Simulation Modeling and Analysis

TL;DR: This paper develops a generic terminal model and simulate the disruptive scenario of a terminal clearance for different operational schedules of selected airports, and can draw first conclusions on airport terminal resilience depending on the airport characteristics as well as the properties of the disruption scenario.

TL;DR: The findings show that the studied schedulers prioritise sensing activities related to checking emails rather than monitoring for disruptions in a decision support system, and find a higher potential for relative improvement in terms of responding to possible disruptions shown in decision support systems rather than responding to email requests.

TL;DR: This chapter describes an algorithm for computing the PDF of the product of two independent continuous random variables that has been implemented in the Product procedure in APPL.

TL;DR: A metric-based comparison between the traditional discrete-event and the emerging agent-based modeling approaches is reported and it is recognized that agent- based modeling can emulate high-level human decision-making and communication closely while discrete- event modeling provides a good fit for low-level sequential processes such as those found in manufacturing and logistics.

TL;DR: Here the authors haven’t even started the project yet, and already they’re forced to answer many questions: what will this thing be named, what directory will it be in, what type of module is it, how should it be compiled, and so on.

TL;DR: The analytic hierarchy process (AHP) includes both the rating and comparison methods and requires developing a reliable hierarchic structure or feedback network that includes criteria of various types of influence, stakeholders, and decision alternatives to determine the best choice.

TL;DR: A compilation of modern decision-making techniques, Multiple Attribute Decision Making: Methods and Applications focuses on the fuzzy set approach to multiple attribute decision making (MADM).