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Computer simulations are commonly used to model emergencies and discover useful evacuation strategies. The top-down conceptual models typically used for such simulations do not account for differences in individual behavior and how they affect other individuals. To create a more realistic model, this study uses Agent-Based Modeling (ABM) to simulate the evacuation of an urban population in case of...
This paper utilizes agent-based simulation to compare different market making strategies for high frequency traders (HFTs). After proposing a model representing HFTs' activities in financial market when they act as market makers, we carry out simulations to explore how different quoting strategies affect their profit. The results show that combination of (i) offering prices based on the latest trading...
Multistatic sonar networks generalize traditional sonar networks by allowing sources and receivers to occupy different physical locations. Although there are many advantages to a multistatic approach, there are also additional analytic challenges. One such challenge involves the direct blast effect, which can cause targets to go undetected even if they are within the nominal detection range of a sonar...
We propose a new method for determining the physical sizes of components in an electrical circuit that maximize some primary performance measure while satisfying some conditions on the secondary performance measures. The proposed method is based on the observation that the performance measures are unimodal and smooth. Thus, it focuses on a local search and applies a Lagrangian method to search for...
Reliable simulation estimation builds on accurately specified input models. In the context of simulating tail events, knowledge on the tail of the input model is especially important, yet is often hard to obtain due to a lack of data. In this paper, we consider tail event estimation without any knowledge on the input tail, but rather only making a general assumption that it is convex. We focus on...
We propose an efficient statistical method for the empirical model comparison, which is typically referred to as a simulation procedure to evaluate multiple statistical learning algorithms. First, we use experimental designs to appropriately construct the training and test sets for estimating the empirical performances of these models using the mean square errors. Second, we apply the idea of Bayesian...
International Community can decide to establish several types of sanctions on the economy of a country. No matter the reasons of these sanctions, generally, they can have many adverse effects on the economy of the sanctioned country. This depends on the variety and extent of the sanctions. We propose a system dynamics model to capture some of the main reasons behind the economic instability in a sanctioned...
This poster presents a simulation tool developed in cooperation with the Catalonia firefighting authority to provide a training environment for firefighter air operations commanders in wildfire events. In case of a wildfire event multiple aircrafts are deployed, including a commandment aircraft, by the main operation center. Aircrafts tasks, deployments and schedules can be assigned by both the commandment...
The definition of the flights schedule is one of the major planning activities that are carried out in an airline. The result of the definition of this schedule has implications that transcend the operational sphere and becomes a determining factor to improve competitiveness in the sector of air transportation. The strategic nature of this activity implies that often is carried out so early, in a...
Stumps are a possible source of biomass for energy production, but stump extraction is still only a small scale operation and no standardized supply chain has evolved. In order to evaluate possible supply chains, we have developed a discrete-event simulation model for cost-efficient analysis of delivery costs and machine utilization in different scenarios and system configurations. In this new and...
The accident rate in the construction industry is the highest rate among all industries. In most cases, safety-planning is based on checklists and manual description which are not closely related to the actual and specific construction object. Safety planning in construction is a challenging task because of the large number of parties involved, the constantly changing conditions and the complexity...
Over the last decade there has been a growing interest in ‘conceptual modeling’ for simulation. This is signified by a greater intensity of research and volume of papers on the topic. What is becoming apparent, however, is that when it comes to conceptual modeling there are quite different views and opinions. These differences may be beneficial for creating a debate that takes the field forward, but...
Computer simulation has evolved to a standard means for planning, analyzing, and optimizing complex systems. Yet, a twofold usage can be observed: as a tool for generating data and as a method for deriving knowledge. The objective of this paper is to outline epistemological consequences arising from this methodological uncertainty by analyzing the state of discussion as well as challenges of using...
Regional food hubs aggregate, distribute, and market local food, with a goal of promoting environmental and social sustainability. They provide an alternative distribution channel through which small-scale producers can access wholesale markets. However, food hubs face many barriers to growth and success. In particular, they are often unable to achieve the logistical and operational efficiencies that...
There is increasing awareness among stakeholders in healthcare that the present day reforms in this sector need to be structured around financial, environmental and social sustainability. This arguably serves as a motivation to investigate ways to incorporate sustainable development measures into their planning cycles, and furthermore to implement these plans through delivery of sustainable services...
The weather is unpredictable and can have a large impact on the profitability of seasonal businesses, particularly if staffing requirements are highly temperature-dependent. In this paper we describe our efforts in developing a what-if analysis tool to assist affected Small and Medium Enterprises in determining the best case scenario for timing hiring new staff and deciding the optimum length of temporary...
It is well documented that modeling large complex healthcare systems cannot be achieved using the traditional single-technique approach. Developing large healthcare models requires more than one way of thinking about it, as healthcare systems consist of multiple stakeholders, policies, types of patients and many more complex subsidiaries. Whilst the literature is abound with hybrid models and attempts...
Innovation and health-care funding reforms have contributed to the deployment of Information and Communication Technology (ICT) to improve patient care. Many health-care organizations considered the application of ICT as a crucial key to enhance health-care management. This paper aims at providing a global methodology to assess the organizational impact of high-level Health Information System (HIS)...
In this paper we propose a new approach to design and control an ambulatory surgery unit through formal modelling and discrete-event simulation. Taking into account the demand increase for ambulatory care in the hospital, we propose a comprehensive methodology to adjust the required resources (beds and stretchers) to optimize patient pathway through the ambulatory surgery unit. Several performance...
This work simulated some alternatives of dynamic allocation of additional human resources in a company that produces various products from Pupunha palm. Its goal was to increase the average amount of trays produced per day in this line through a hybrid application of discrete event and agent-based simulation. Two different decision-making forms were proposed to find out which workstation should have...
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