There are many ways of doing this in fact, since the delay is a pretty simple block. Wanna try this in AnyLogic? Build a delay without using a delay block. All that without spending hours or days building complicated problems. In my opinion, replicating blocks functionalities is one of the best ways to learn the discrete-events mindset, to practice your skills and to start becoming creative in your solutions. At the end of the day, building a discrete-events model can be seen as building a puzzle with the pieces you are given. I often ask my students to replicate a block’s behavior with some or all its functionalities as an exercise to improve the modeling mindset. Well, it’s true that these blocks represent the most common functionalities in a manufacturing process, but not all of them are strictly needed. In AnyLogic you have around 40 blocks you can use, each block with a series of functionalities, but who decided that those are the functionalities you need? Why do you have a delay block? Why do you have a queue block? L'objectif de cet article est de présenter un tel tutoriel pour introduire les principes de fonctionnement de FlexSim à travers une étude de cas de pilotage distribué où les produits jouent un rôle actif par leur capacité à prendre des décisions basées sur le mécanisme décisionnel Analytic Hierarchy Process (AHP).Wether you use AnyLogic, Arena, Simio, FlexSim or any other simulations Software in the market, when you develop a model using the discrete-events paradigm, you will get access to a number of blocks that you can connect with each other to generate a flow with agents or entities flowing from one block to the next. Dans la littérature en langue Française, on constate un manque de tutoriels pour apprendre à utiliser le logiciel de simulation FlexSim. Pour y arriver les industriels sont contraints de passer par la phase de simulation qui leurs permet d'évaluer, tester et valider ces nouvelles architectures sans aucun risque. Cette complexité pousse les industriels à concevoir et développer de nouvelles architectures de pilotage distribuées, plus flexibles et agiles faces aux perturbations. Par conséquent les systèmes industriels deviennent de plus en plus complexes. L'avènement de l'industrie 4.0 introduit un ensemble de technologies d’information et de communication (TIC) qui permettent de distribuer le traitement de l’information et de décentraliser la prise de décision sur plusieurs entités autonomes et intelligentes tel que : les ressources de production, les opérateurs et les produits. The evolution, advances, current practices and future trends of these technologies, industrial applications and research results are discussed in the context of the contemporary manufacturing industry. The considered simulation methods and tools include CAx, Factory layout design, Material and Information flow design, Manufacturing Networks Design, Manufacturing Systems Planning and Control, Manufacturing Networks Planning and Control, Augmented and Virtual Reality in product and process design, planning and verification (ergonomics, robotics, etc.). Based on this review, the identification of gaps in current practices is presented, and future trends and challenges to be met on the field are outlined. This keynote paper investigates the major milestones in the evolution of simulation technologies and examines recent industrial and research applications and findings. Especially in todays’ turbulent manufacturing environment, which is affected by megatrends such as globalisation and ever-increasing requirements for higher degree of product customisation and personalisation, the value of simulation is evident. Simulation comprises an indispensable set of technological tools and methods for the successful implementation of digital manufacturing, since it allows for the experimentation and validation of product, process and system design and configuration.
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