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With the increasing complexity of construction projects grows the challenge of securing safety and achieving desirable productivity as the chief priorities of the construction industry. Addressing these issues requires robust mechanisms for on-site real-...

Software development projects are difficult to manage due to the high uncertainty in their various phases. Simulation is one of the tools that has been used to help software project managers produce project plans. Research into software process ...

In this study we present the development of a conceptual framework for a hybrid agent-based discrete event simulation model within the context of emergency medical services. There are many existing simulation models of emergency medical services (EMS), ...

The possibilities of combining simulation and optimization are vast and the appropriate design highly depends on the problem characteristics. Therefore, it is very important to have a good overview of the different approaches. The classifications ...

Systems biology aims to facilitate the understanding of complex interactions between components in biological systems. Petri nets (PN), and in particular Coloured Petri Nets (CPN) have been demonstrated to be a suitable formalism for modelling ...

Environments play an important role in multi-agent systems. They present the context agents operate in. When testing multi-agent systems by simulation, the environment and partly agents have to be modeled. We explore the potential of Multi-Level-DEVS to ...

As more and more functionalities are packed into a single product, one-response-at--a-time correlation analysis is no longer sufficient to discover critical factors that result in poor qualities or a low yield. Though methodologies of many-to-many ...

This paper gives an overview of several optimization solutions for semiconductor problems using mixed integer programming (MIP). The single solutions presented in former papers are not key of the publication. We rather focus on the generic portion ...

In agent based modeling many approaches are used for modeling agents' behavior. They range from relaxing the rationality assumption to considering participants' behavior in experiments. Important suggestions come from qualitative research in ...

Simulation modeling of population health is being used increasingly for epidemiology research and public health policy-making. However, the impact of population health simulation models is inhibited by their complexity and the lack of established ...

Interpolation and smoothing methods form the basis of simulation metamodeling. In high dimensional metamodeling problems, larger numbers of design points are needed to build an accurate metamodel. This paper introduces a procedure to implement a ...

Using Sampled Fictitious Play (SFP) concepts, we develop SFPL: Sampled Fictitious Play Learning --- a learning algorithm for solving discounted homogeneous Markov Decision Problems where the transition probabilities are unknown and need to be learned ...

We consider optimization via simulation over a finite set of alternatives. We employ a Bayesian value-of-information approach in which we allow both correlated prior beliefs on the sampling means and correlated sampling. Correlation in the prior belief ...

Distributed systems with multi-stage workflows are characterized by multiple logical stages which can either execute sequentially or concurrently and a single stage can be executed on one or more physical nodes. Knowing the mapping of logical stages to ...

Factor trees are relatively simple causal diagrams that indicate the many factors contributing to a phenomenon or effect at a snapshot in time. They consist of nodes and directional arcs (arrows) arranged in nearly hierarchical layers so that the effect ...

Agent-based simulation (ABS) systems are increasingly being used to solve a wide-array of problems in business, telecommunications, robotics, games, and military applications. ABS modelers face two challenges: First, performance is affected, as their ...

This paper presents two problem formulations for scheduling the maintenance of a fighter aircraft fleet under conflict operating conditions. In the first formulation, the average availability of aircraft is maximized by choosing when to start the ...

In this paper we apply multiattribute ranking and selection to the management of a port facility in the environmentally sensitive Prince William Sound area of Alaska. The approach allows tradeoffs between the disparate performance measures associated ...

Agent Based modeling (ABM) platforms such as Repast and its predecessors are popular for developing simulations to understand complex phenomenon and interactions. Such simulations are increasingly used as support tools for policy and planning. This work ...

Using the subject matter of neighborhood crime, we explore how to conduct conventional quantitative social science using simulation as a way of formulating theory and performing empirical tests of theory, thus replacing the dominant methodological ...