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[EN] The urgent need for sustainable development is imposing radical changes in the way manufacturing systems are designed and implemented. The overall sustainability in industrial activities of manufacturing companies must be achieved at the same time that they face unprecedented levels of global competition. Therefore, there is a well-known need for tools and methods that can support the design and implementation of these systems in an effective way. This paper proposes an engineering method that helps researchers to design sustainable intelligent manufacturing systems. The approach is focused on the identification of the manufacturing components and the design and integration of sustainability-oriented mechanisms in the system specification, providing specific development guidelines and tools with built-in support for sustainable features. Besides, a set of case studies is presented in order to assess the proposed method., This research was supported by research projects TIN2015-65515-C4-1-R and TIN2016-80856-R from the Spanish government. The authors would like to acknowledge T. Bonte for her contribution to the NetLogo simulator of the AIP PRIMECA cell.

IF=3.035; International audience; Nowadays, industrials are seeking for models and methods that are not only able to provide efficient overall production performance, but also for reactive systems facing a growing set of unpredicted events. One important research activity in that field focuses on holonic/multi-agent control systems that couple predictive/proactive and reactive mechanisms into agents/holons. Meanwhile, not enough attention is paid to the optimization of this coupling. The aim of this paper is to depict the main research challenges that are to be addressed before expecting a large industrial dissemination. Relying on an extensive review of the state of the art, three main challenges are highlighted: the estimation of the future performances of the system in reactive mode, the design of efficient switching strategies between predictive and reactive modes and the design of efficient synchronization mechanisms to switch back to predictive mode. indicator of the production system, discrete-event observer, flexible manufacturing system.

In this paper, we present the system architecture of a flexible manufacturing planning and control system, named EtoPlan. The concept is based on the holonic control approach of building multiple and temporary hierarchies (holarchies). This paper describes the system architecture for flexible planning and control of activities and (groups of) Resources in a manufacture-to-order environment. The system architecture consists of generic control modules that can be applied on different hierarchical levels and for different kinds of manufacturing activities. The main function of the Resource Controller is the Determine Applicability function.

In Service Orientation in Holonic and Multi-Agent Manufacturing, Preprints of the International Workshop SOHOMA `14, November 5-6, 2014, Nancy, France, Theodor Borangiu (editor), pp. 310, ISBN: 978-973-720-550-6, A.G.I.R. 2014; International audience; Nowadays, industrials are seeking for models and methods that are not only able to provide efficient overall production performance, but also reac-tive facing a growing set of unpredicted events. One important research activity in that field focuses on holonic/multi-agent control systems that couple predic-tive/proactive and reactive mechanisms into agents/holons. Meanwhile, not enough attention is paid to the optimization of this coupling. The aim of this paper is to depict the main research challenges that are to be addressed before expecting a large industrial dissemination. Relying on an extensive review of the state of the art, three main challenges are highlighted: the estimation of the future performances of the system in reactive mode, the design of efficient switching strategies between predictive and reactive modes and the design of efficient synchronization mechanisms to switch back to predictive mode.

International audience; This paper introduces and opens the debate on the role of “product-driven control” and, on a broader level, Intelligent Manufacturing and Services Systems in sustainable development and circular economy. First, the concept of IMS and perspectives relating to future industrial and economic systems, as well as their expected advantages and the challenges to be addressed are introduced. Different interpretations of sustainability are then described. Third, our vision concerning the possible impacts of IMS on a sustainable world is presented. A set of challenging prospects and illustrative examples conclude this paper.

Selected paper presented at the 2nd International Workshop SOHOMA'12 held in Bucharest, Romania, May 23-24 2012; International audience; This chapter focuses on the concept of "product-driven control". First, this concept is introduced and the expected advantages and the problems to be solved are described. A brief but representative state of the art is presented. Several product-driven control applications in different domains are also used to illustrate the concept. This paper concludes with a set of challenging prospects.

International audience; New developments in production control can be grouped around two modes: distributed and centralised control. Interaction between these control modes can be seen as a B2M issue. We propose in this paper an alternative B2M architecture, using holonic products, in order to nable cooperation between centralised business and distributed manufacturing decision systems. We will first give the requirements of such a system, then outline the structure of the holonic product and finally study the possible interaction protocols between the products and the decision system.

Indexado ISI The formal specification of agent-based and holonic manufacturing control systems assumes a critical role in order to understand and synthesize those complex systems. This paper presents the formal specification of the coordination models for the ADACOR holonic control system. For this purpose, it is used High-Level Petri Nets to model the behavior of individual ADACOR entities, AUML interaction diagrams to represent the interaction between those entities and mailboxes structures to synchronize the evolution of the Petri net models associated to the holons. The authors would like to thank the European Commission and the partners of the Innovative Production Machines and Systems (I*PROMS;http://www.iproms.org/) Network of Excellence for their support.