899 research outputs found

    Eco‐Holonic 4.0 Circular Business Model to  Conceptualize Sustainable Value Chain Towards  Digital Transition 

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    The purpose of this paper is to conceptualize a circular business model based on an Eco-Holonic Architecture, through the integration of circular economy and holonic principles. A conceptual model is developed to manage the complexity of integrating circular economy principles, digital transformation, and tools and frameworks for sustainability into business models. The proposed architecture is multilevel and multiscale in order to achieve the instantiation of the sustainable value chain in any territory. The architecture promotes the incorporation of circular economy and holonic principles into new circular business models. This integrated perspective of business model can support the design and upgrade of the manufacturing companies in their respective industrial sectors. The conceptual model proposed is based on activity theory that considers the interactions between technical and social systems and allows the mitigation of the metabolic rift that exists between natural and social metabolism. This study contributes to the existing literature on circular economy, circular business models and activity theory by considering holonic paradigm concerns, which have not been explored yet. This research also offers a unique holonic architecture of circular business model by considering different levels, relationships, dynamism and contextualization (territory) aspects

    A Product Oriented Modelling Concept: Holons for systems synchronisation and interoperability

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    Nowadays, enterprises are confronted to growing needs for traceability, product genealogy and product life cycle management. To meet those needs, the enterprise and applications in the enterprise environment have to manage flows of information that relate to flows of material and that are managed in shop floor level. Nevertheless, throughout product lifecycle coordination needs to be established between reality in the physical world (physical view) and the virtual world handled by manufacturing information systems (informational view). This paper presents the "Holon" modelling concept as a means for the synchronisation of both physical view and informational views. Afterwards, we show how the concept of holon can play a major role in ensuring interoperability in the enterprise context

    A framework for smart production-logistics systems based on CPS and industrial IoT

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    Industrial Internet of Things (IIoT) has received increasing attention from both academia and industry. However, several challenges including excessively long waiting time and a serious waste of energy still exist in the IIoT-based integration between production and logistics in job shops. To address these challenges, a framework depicting the mechanism and methodology of smart production-logistics systems is proposed to implement intelligent modeling of key manufacturing resources and investigate self-organizing configuration mechanisms. A data-driven model based on analytical target cascading is developed to implement the self-organizing configuration. A case study based on a Chinese engine manufacturer is presented to validate the feasibility and evaluate the performance of the proposed framework and the developed method. The results show that the manufacturing time and the energy consumption are reduced and the computing time is reasonable. This paper potentially enables manufacturers to deploy IIoT-based applications and improve the efficiency of production-logistics systems

    A holonic framework for managing the sustainable supply chain in emerging economies with smart connected metabolism

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    Since their origins, human societies have integrated into the natural environment, where social metabolism that identified the interactions between society and nature was established. This social metabolism enables the flows of energy and materials between social and natural environments to be analyzed and quantified. However, in the last century, many societies have undergone a transformation from an agricultural to an industrial system. Thus, labour, as a generator of economic capital through the supply chain, has provoked a loss of natural and social capital, especially in emerging economies, thereby generating the metabolic rift. This situation can be mitigated and reversed through a circular economy, the use of digital and technological enablers of Industry 4.0 and the incorporation of an organizational enabler such as the holonic paradigm. The integration of these enablers has given rise to the development of the cyber-physical holon, which incorporates inherently sustainable concepts and allows the analysis of distributed complex systems. This paper proposes a holonic framework for multiscale and multilevel Adaptive and Integrated Sustainable Supply Chain Management (AISSCM). This framework supports a smart connected social metabolism integrated within the natural environment and oriented towards mitigation and reversal of the metabolic rift, through the processes of adaptation and integration to enable the co-evolution of the supply chain within the environment. The framework developed is applied to a family of products through their sustainable supply chain based on circularity. This proposal is developed to enable the necessary transition towards sustainable societies

    Another way to manage supply chains: holonic and multicriteria approach

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    International audienceToday’s suppliers are challenged to deliver quality to their customers. Managers need to create and sustain internal systems and controls to ensure that their customers-focused strategies are being implemented. Many companies increasingly turn to their core activities to improve their reactivity and to manage their costs. This paper proposes an approach for self-organized control of relations between companies in which all the members of a partnership negotiate to guarantee good quality connections between customers and suppliers. Each partner is associated with a decision- making entity named “Autonomous Control Entity” (ACE) through which he can evaluate his performance. The integration of these ACEs into a holonic control system is presented. Operations of an ACE have been modelled through the Discrete EVent system Specification (DEVS) formalism. Then, the validation of such a control system for a self-organized logistic partnership network was done through a distributed High Level Architecture (HLA) simulation environmen

    Integration of a Flat Holonic Form in an HLA Environment

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    International audienceManagers need to create and sustain internal systems and controls to ensure that their customer focused strategies are being implemented. Companies are currently in a spiral of permanent optimization. Accordingly, many companies turn to their core activity. In this framework, one notices the development of the concept of “industrial partnership”. In this context and to control the customer–supplier relationships (CSR), we proposed a self-organized control model in which all partner entities (customers/suppliers) negotiate to guarantee good quality connections between customers and suppliers. This means meeting customer expectations as closely as possible and respecting supplier capacities. In this proposal, self-organized control is characterized more precisely by an organizational architecture of the flat holonic form type. This flat holonic form is based on the concept of autonomous control entity (ACE). The holonic architecture, the behaviour of an ACE, the interaction mechanisms between ACEs and the self-evaluation supplier process are presented, and then the modelling of ACEs using discrete event system specification (DEVS) is described. An implementation of the simulation of such a system was done via a distributed simulation environment high level architecture (HLA). A case study illustrating the proposed approach is presented

    Cooperation between business and holonic manufacturing decision systems

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    Simulation for Product Driven Systems

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    Due to globalisation, companies have to become more and more agile in order to face demand fluctuations and growing customisation needs. Indeed, the mass production market moves to a mass customization one, which could be defined as the production of a wide variety of end products at a low unit cost. During last years, many efforts have been done in order to improve operating system reactivity (with the Flexible Manufacturing initiative for example), but the manufacturing decision process did not really change, and then doesn't enable to fully make the most of these new operating system skills. Facing these new trends, a lot of new research works are focusing on identification technologies, like Auto-ID, biometry or vision ones. Radio Frequency Identification technology (RFID) represents a quick and safe way to track products, opening the way of linking informational and physical flows, and providing an accurate, real time vision of the shop floor. These new technologies appear like a catalyst to change the fifty years old way of controlling production through traditional MRP² systems
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