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Including 58 teams from around the world, the competition allowed undergraduate students to demonstrate their skills with the simulation software Arena, and compete against the world's best simulation students. The winning teams compete for cash prizes and the honor of being recognized as the top simulation students in the world.
The project represented a design problem for a realistic (but fictitious) company within the emerging area of co-working space. Co-working space companies offer a place for freelance workers, work-at-home professionals, and others to work in a shared office environment. The design requirements included redesigning the workspace layout, evaluating the number and types of seating arrangements, identifying and recommending process changes to reduce cost and improve customer satisfaction. Complicating the problem ensuring that the design can handle peak demand as well as projected growth in services. The students utilized Arena software to provide solutions to the presented problems.
About Arena: The trademarked Arena Simulation Software is recognized as the leader in discrete event simulation. Used by the majority of Fortune 100 firms, the software allows businesses to evaluate the full implications of business decisions before they are put into practice. The activity-based models can be effectively used to simulate almost any process. Arena has been the world's leading discrete event simulation software for over 30 years.
Abstract:Background: Logistics problems involve a large number of complexities, which makes the development of models challenging. While computer simulation models are developed for addressing complexities, it is essential to ensure that the necessary operational behaviours are captured, and that the architecture of the model is suitable to represent them. The early stage of simulation modelling, known as conceptual modelling (CM), is thus dependent on successfully extracting tacit operational knowledge and avoiding misunderstanding between the client (customer of the model) and simulation analyst. Objective: This paper developed a methodology for managing the knowledge-acquisition process needed to create a sufficient simulation model at the early or the CM stage to ensure the correctness of operation representation. Methods: A minimum viable model (MVM) methodology was proposed with five principles relevant to CM: iterative development, embedded communication, soliciting tacit knowledge, interactive face validity, and a sufficient model. The method was validated by a case study of freight operations, and the results were encouraging. Conclusions: The MVM method improved the architecture of the simulation model through eliciting tacit knowledge and clearing up communication misunderstandings. It also helped shape the architecture of the model towards the features most appreciated by the client, and features not needed in the model. Originality: The novel contribution of this work is the presentation of a method for eliciting tacit information from industrial clients, and building a minimally sufficient simulation model at the early modelling stage. The framework is demonstrated for logistics operations, though the principles may benefit simulation practitioners more generally.Keywords: simulation conceptual modelling; discrete-event simulation; communication and collaboration; agile method; tacit knowledge; freight logistics
AnyLogic is the leading simulation modeling software for business applications, utilized worldwide by over 40% of Fortune 100 companies. AnyLogic simulation models enable analysts, engineers, and managers to gain deeper insights and optimize complex systems and processes across a wide range of industries.
The three methods can be used in any combination, with one software, to simulate business systems of any complexity. In AnyLogic simulation software, you can use various visual modeling languages: process flowcharts, statecharts, action charts, and stock & flow diagrams.
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