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Building Performance Simulation
Simulation is a proven technique that uses computational, mathematical, and machine learning models to represent the physical characteristics,...
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Simulation-based metaheuristic optimization algorithm for material handling
Modern technologies and the emergent Industry 4.0 paradigm have empowered the emergence of flexible production systems suitable to cope with custom...
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SERVINO Methods
This chapter introduces the SERVINO Methods, a novel approach to service innovation that combines design thinking, Systems Engineering, and the...
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Robust simulation-based optimization for multiobjective problems with constraints
This study proposes a constrained multiobjective robust simulation optimization (CMRSO) method to address black-box problems with multiple objectives...
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Simulation approach with MC-reduction for multi-state flow network reliability estimation
A multistate flow network (MSFN) is an applicable model for constructing and evaluating practical systems, including an information system in...
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Thermal-structure finite element simulation system architecture in a cloud-edge-end collaborative environment
In response to the urgent need for finite element simulation, a thermal-structure finite element simulation system architecture is designed to...
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Multi-scale Simulation Modeling of Cardiac Systems
Simulation modeling methods inherently provide a fundamental infrastructure for understanding and predicting disease-altered biological processes and...
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Convex and nonconvex nonparametric frontier-based classification methods for anomaly detection
Effective methods for determining the boundary of the normal class are very useful for detecting anomalies in commercial or security applications—a...
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Markov Chain Monte Carlo Methods
The Markov Chain Monte Carlo (MCMC) methods based on the Bayes theorem are used when an a posteriori distribution does not have a tractable form and...
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Development of a Quantitative Validation of Valuation Methods for Power Plants and Energy Systems Using a Simulation-Based Benchmark
Changing framework conditions requires adapting financial valuation methods for power plants and energy systems. Up to now newly developed or adapted...
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Simulation
Simulation is one of the major devices in an operations researcher’s toolkit, and there is little doubt that it is among the most flexible and...
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Data-driven prediction of keyhole features in metal additive manufacturing based on physics-based simulation
The defect formation is closely related to molten pool and keyhole features in metal additive manufacturing. Experimentation and physics-based...
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Towards autonomous learning and optimisation in textile production: data-driven simulation approach for optimiser validation
The textile industry is a traditional industry branch that remains highly relevant in Europe. The industry is under pressure to remain profitable in...
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Intelligent factory layout design framework through collaboration between optimization, simulation, and digital twin
In the era of the fourth industrial revolution, various internet and communications technologies (ICTs) are being applied to manufacturing systems....
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Simulation Approach for Container Assignment under Uncertainty
In this chapter an online optimisation approach is proposed which can be used to find an appropriate combined schedule and container assignment in a...
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Airline revenue management with segmented continuous pricing: methods and competitive effects
With the introduction of IATA’s New Distribution Capability (NDC), airlines will no longer be limited to discrete fare classes for their fare product...
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Input Uncertainty in Stochastic Simulation
Stochastic simulation requires input probability distributions to model systems with random dynamic behavior. Given the input distributions, random...
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Simulation of recommender systems driven tourism promotion campaigns
With overtourism becoming an increasingly widespread problem, it is becoming more and more important to better analyse trends of tourists’ arrivals...
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Modi-Weibull Distribution: Inferential and Simulation Study
This paper presents a study on a new family of distributions using the Weibull distribution and termed as Modi-Weibull distribution. This...
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A simulation-based optimization approach for designing transit networks
Public transport network design deals with finding efficient network solution(s) from a set of alternatives that best satisfies the often-conflicting...
