	SERVICE ORIENTATION IN HOLONIC AND MULTI-AGENT MANUFACTURING - SOHOMA 2014
	CUPRINS: TS. 1. HOLONIC AND AGENT-BASED INDUSTRIAL AUTOMATION SYSTEMS Engineering of Coupled Simulation Models for Mechatronic Systems 1 Petr Novak, Petr Kadera, Vaclav Jirkovsky, Pavel Vrba, Stefan Biffl Optimizing Power Consumption in Robotized Job-Shop Manufacturing 10 Silviu Raileanu, Florin Anton, Alexandru Iatan, Theodor Borangiu, Silvia Anton Coupling Predictive Scheduling and Reactive Control in Manufacturing: State of the Art and Future Challenges 24 Olivier Cardin, Damien Trentesaux, Andre Thomas, Pierre Castagna, Thierry Berger, Hind Bril Application of Holonic Paradigm to Hybrid Processes: Case of a Water Treatment Process 32 Carlos Indriago, Olivier Cardin, Naly Rakoto, Edgar Chacon, Pierre Castagna Implementation of an Erlang-based Resource Holon for a Holonic Manufacturing Cell 40 Karel Kruger, Anton Basson TS. 2. SERVICE-ORIENTED MANAGEMENT AND CONTROL OF MANUFACTURING SYSTEMS ANEMONA-S + Thomas: a Framework for developing Service-Oriented Intelligent Manufacturing Systems 51 Adriana Giret, Vicente Botti An Orchestration Engine for Services-oriented Field Level Automation Software 60 Christoph Legat, Birgit Vogel-Heuse Process Specification Framework in a Service Oriented Holonic Manufacturing Systems 69 Francisco Gamboa, Olivier Cardin, Anne L`Anton, Pierre Castagna Aligning Decision support with Shop Floor operations. A proposal of intelligent product based on BDI physical Agents 77 Pablo Garcia Ansola, Andres Garcia, Javier de las Morenas TS. 3. DISTRIBUTED MODELLING FOR SAFETY AND SECURITY IN INDUSTRIAL SYSTEMS Risk and Hazard Control Solutions based on Reconfigurability 89 Radu Dobrescu, Gheorghe Florea Wiresless Control Network for Intralogistics Service in a Holonic and Isoarchic Control Approach 100 Patrick Pujo, Fouzia Ounnar, Tarik Remous From Centralized Modelling to Distributed Design in Risk Assessment and Industrial Safety: Survey and Proposition 109 Nassima Aissani, Islam Hadj Mohamed Guetarni A Multi-Agent based Platform for Safety Control 119 Brahim Boudiaf, Sorya Zebirate, Nassima Aissani, Abdelkader Chaker TS. 4. COMPLEXITY, BIG DATA AND VIRTUALIZATION IN COMPUTING-ORIENTED MANUFACTURING Redundancy Mechanisms for Virtualized MES Workloads in Private Cloud 129 Octavian Morariu, Silviu Raileanu, Theodor Borangiu Internet of Things, Big Data, and Manufacturing Operations: Towards Predictive Manufacturing Systems 137 Radu F. Babiceanu, Remzi Seker A Framework for the Development of Manufacturing Cyber-Physical Systems Enabled by Complex Event Processing and Big Data Environments 145 Radu F. Babiceanu, Remzi Seker Planning and Control of Maintenance, Repair and Overhaul Operations of a Fleet of Complex Transportation Systems: A Cyber-Physical System Approach 153 Damien Trentesaux, Thomas Knothe, Guillaume Branger, Klaus Fischer Toward an Ontology-based Architecture for Cloud Manufacturing 164 Asma Talhi, Jean-Charles Huet, Virginie Fortineau, Samir Lamouri TS. 5. ADAPTIVE, BIO-INSPIRED AND SELF-ORGANIZED MULTI-AGENT SYSTEMS FOR MANUFACTURING Evaluating the Applicability of Multi Agent Software for Implementing Distributed Industrial Data Management Approaches 171 Torben Jess, Philip Woodall, Duncan McFarlane Self-Interested Service-Oriented Agents based on Trust and QoS for Dynamic Reconfiguration 180 Nelson Rodrigues, Paulo Leitao, Eugenio Oliveira Volatile Knowledge to Improve the Self-Adaptation of Autonomous Shuttles in Flexible Job Shop Manufacturing System 189 Emmanuel Adam, Damien Trentesaux A Model for Manufacturing Scheduling Optimization through Learning Intelligent Products 202 Bouazza Wassim, Yves Sallez, Aissani Nassima, Bouziane Beldjilali Fuzzy Decision-Making Method for Product Holons Encountered Emergency Breakdown in Product-Driven System: An Industrial Case 210 Ming Li, Hind Bril, Andre Thomas, Arnould Guidat TS. 6. PHYSICAL INTERNET SIMULATION, MODELLING AND CONTROL On the Activeness of Physical Internet containers 229 Yves Sallez, Benoit Montreuil, Eric Ballot Adaptive Storage Location Assignment for Warehouses using Intelligent Products 239 Nikolaos Tsamis, Vaggelis Giannikas, Duncan McFarlane, Wenrong Lu,James Strachan Open Tracing Container Repositioning Simulation Optimization: A Case Study of FMCG Supply Chain 248 Shenle Pan, Eric Ballot A New Framework for the Management of Returnable “Containers” Within Open Supply Networks 258 Yann Le Roch, Eric Ballot, Xavier Perraudin A Simulated Annealing Metaheuristic for a Rail-Road PI-Hub Allocation Problem 269 Faiza Walha, Sondes Chaabane, Abdelghani Bekrar, Taicir Loukil Human-in-the-Loop Cyber-Physical Production Systems Control (HiLCP2sC) 277 Mehdi Gaham, Brahim Bouzouia, Noura Achour
	PREZENTARE: brief description of the book chapters follows. Part 1 reports recent advances and on-going research in Holonic and Agent-based Industrial Automation Systems. Nowadays, industrials are seeking for models and methods that are not only able to provide efficient overall production performance, but also reactive facing a growing set of unpredicted events. One important research activity in the field focuses on holonic/multi-agent control systems that integrate predictive/proactive and reactive mechanisms into agents/holons. The demand for large scale systems running in complex and even chaotic environments requires the consideration of new paradigms and technologies that provide flexibility, robustness, agility and responsiveness. Holonic systems are, actually by definition, targeting challenges that include coping with the heterogeneous nature of industrial systems and their on-line interactive nature in combination with competitive pressures. Multi-agents systems is a suitable approach to address these challenge by offering an alternative way to design control systems, based on the decentralization of control functions over distributed autonomous and cooperative entities. Some papers discuss the concept of Intelligent Product and related techniques for Product-driven Automation. Part 2 groups papers discussing Service-oriented Management and Control of Manufacturing Systems. Service orientation is emerging at multiple organizational levels in enterprise business, and leverages technology in response to the growing need for greater business integration, flexibility and agility of manufacturing enterprises. Close related to IT infrastructures of Web Services, the Service Oriented Enterprise Architecture represents a technical architecture, a business modelling concept, an integration source and a new way of viewing units of control within the enterprise. Business and process information systems integration and interoperability are feasible by considering the customized product as "active controller" of the enterprise resources - thus providing consistency between material and informational flows. The areas of Service Oriented Computing and Multi-agent Systems are getting closer; both trying to deal with the same kind of environments formed by loose-coupled, flexible, persistent and distributed tasks. An example is the new approach of Service Oriented Multi-agent Systems (SOMAS). The unifying approach of the contributions for this 3rd part relies on the methodology and practice of disaggregating siloed, tightly coupled business and MES processes into loosely coupled services and mapping them to IT services, sequencing, synchronizing and orchestrating their execution. Part 3 treats the Distributed Modelling for Safety and Security in Industrial Systems. Risk and Hazard Control (RH Control) models are proposed as a basis for developing adequate strategies to avoid the effect of extreme, unexpected events in production systems. Papers in this section present the state of the art and solutions in risk assessment and industrial safety, dynamic reconfigurability an prevention in manufacturing. Part 4 is devoted to Complexity, Big Data and Virtualization in Computingoriented Manufacturing. Virtualization of manufacturing execution system workloads offers a set of design and operational advantages to enterprises, the most visible being improved resource utilization and flexibility of the overall solution. At the manufacturing execution system level, cloud computing adoption refers mainly to virtualization of MES workloads. While MES implementations are different and usually depend directly on the actual physical shop floor layout, the general MES functions are aligned with the set of functions defined by ISA-95.03 specification. To achieve high levels of productivity growth and agility to market changes, manufacturers will need to leverage Big Data sets to drive efficiency across the networked enterprise. There is need for a framework allowing the development of manufacturing cyber physical systems that include capabilities for complex event processing and Big Data analytics, which are expected to move the manufacturing domain closer towards digital - and cloud manufacturing within contextual enterprises. Part 5 discusses Adaptive, Bio-inspired and Self-organizing Multi-Agent Systems for Manufacturing. The dynamic change of the client’s needs, leading to higher exigency, may require a smart and flexible automatic composition of more elementary services. Several bio-inspired approaches have been proposed; some are based on stigmergy like the Ant colony optimization, the Firey Algorithm; others are based on Particle Swarm Optimization: Bee Based Algorithm, Bat Algorithm, Shuffled Frog Algorithm, Roach Infestation Optimization. Such approaches provide intelligent decision-making capabilities of agents to dynamically and autonomously change services selection on the fly, towards more trustworthy services with better quality when unexpected events happen. The use of competitive self-interested agents providing services that best suit to clients through dynamic service composition is described too. Part 6 is devoted to Physical Internet Simulation, Modelling and Control. The availability of individual information in open loop supply chains enables new organizations like Physical Internet. Papers discuss adaptive storing, warehouse management systems, product intelligence, open tracing container or rail-road allocation problem. If SOA is the conceptual framework for service orientation of enterprise processes, Service Oriented Computing represents the paradigm and implementing framework for embedded monitoring and control systems with distributed intelligence in Service Oriented Enterprise Architectures (SOEA). All these aspects are treated in the present book, which we hope you will find useful reading. September 2014, Bucharest Theodor BORANGIU
	PREFATA: This volume gathers the peer reviewed papers which will be presented at the fourth edition of the International Workshop “Service Orientation in Holonic and Multiagent Manufacturing - SOHOMA’14” organized on November 5-6, 2014 by the University of Lorraine, France in collaboration with the CIMR Research Centre in Computer Integrated Manufacturing and Robotics of the University Politehnica of Bucharest and the University of Valenciennes and Hainaut-Cambresis. SOHOMA scientific events have been organized since 2011 in the framework of the European project no. 264207 ERRIC, managed by faculty of Automatic Control and Computer Science within the University Politehnica of Bucharest. The book is structured in six parts, corresponding to the six Sessions composing the workshop’s technical program; each one is grouping a number of papers covering a specific research line which represents a trend for future manufacturing control: Holonic and Agent-based Industrial Automation Systems (Part 1), Service-oriented Management and Control of Manufacturing Systems (Part 2), Distributed Modelling for Safety and Security in Industrial Systems (Part 3), Complexity, Big Data and Virtualization in Computing-oriented Manufacturing (Part 4), Adaptive, Bio-inspired and Self-organizing Multi-Agent Systems for Manufacturing (Part 5) and Physical Internet Simulation, Modelling and Control (Part 6). These six evolution lines have in common concepts related to service orientation in a distributed planning and control agent-based industrial environment; today it is generally recognized that the Service Oriented Enterprise Architecture paradigm has been looked upon as a suitable and effective approach for industrial automation and manufacturing management and control. Manufacturing systems are amongst the most complex and demanding artefacts in modern society but also amongst the most valuable ones. The challenges include coping with their heterogeneous nature and their on-line interactive nature in combination with competitive pressures. Off-line plans are known to become invalid within minutes after arriving on the factory floor. Therefore, researchers are looking into matching technologies which are able to answer these challenges. Holonic systems are, actually by definition, targeting such challenges. Agent technologies focus on interactive and decentralized aspects. In particular, developments aim to deliver open systems and system components, as well as infrastructure and infrastructural components rather than closed systems. This open nature implies that developments will not solve industrial problem on their own but rather contribute to relaxing the unnecessary constraining of an overall solution in view of specific targets in a specific enterprise organization and using a specific shop-floor layout and resource capabilities. Technological advances in wireless sensor networks are enabling new levels of distributed intelligence in several forms such as active products that interact with the working environment and smart metering for monitoring the history of products over their entire life cycle and the status and performances of resources. These distributed intelligences offer new opportunities for developing techniques to reduce myopic decision making in manufacturing control systems thereby potentially enhancing their sustainability. Control architecture could itself switch modes of operation to adapt to severe disruptions. Manufacturing sustainability is addressed in this special issue with respect to: fault-tolerance to resource an communication breakdown; energy efficiency at resource and shop floor level; balancing resource usage; cost efficiency and in line quality control of products. Innovative services will be enablers and drivers of growth of next generation of manufacturing enterprises that are competitive and sustainable. Several frameworks are proposed for classifying, analysing initiatives and potentially developing distributed intelligent automation systems. These frameworks will be referred to in the book as Distributed Intelligent Automation Systems. In particular we are interested in systems in which the planning or execution of tasks normally associated with a centralized operational level are reassigned to be carried out instead by a number of units cooperating at a different level. Or conversely, a task traditionally using information from a single source should be able, in a distributed information system, to makes use of data spread across a range of operations - and potentially a range of organisations (the case of networked, virtual enterprises). The book defines and explains ways to implement intelligent products: by putting intelligence at the object (Intelligent Embedded Systems) or through the computing network (using Automatic Identification and Data Capture technology attached to the product to allow it to be identified and tracked by a computer system). These technologies enable the automated identification of objects, the collection of data about them, and the storage of that data directly into computer systems. The service-oriented multi-agent systems (SoMAS) approach discussed in the book is characterized by the use of a set of distributed autonomous and cooperative agents (embedded in smart control components) that use the SOA principles, i.e. oriented by the offer and request of services, in order to fulfil industrial and production systems goals. This approach is different from the traditional Multi-agent Systems (MAS) mainly because agents are service-oriented, i.e. individual goals of agents may be complemented by services provided by other agents, and the internal functionalities of agents can be offered as services to others agents (note that these service-oriented agents do not only share services as their major form of communication, but also complement their own goals with different types of external provided services). Special attention is paid in the book to the framework for manufacturing integration, which matches plant floor solutions with business systems and suppliers. This solution focuses on achieving flexibility by enabling a low coupling design of the entire enterprise system through leveraging of Service Oriented Architecture (SOA) and Manufacturing Service Bus (MSB) as best practices. The Manufacturing Service Bus (MSB) integration model described in some papers is an adaptation of ESB for manufacturing enterprises and introduces the concept of bus communication for the manufacturing systems. The MSB acts as an intermediary for the data flows, assuring loose coupling between modules at shop floor level. The book offers a new integrated vision combining complementary emergent technologies which allow reaching control structures with distributed intelligence supporting the enterprise integration (vertical and horizontal dimensions) and running in truly distributed and ubiquitous environments. Additionally, the enrichment of these distributed systems with mechanisms inspired by biology supports the dynamic structure reconfiguration, thus handling more effectively with condition changes and unexpected disturbances, and minimizing their effects. As an example, the integration of service-oriented principles with MAS allows to combine the best of the two worlds, and in this way to overcome some limitations associated to multi-agent systems, such as interoperability.
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SERVICE ORIENTATION IN HOLONIC AND MULTI-AGENT MANUFACTURING - SOHOMA 2014