of Intelligent Manufacturing System in Industry 4.0. Among several functions identified through the application of CWA, the assistant system might have to integrate a digital twin of the intelligent manufacturing system. The evaluation of the methodology through the one of the designed assistant systems is done using a micro-world, which is an intelligent manufacturing cell composed of intelligent mobile ground robots, products, and static production robots interacting together and with a human supervisor in charge of the reaching of several time-based and energy-based performances indicators. The assistant system embeds a digital twin of the intelligent manufacturing system. Twenty-three participants took part in experiments to evaluate the designed assistance system. First results show that the assistance system enables participants to have a correct awareness of the situation and a correct evaluation of their alternative decisions, while their mental workload is managed and expected production performances are reached. This paper contains an analysis of these experiments and points out some limits of the CWA method in the context of Industry 4.0, especially the lack of tool enabling to specify clearly the cooperation processes between the supervisor and the intelligent manufacturing system. This paper concludes with potential research avenues, the main one being the potential benefits of coupling CWA with human–machine cooperation principles to fine tune and adapt the cooperation between the human and the intelligent manufacturing system.

ACS Style

Marie-Pierre Pacaux-Lemoine; Quentin Berdal; Clément Guérin; Philippe Rauffet; Christine Chauvin; Damien Trentesaux. Designing human–system cooperation in industry 4.0 with cognitive work analysis: a first evaluation. Cognition, Technology & Work 2021, 1 -19.

AMA Style

Marie-Pierre Pacaux-Lemoine, Quentin Berdal, Clément Guérin, Philippe Rauffet, Christine Chauvin, Damien Trentesaux. Designing human–system cooperation in industry 4.0 with cognitive work analysis: a first evaluation. Cognition, Technology & Work. 2021; ():1-19.

Chicago/Turabian Style

Marie-Pierre Pacaux-Lemoine; Quentin Berdal; Clément Guérin; Philippe Rauffet; Christine Chauvin; Damien Trentesaux. 2021. "Designing human–system cooperation in industry 4.0 with cognitive work analysis: a first evaluation." Cognition, Technology & Work , no. : 1-19.

Articles
Published: 08 December 2020 in International Journal of Production Research
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Cross-docking is a logistics process in which products are unloaded through receiving docks and then transferred to shipping docks with almost no storage in between. In this paper, a mixed integer linear programming model (MILP) is proposed to optimise the scheduling, storage, assignment and sequencing of trucks at receiving and shipping docks for a problem inspired from a multiple-door cross-dock facility of an industrial partner with multiple temporary storage zones. The multiple storage zones are separated and located in the centre of the cross-dock handling different types of products. The objective is to minimise the total tardiness of inbound and outbound trucks. A heuristic (H) is proposed to find an initial solution. Then, three meta-heuristics are developed, namely Random Search (RS), Tabu Search (TS) and Simulated Annealing (SA) to improve the scheduling of trucks in order to minimise the tardiness of inbound and outbound trucks. Experimental results indicate that the three meta-heuristics (RS, TS and SA) are able to find good quality results within reasonable computational times. Finally, since SA showed the best performance compared to RS and TS, it was chosen to be compared to the current manual method using discrete event simulation.

ACS Style

Tarik Chargui; Abdelghani Bekrar; Mohamed Reghioui; Damien Trentesaux. Scheduling trucks and storage operations in a multiple-door cross-docking terminal considering multiple storage zones. International Journal of Production Research 2020, 1 -25.

AMA Style

Tarik Chargui, Abdelghani Bekrar, Mohamed Reghioui, Damien Trentesaux. Scheduling trucks and storage operations in a multiple-door cross-docking terminal considering multiple storage zones. International Journal of Production Research. 2020; ():1-25.

Chicago/Turabian Style

Tarik Chargui; Abdelghani Bekrar; Mohamed Reghioui; Damien Trentesaux. 2020. "Scheduling trucks and storage operations in a multiple-door cross-docking terminal considering multiple storage zones." International Journal of Production Research , no. : 1-25.

Original paper
Published: 26 November 2020 in Optimization Letters
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In job-shop manufacturing systems, an efficient production schedule acts to reduce unnecessary costs and better manage resources. For the same purposes, modern manufacturing cells, in compliance with industry 4.0 concepts, use material handling systems in order to allow more control on the transport tasks. In this paper, a job-shop scheduling problem in vehicle based manufacturing facility that is mainly related to job assignment to resources is addressed. The considered job-shop production cell has two types of resources: processing resources that accomplish fabrication tasks for specific products, and transporting resources that assure parts’ transport to the processing area. A Variable Neighborhood Search algorithm is used to schedule product manufacturing and handling tasks in the aim to minimize the maximum completion time of a job set and an improved lower bound with new calculation method is presented. Experimental tests are conducted to evaluate the efficiency of the proposed approach.

ACS Style

Moussa Abderrahim; Abdelghani Bekrar; Damien Trentesaux; Nassima Aissani; Karim Bouamrane. Bi-local search based variable neighborhood search for job-shop scheduling problem with transport constraints. Optimization Letters 2020, 1 -26.

AMA Style

Moussa Abderrahim, Abdelghani Bekrar, Damien Trentesaux, Nassima Aissani, Karim Bouamrane. Bi-local search based variable neighborhood search for job-shop scheduling problem with transport constraints. Optimization Letters. 2020; ():1-26.

Chicago/Turabian Style

Moussa Abderrahim; Abdelghani Bekrar; Damien Trentesaux; Nassima Aissani; Karim Bouamrane. 2020. "Bi-local search based variable neighborhood search for job-shop scheduling problem with transport constraints." Optimization Letters , no. : 1-26.

Review
Published: 04 November 2020 in Sustainability
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A systematic review of the literature is presented related to the usage of blockchain technology (BCT) for cyber-threats in the context of Industry 4.0. BCT plays a crucial role in creating smart factories and it is recognized as a core technology that triggers a disruptive revolution in Industry 4.0. Beyond security, authentication, asset tracking and the exchange of smart contracts, BCTs allow terminals to exchange information according to mutually agreed rules within a secured manner. Consequently, BCT can play a crucial role in industrial sustainability by preserving the assets and the environment and by enhancing the quality of life of citizens. In this work, a classification of the most important cyber-attacks that occurred in the last decade in Industry 4.0 is proposed based on four classes. The latter classes cover scanning, local to remote, power of root and denial of service (DoS). BCT is also defined and various types belong to BCT are introduced and highlighted. Likewise, BCT protocols and implementations are discussed as well. BCT implementation includes linear structure and directed acyclic graph (DAG) technology. Then, a comparative study of the most relevant works based on BCT in Industry 4.0 is conducted in terms of confidentiality, integrity, availability, privacy and multifactor authentication features. Our review shows that the integration of BCT in industry can ensure data confidentiality and integrity and should be enforced to preserve data availability and privacy. Future research directions towards enforcing BCT in the industrial field by considering machine learning, 5G/6G mobile systems and new emergent technologies are presented.

ACS Style

Sidi ElMamy; Hichem Mrabet; Hassen Gharbi; Abderrazak Jemai; Damien Trentesaux. A Survey on the Usage of Blockchain Technology for Cyber-Threats in the Context of Industry 4.0. Sustainability 2020, 12, 9179 .

AMA Style

Sidi ElMamy, Hichem Mrabet, Hassen Gharbi, Abderrazak Jemai, Damien Trentesaux. A Survey on the Usage of Blockchain Technology for Cyber-Threats in the Context of Industry 4.0. Sustainability. 2020; 12 (21):9179.

Chicago/Turabian Style

Sidi ElMamy; Hichem Mrabet; Hassen Gharbi; Abderrazak Jemai; Damien Trentesaux. 2020. "A Survey on the Usage of Blockchain Technology for Cyber-Threats in the Context of Industry 4.0." Sustainability 12, no. 21: 9179.

Journal article
Published: 21 September 2020 in Energies
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The industry 4.0 concepts are moving towards flexible and energy efficient factories. Major flexible production lines use battery-based automated guided vehicles (AGVs) to optimize their handling processes. However, optimal AGV battery management can significantly shorten lead times. In this paper, we address the scheduling problem in an AGV-based job-shop manufacturing facility. The considered schedule concerns three strands: jobs affecting machines, product transport tasks’ allocations and AGV fleet battery management. The proposed model supports outcomes expected from Industry 4.0 by increasing productivity through completion time minimization and optimizing energy by managing battery replenishment. Experimental tests were conducted on extended benchmark literature instances to evaluate the efficiency of the proposed approach.

ACS Style

Moussa Abderrahim; Abdelghani Bekrar; Damien Trentesaux; Nassima Aissani; Karim Bouamrane. Manufacturing 4.0 Operations Scheduling with AGV Battery Management Constraints. Energies 2020, 13, 4948 .

AMA Style

Moussa Abderrahim, Abdelghani Bekrar, Damien Trentesaux, Nassima Aissani, Karim Bouamrane. Manufacturing 4.0 Operations Scheduling with AGV Battery Management Constraints. Energies. 2020; 13 (18):4948.

Chicago/Turabian Style

Moussa Abderrahim; Abdelghani Bekrar; Damien Trentesaux; Nassima Aissani; Karim Bouamrane. 2020. "Manufacturing 4.0 Operations Scheduling with AGV Battery Management Constraints." Energies 13, no. 18: 4948.

Chapter
Published: 06 February 2020 in Advanced Microsystems for Automotive Applications 2016
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Researchers and industrialists are working to propose user centric transportation services based on the development of autonomous systems. This paper deals with the evolution of human-machine cooperation processes within such a context. The concept of peer-to-peer cooperation is proposed. Contrarily to classical approaches, the suggested approach considers that an autonomous system is a peer, able to trigger cooperation needs with the human to reach its own objectives. This concept is applied to the maintenance of an autonomous train that cooperates with different maintenance actors. This chapter specifies and proposes first models with an ongoing implementation using augmented reality. An illustrative maintenance situation is finally discussed.

ACS Style

Corentin Gely; Damien Trentesaux; Antoine Le Mortellec. Maintenance of the Autonomous Train: A Human-Machine Cooperation Framework. Advanced Microsystems for Automotive Applications 2016 2020, 135 -148.

AMA Style

Corentin Gely, Damien Trentesaux, Antoine Le Mortellec. Maintenance of the Autonomous Train: A Human-Machine Cooperation Framework. Advanced Microsystems for Automotive Applications 2016. 2020; ():135-148.

Chicago/Turabian Style

Corentin Gely; Damien Trentesaux; Antoine Le Mortellec. 2020. "Maintenance of the Autonomous Train: A Human-Machine Cooperation Framework." Advanced Microsystems for Automotive Applications 2016 , no. : 135-148.

Article
Published: 22 January 2020 in Journal of Intelligent Manufacturing
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The flexibility claimed by the next generation production systems induces a deep modification of the behaviour and the core itself of the control systems. Over-connectivity and data management abilities targeted by Industry 4.0 paradigm enable the emergence of more flexible and reactive control systems, based on the cooperation of autonomous and connected entities in the decision-making process. From most relevant articles extracted from existing literature, a list of 10 key enablers for Industry 4.0 is first presented. During the last 20 years, the holonic paradigm has become a major paradigm of Intelligent Manufacturing Systems. After the presentation of the holonic paradigm and holon properties, this article highlights how historical and current holonic control architectures can partly fulfil Industry 4.0 key enablers. The remaining unfulfilled key enablers are then the subject of an extensive discussion on the remaining research perspectives on holonic architectures needed to achieve a complete support of Industry 4.0.

ACS Style

William Derigent; Olivier Cardin; Damien Trentesaux. Industry 4.0: contributions of holonic manufacturing control architectures and future challenges. Journal of Intelligent Manufacturing 2020, 32, 1797 -1818.

AMA Style

William Derigent, Olivier Cardin, Damien Trentesaux. Industry 4.0: contributions of holonic manufacturing control architectures and future challenges. Journal of Intelligent Manufacturing. 2020; 32 (7):1797-1818.

Chicago/Turabian Style

William Derigent; Olivier Cardin; Damien Trentesaux. 2020. "Industry 4.0: contributions of holonic manufacturing control architectures and future challenges." Journal of Intelligent Manufacturing 32, no. 7: 1797-1818.

Journal article
Published: 01 January 2020 in IFAC-PapersOnLine
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Industry 4.0 provokes a shift in the way production systems are designed and used that raises ethical questions. This shift stems from several features relevant to Industry 4.0, specifically the increase of the importance of the digital world and the fostering of the development of more autonomous and intelligent systems that will interact and interoperate with humans in more open production environments. The first aim of this paper is to study to what extent Industry 4.0 impacts ethics. The second one is to raise the awareness of researchers regarding potential ethical risks when designing and evaluating future Industry 4.0 compliant production systems. For that purpose, the ethical stakes of industry 4.0 are first presented. Then, an overview of related work is done to evaluate the different scientific fields potentially contributing to the study of the ethical dimension in Industry 4.0. A discussion is finally proposed from this overview. The main conclusion of this discussion concerns the urgent need to address the ethical dimension of scientific contributions relevant to Industry 4.0, given the lack of work in that field.

ACS Style

Damien Trentesaux; Emmanuel Caillaud. Ethical stakes of Industry 4.0. IFAC-PapersOnLine 2020, 53, 17002 -17007.

AMA Style

Damien Trentesaux, Emmanuel Caillaud. Ethical stakes of Industry 4.0. IFAC-PapersOnLine. 2020; 53 (2):17002-17007.

Chicago/Turabian Style

Damien Trentesaux; Emmanuel Caillaud. 2020. "Ethical stakes of Industry 4.0." IFAC-PapersOnLine 53, no. 2: 17002-17007.

Journal article
Published: 25 December 2019 in IFAC-PapersOnLine
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Physical Internet (PI) was introduced to transform the current logistics systems into a global sustainable logistics network. This paper focuses on two-way scheduling/grouping in both sections of a Road-Rail PI-hub (Road→Rail and Rail→ Road). It consists in scheduling both inbound and outbound trucks as well as grouping of PI-containers in the train’s wagons and outbound trucks. The problem is formulated as a mixed integer programming model (MILP). Then, a simulation-optimization (SO) approach is proposed to provide robust solutions which remain feasible in spite of perturbations. The proposed approach uses a Modified Threshold Accepting meta-heuristic (MTA) as an optimizer combined with an embedded perturbation simulator to ensure the robustness of the solutions. Results show that the proposed SO approach provides robust solutions able to handle perturbations.

ACS Style

Tarik Chargui; Abdelghani Bekrar; Mohamed Reghioui; Damien Trentesaux. A Simulation-Optimization Approach for Two-Way Scheduling/Grouping in a Road-Rail Physical Internet Hub. IFAC-PapersOnLine 2019, 52, 1644 -1649.

AMA Style

Tarik Chargui, Abdelghani Bekrar, Mohamed Reghioui, Damien Trentesaux. A Simulation-Optimization Approach for Two-Way Scheduling/Grouping in a Road-Rail Physical Internet Hub. IFAC-PapersOnLine. 2019; 52 (13):1644-1649.

Chicago/Turabian Style

Tarik Chargui; Abdelghani Bekrar; Mohamed Reghioui; Damien Trentesaux. 2019. "A Simulation-Optimization Approach for Two-Way Scheduling/Grouping in a Road-Rail Physical Internet Hub." IFAC-PapersOnLine 52, no. 13: 1644-1649.

Journal article
Published: 25 December 2019 in IFAC-PapersOnLine
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Complex system involves a large number of diverse entities that evolve in a dynamic context. It becomes important for such systems to be able to face this dynamism and respond to different foreseen or unforeseen disruptions in the current industrial, societal and environmental contexts. From our perspective, one can identify different kinds of relevant scientific challenges depending on the time at which the complex system is studied, depending on the occurrences dates of disruptions and depending on the phase of a decision-making process. This paper suggests structuring the different works coping with disruptions in complex systems using a generic framework organized according to the occurrence time of disruptions and on the concerned decision levels in the complex system. Three examples from different areas (health care, physical internet and manufacturing systems) are presented to illustrate the framework. This paper concludes with a set of research prospects.

ACS Style

Sondes Chaabane; Damien Trentesaux. Coping with disruptions in complex systems: a framework. IFAC-PapersOnLine 2019, 52, 2413 -2418.

AMA Style

Sondes Chaabane, Damien Trentesaux. Coping with disruptions in complex systems: a framework. IFAC-PapersOnLine. 2019; 52 (13):2413-2418.

Chicago/Turabian Style

Sondes Chaabane; Damien Trentesaux. 2019. "Coping with disruptions in complex systems: a framework." IFAC-PapersOnLine 52, no. 13: 2413-2418.

Journal article
Published: 24 December 2019 in IFAC-PapersOnLine
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With the increase in technological capabilities, system designers can imagine new possibilities for Humans to interact with smart systems and delegate some of their tasks to these systems. The interactions and support provided by the systems would be so useful that some authors already propose considering them as symbiotic. The objective of this paper is to examine the ethical risks relevant to designing symbiotic systems in the context of Industry 4.0. These risks are presented and discussed. The paper addresses these risks using the human-machine cooperation approach, which allows a detailed analysis of all the kinds of interactions between humans and machines. Three use cases derived from Industry 4.0 objectives were studied within the framework of the ANR HUMANISM project (Human-Machine cooperation for flexible production Systems). These use cases are detailed to underline the interest of this approach regarding the identification, suppression or mitigation of ethical risks.

ACS Style

Marie-Pierre Pacaux-Lemoine; Damien Trentesaux. ETHICAL RISKS OF HUMAN-MACHINE SYMBIOSIS IN INDUSTRY 4.0: INSIGHTS FROM THE HUMAN-MACHINE COOPERATION APPROACH. IFAC-PapersOnLine 2019, 52, 19 -24.

AMA Style

Marie-Pierre Pacaux-Lemoine, Damien Trentesaux. ETHICAL RISKS OF HUMAN-MACHINE SYMBIOSIS IN INDUSTRY 4.0: INSIGHTS FROM THE HUMAN-MACHINE COOPERATION APPROACH. IFAC-PapersOnLine. 2019; 52 (19):19-24.

Chicago/Turabian Style

Marie-Pierre Pacaux-Lemoine; Damien Trentesaux. 2019. "ETHICAL RISKS OF HUMAN-MACHINE SYMBIOSIS IN INDUSTRY 4.0: INSIGHTS FROM THE HUMAN-MACHINE COOPERATION APPROACH." IFAC-PapersOnLine 52, no. 19: 19-24.

Journal article
Published: 22 November 2019 in Energies
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Currently, enhancing sustainability, and in particular reducing energy consumption, is a huge challenge for manufacturing enterprises. The vision of the fourth industrial revolution (so-called “industry 4.0”) is not only to optimize production and minimize costs, but also to reduce energy consumption and enhance product life-cycle management. To address this challenge, a multi-agent architecture aimed at elaborating predictive and reactive energy-efficient scheduling through collaboration between cyber physical production and energy systems is proposed in this paper. Smart, sustainable decision tools for cyber physical production systems (CPPS) and cyber physical energy systems (CPES) are proposed. The decision tools are data-driven, agent-based models with dynamic interaction. The main aim of agent behaviours in the cyber part of CPPS is to find a predictive and reactive energy-efficient schedule. The role of agents in CPES is to control the energy consumption of connected factories and switch between the different renewable energy sources. Dynamic mechanisms in CPPS and CPES are proposed to adjust the energy consumption of production systems based on the availability of the renewable energy. The proposed approach was validated on a physically distributed architecture using networked embedded systems and real-time data sharing from connected sensors in each cyber physical systems. A series of instances inspired from the literature were tested to assess the performance of the proposed method. The results prove the efficiency of the proposed approach in adapting the energy consumption of connected factories based on a real-time energy threshold.

ACS Style

Maroua Nouiri; Damien Trentesaux; Abdelghani Bekrar. Towards Energy Efficient Scheduling of Manufacturing Systems through Collaboration between Cyber Physical Production and Energy Systems. Energies 2019, 12, 4448 .

AMA Style

Maroua Nouiri, Damien Trentesaux, Abdelghani Bekrar. Towards Energy Efficient Scheduling of Manufacturing Systems through Collaboration between Cyber Physical Production and Energy Systems. Energies. 2019; 12 (23):4448.

Chicago/Turabian Style

Maroua Nouiri; Damien Trentesaux; Abdelghani Bekrar. 2019. "Towards Energy Efficient Scheduling of Manufacturing Systems through Collaboration between Cyber Physical Production and Energy Systems." Energies 12, no. 23: 4448.