Using simulation tools for strategic decision making Mark Paich. PricewaterhouseCoopers Technology Forecast 2010, Issue 1.
Dr. Mark Paich provides examples of Decisio’s success in using AnyLogic and other simulation tools to help executives at large enterprises make major transformation decisions.» Mehr lesen
Investigating Output Accuracy for a Discrete Event Simulation Model and an Agent Based Simulation Model Mazlina Abdul Majid, Uwe Aickelin, Peer-Olaf Siebers. 2009 INFORMS at University of Warwick, June 25-27, Coventry, U.K.
In this paper, we investigate output accuracy for a Discrete Event Simulation (DES) model and Agent Based Simulation (ABS) model. The purpose of this investigation is to find out which of these simulation techniques is the best one for modelling human reactive behaviour in the retail sector. In order to study the output accuracy in both models, we have carried out a validation experiment in which we compared the results from our simulation models to the performance of a real system. Our experiment was carried out using a large UK department store as a case study.» Mehr lesen
Dynamic Learning in Human Decision Behavior for Evacuation Scenarios under BDI Framework Seungho Lee, Young-Jun Son. 2009 INFORMS at University of Warwick, June 25-27, Coventry, U.K.
A novel approach to represent learning in human decision behavior for evacuation scenarios is proposed under the context of an extended Belief-Desire-Intention framework. In particular, we focus on how a human adjusts his perception process (involving a Bayesian belief network) in Belief Module dynamically against his performance in predicting the environment as part of his decision planning function. To this end, a Q-learning algorithm (reinforcement learning algorithm) is employed and further developed.» Mehr lesen
First Steps Towards a General SysML Model for Discrete Processes in Production Systems Oliver Schönherr, Oliver Rose. 2009 Winter Simulation Conference (WSC’09), December 13-16, Austin, TX, USA
In many areas of science, like computer science or electrical engineering, modeling languages have been established, however, this is not the case in the field of discrete processes (Weilkiens 2006). There are two reasons which motivate such a development.» Mehr lesen
Are Simulation Standards in Our Future? Hans Ehm, Leon McGinnis, Oliver Rose. 2009 Winter Simulation Conference (WSC’09), December 13-16, Austin, TX, USA
This panel seeks to initiate a discussion within the production system simulation community about a fundamental change in the way we think about, teach, and implement production system simulation. Today, production system simulation, while based on formal simulation languages, is largely an artistic process.» Mehr lesen
Simulating The Effect on The Energy Efficiency of Smart Grid Technologies Albert Molderink, Maurice G.C. Bosman, Vincent Bakker, Johann L. Hurink, Gerard J.M. Smit. 2009 Winter Simulation Conference (WSC’09), December 13-16, Austin, TX, USA
The awareness of the greenhousegas effect and rising energy prices lead to initiatives to improve energy efficiency. These initiatives range from micro-generation, energy storage and efficient appliances to controllers with optimization objectives. Although these technologies are promising, their introduction may rise further questions. The implementation of such initiatives may have a severe impact on the electricity infrastructure. If several of these initiatives are introduced in a combined way, it is difficult to analyse their overall impact.» Mehr lesen
Real Options and System Dynamics Aproach To Model Value of Implementing a Project Specific Dispute Resolution Process in Construction Projects Carol C. Menassa, Feniosky Peña Mora. 2009 Winter Simulation Conference (WSC’09), December 13-16, Austin, TX, USA
This paper presents a methodology to study the effect of different resolution strategies on the value of the investment in a project-specific dispute resolution ladder (DRL) using option/real option theories from financial engineering, process centric modeling, and system dynamics methodology.» Mehr lesen
Hybrid Simulation and Optimization-Based Capacity Planner for Integrated Photovoltaic Generation with Storage Units Esfandyar M. Mazhari. 2009 Winter Simulation Conference (WSC’09), December 13-16, Austin, TX, USA
Unlike fossil-fueled generation, solar energy resources are geographically distributed and highly intermittent, which makes their direct control difficult and requires storage units. The goal of this research is to develop a flexible capacity planning tool, which will allow us to obtain a most economical mixture of capacities from solar generation as well as storage while meeting reliability requirements against fluctuating demand and weather conditions. The tool is based on hybrid (system dynamics and agent-based models) simulation and meta-heuristic optimization.» Mehr lesen
Agent-based Modeling and Simulation Charles M. Macal, Michael J. North. 2009 Winter Simulation Conference (WSC’09), December 13-16, Austin, TX, USA
Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of autonomous, interacting agents. Computational advances have made possible a growing number of agent-based models across a variety of application domains. Applications range from modeling agent behavior in the stock market, supply chains, and consumer markets, to predicting the spread of epidemics, mitigating the threat of bio-warfare, and understanding the factors that may be responsible for the fall of ancient civilizations.» Mehr lesen
How to Test Your Models More Effectively: Applying Agile and Automated Techniques to Simulation Testing James T. Sawyer, David M. Brann. 2009 Winter Simulation Conference (WSC’09), December 13-16, Austin, TX, USA
In the industrial engineering community, it’s a well-known adage that focusing on process can help achieve better results. In this second of a series of papers, we’ll focus on the process of simulation testing and outline how improving your testing process can lead to better results for your projects. We’ll consider model building as a software development exercise, and discuss how best practices from the broader software testing community can be applied for process improvement.» Mehr lesen