A case study and method development research of online simulation gaming to enhance youth care knowlegde exchange. Youth care professionals affirm that the application used has enough relevance as an additional tool for knowledge construction about complex cases. They state that the usability of the application is suitable, however some remarks are given to adapt the virtual environment to the special needs of youth care knowledge exchange. The method of online simulation gaming appears to be useful to improve network competences and to explore the hidden professional capacities of the participant as to the construction of situational cognition, discourse participation and the accountability of intervention choices.
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When it comes to hard to solve problems, the significance of situational knowledge construction and network coordination must not be underrated. Professional deliberation is directed toward understanding, acting and analysis. We need smart and flexible ways to direct systems information from practice to network reflection, and to guide results from network consultation to practice. This article presents a case study proposal, as follow-up to a recent dissertation about online simulation gaming for youth care network exchange (Van Haaster, 2014).
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A building block approach to simulation uses modules that are easily reusable and therefore speed up the simulation process. The authors assume that this approach can enhance complex decision making between stakeholders on infrastructure planning and design. The authors combined insights from process management and a simulation building block approach into an experimental interactive decision-making procedure and developed a simulation building block tool. The authors tested the procedure and the tool in the game CONTAINERS ADRIFT. Evaluation results indicate that the simulation tool is fast and easy to work with and that the combination of simulation building blocks and process management contributes to the quality and process of negotiation and generates mutual understanding.
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The authors present the design of the shipping simulation SEL and its integration in the MSP Challenge Simulation Platform. This platform is designed to give policymakers and planners insight into the complexity of Maritime Spatial Planning (MSP) and can be used for interactive planning support. It uses advanced game technology to link real geo- and marine data with simulations for ecology, energy and shipping. The shipping sector is an important economic sector with influential stakeholders. SEL calculates the (future) impact of MSP decisions on shipping routes. This is dynamically shown in key performance indicators (e.g. route efficiencies) and visualised in heat maps of ship traffic. SEL uses a heuristic-based graph-searching algorithm to find paths from one port to another during each simulated month. The performance of SEL was tested for three sea basins: the firth of Clyde, Scotland (smallest), North Sea (with limited data) and Baltic Sea regions (largest, with most complete data). The behaviour of the model is stable and valid. SEL takes between 4 and 17 seconds to generate the desired monthly output. Experiences in 20 sessions with 302 planners, stakeholders and students indicate that SEL is a valuable addition to MSP Challenge, and thereby to MSP.
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To prepare medical students appropriately for the management of toxicological emergencies, we have developed a simulation-based medical education (SBME) training in acute clinical toxicology. Our aim is to report on the feasibility, evaluation and lessons learned of this training. Since 2019, each year approximately 180 fifth-year medical students are invited to participate in the SBME training. The training consists of an interactive lecture and two SBME stations. For each station, a team of students had to perform the primary assessment and management of an intoxicated patient. After the training, the students completed a questionnaire about their experiences and confidence in clinical toxicology. Overall, the vast majority of students agreed that the training provided a fun, interactive and stimulating way to teach about clinical toxicology. Additionally, they felt more confident regarding their skills in this area. Our pilot study shows that SBME training was well-evaluated and feasible over a longer period.
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To aid HR practitioners in their design of firm specific HRM configurations, andcontribute to the state of the art HRM knowledge, we created a simulation model. In this paper we present the simulation model, and the serious game in which it was implemented, but focus on the practical and academical implication of creating and using our initial HRM simulation model.Deciding which HR-practices to select, and how to design them in a multiyear HRMconfiguration is a challenging task for any HR-practitioner due to the large number of interrelated options to pick from. In particular as, according to configurational HRM, the configuration of HR-practices needs to reflect the organizational strategy (vertical alignment) and show internal consistency (horizontal alignment). Currently, no (technological) tool aids HR-practitioners in their quest to design an aligned HRM configuration. To fill this void, we created an HRM simulation model and used it in a serious game which was played during workshops with HR-practitioners.Configurational HRM postulates that HRM configuration need to be both verticallyand horizontally aligned. However, to date, no specific information on how to make these levels of alignment happen is present. As a result, no specific hypothesis based on configurational HRM has been defined and empirical validation of this mode of theorizing is limited. Using the simulation model and serious game we aspire to specify the configurational mode of theorizing with a new level of detail enabling more precise empirical exploration of configurational HRM.The creation of an HRM simulation model and serious game proved to beworthwhile. During the workshops, HR-practitioners stated that the simulation model and game enables them to get to grips with the complexity of designing a firm specific HRM configuration. Furthermore, the simulation model enables us to specify configurational HRM to a new level of detail enabling a wide variety of research opportunities. The simulation model, serious game, and implications are discussed in this paper.
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A presentation and discussion on the design and application of the MSP Challenge Simulation Platform.
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This paper presents the design of the offshore energy simulation CEL as a flow network, and its integration in the MSP Challenge 2050 simulation game platform. This platform is designed to aid learning about the key characteristics and complexity of marine or maritime spatial planning (MSP). The addition of CEL to this platform greatly AIDS MSP authorities in learning about and planning for offshore energy production, a highly topical and big development in human activities at sea. Rather than a standard flow network, CEL incorporates three additions to accommodate for the specificities of energy grids: an additional node for each team's expected energy, a split of each node representing an object into input and output parts to include the node's capacity, and bidirectional edges for all cables to enable more complex energy grid designs. Implemented with Dinic's algorithm it takes less than 30ms for the simulation to run for the average amount of grids included in an MSP Challenge 2050 game session. In this manner CEL enables MSP authorities and their energy stakeholders to use MSP Challenge 2050 for designing and testing more comprehensive offshore energy grids.
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The authors describe why and how different types of simulations can be used to understand and support the challenges of utility deregulation. They present an overview of liberalization and deregulation efforts in three utility markets - electricity, natural gas, and drinking water - and describe the main challenges and opportunities for regulators and business managers. A general classification of seven different types of simulation is presented, including market simulations, policy simulations, dynamic business simulations, capability simulations, day-in-a-life simulations, performance simulations, and gaming simulations. The authors reflect on the role of these simulations for utility deregulation and give examples.
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This paper focuses on the use of discrete event simulation (DES) as a decision support tool for airport land use development. As a study case, Querétaro Airport (Mexico) is used, due to its rapid growth and the different services it offers. The SIMIO® software was used to carry out a macro-level simulation of the airport’s processes, considering generic process times, flight types and demand schedules. The resulting strategic simulation model can be used to diagnose the current growth situation, analyse the airport's growth potential, and evaluate different expansion scenarios using the available land, including the expansion of the terminal building, cargo operations or MRO. The arrival and departure of aircraft (commercial, cargo, maintenance, aviation school and private aviation) at the airport were simulated to detect bottlenecks for different expansion scenarios, that aim to find an optimal balance between the growth options in the different airport grounds. The objective is to compare the potential growth of different layout expansion possibilities. Preliminary results indicate that land use options have a great impact on the growth potential of the airport and some general aviation activities, such as the aviation school, are interfering with the potential growth of other activities at Querétaro Airport.
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