2 research outputs found

    SCFHLA: Un Modelo de Interoperabilidad Sem谩ntica para Simulaci贸n Distribuida de Cadenas de Suministro

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    La simulaci贸n distribuida de cadenas de suministro tiene la gran ventaja de preservar la independencia de los miembros de la cadena, pudiendo reutilizar simuladores existentes sin necesidad de crear uno nuevo. Sin embargo, el problema que emerge en este tipo de simulaci贸n es la necesidad de acordar el conjunto de objetos, eventos, interacciones y m茅tricas, que deben ser entendidas por todos los participantes para lograr con 茅xito un resultado valioso para los mismos. En este trabajo se presenta un marco conceptual basado en una red de ontolog铆as, que da soporte a las tareas de modelado y composici贸n de la simulaci贸n distribuida de cadenas de suministro para garantizar la interoperabilidad sem谩ntica de sus miembros. Se utiliza el est谩ndar HLA (High Level Architecture) como herramienta de construcci贸n de una simulaci贸n distribuida.Fil: Sarli, Juan Leonardo. Consejo Nacional de Investigaciones Cient铆ficas y T茅cnicas. Centro Cient铆fico Tecnol贸gico Conicet - Santa Fe. Instituto de Desarrollo y Dise帽o. Universidad Tecnol贸gica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Dise帽o; ArgentinaFil: Leone, Horacio Pascual. Consejo Nacional de Investigaciones Cient铆ficas y T茅cnicas. Centro Cient铆fico Tecnol贸gico Conicet - Santa Fe. Instituto de Desarrollo y Dise帽o. Universidad Tecnol贸gica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Dise帽o; ArgentinaFil: Guitierrez, Maria de los Milagros. Universidad Tecnol贸gica Nacional. Facultad Regional Santa Fe. Centro de Investigaci贸n y Desarrollo de Ingenier铆a en Sistemas de Informaci贸n; Argentin

    Distributed Approaches to Supply Chain Simulation: A Review

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    This is the author accepted manuscript. The final version is available from ACM via the DOI in this recordThe field of Supply Chain Management (SCM) is experiencing rapid strides in the use of Industry 4.0 technologies and the conceptualization of new supply chain configurations for online retail, sustainable and green supply chains and the Circular Economy. Thus, there is an increasing impetus to use simulation techniques such as discrete-event simulation, agent-based simulation and hybrid simulation in the context of SCM. In conventional supply chain simulation, the underlying constituents of the system like manufacturing, distribution, retail and logistics processes are often modelled and executed as a single model. Unlike this conventional approach, a distributed supply chain simulation (DSCS) enables the coordinated execution of simulation models using specialist software. To understand the current state-of-the-art of DSCS, this paper presents a methodological review and categorization of literature in DSCS using a framework-based approach. Through a study of over 130 articles, we report on the motivation for using DSCS, the modelling techniques, the underlying distributed computing technologies and middleware, its advantages and a future agenda, as also limitations and trade-offs that may be associated with this approach. The increasing adoption of technologies like Internet-of-Things and Cloud Computing will ensure the availability of both data and models for distributed decision-making, and which is likely to enable data-driven DSCS of the future. This review aims to inform organizational stakeholders, simulation researchers and practitioners, distributed systems developers and software vendors, as to the current state of the art of DSCS, and which will inform the development of future DSCS using new applied computing approaches
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