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A beginner's guide to systems simulation in immunology (2012)
Book Chapter
Figueredo, G. P., Siebers, P., Aickelin, U., & Foan, S. (2012). A beginner's guide to systems simulation in immunology. In J. Greensmith, C. A. Coello Coello, N. Krasnogor, P. Liò, G. Nicosia, & M. Pavone (Eds.), Artificial immune systems: 11th International Conference, ICARIS 2012, Taormina, Italy, August 28-31, 2012: proceedingsSpringer

Some common systems modelling and simulation approaches for immune problems are Monte Carlo simulations, system dynamics, discrete-event simulation and agent-based simulation. These methods, however, are still not widely adopted in immunology researc... Read More about A beginner's guide to systems simulation in immunology.

Towards the development of a simulator for investigating the impact of people management practices on retail performance (2011)
Journal Article
Siebers, P., Aickelin, U., Celia, H., & Clegg, C. (2011). Towards the development of a simulator for investigating the impact of people management practices on retail performance. Journal of Simulation, 5(4), 242-265. doi:10.1057/jos.2010.20

Often models for understanding the impact of management practices on retail performance are developed under the assumption of stability, equilibrium and linearity, whereas retail operations are considered in reality to be dynamic, non-linear and comp... Read More about Towards the development of a simulator for investigating the impact of people management practices on retail performance.

Modelling Reactive and Proactive Behaviour in Simulation: A Case Study in a University Organisation (2011)
Conference Proceeding
Abdul Majid, M., Siebers, P., & Aickelin, U. (2011). Modelling Reactive and Proactive Behaviour in Simulation: A Case Study in a University Organisation. https://doi.org/10.2139/ssrn.2829269

Simulation is a well established what-if scenario analysis tool in Operational Research (OR). While traditionally Discrete Event Simulation (DES) and System Dynamics Simulation (SDS) are the predominant simulation techniques in OR, a new simulation t... Read More about Modelling Reactive and Proactive Behaviour in Simulation: A Case Study in a University Organisation.

Modelling electricity consumption in office buildings: an agent based approach (2011)
Journal Article
Zhang, T., Siebers, P., & Aickelin, U. (2011). Modelling electricity consumption in office buildings: an agent based approach. Energy and Buildings, 43(10), doi:10.1016/j.enbuild.2011.07.007

In this paper, we develop an agent-based model which integrates four important elements, i.e. organisational energy management policies/regulations, energy management technologies, electric appliances and equipment, and human behaviour, to simulate t... Read More about Modelling electricity consumption in office buildings: an agent based approach.

A first approach on modelling staff proactiveness in retail simulation models (2011)
Journal Article
Siebers, P., & Aickelin, U. (2011). A first approach on modelling staff proactiveness in retail simulation models. Journal of Artificial Societies and Social Simulation, 14(2),

There has been a noticeable shift in the relative composition of the industry in the developed countries in recent years; manufacturing is decreasing while the service sector is becoming more important. However, currently most simulation models for... Read More about A first approach on modelling staff proactiveness in retail simulation models.

Systems dynamics or agent-based modelling for immune simulation? (2011)
Book Chapter
Figueredo, G. P., Aickelin, U., & Siebers, P. (2011). Systems dynamics or agent-based modelling for immune simulation?. In G. Nicosia, P. Liò, & T. Stibor (Eds.), Artificial immune systems: 10th international conference, ICARIS 2011, Cambridge, UK, July 18-21, 2011: proceedingsSpringer

In immune system simulation there are two competing simulation approaches: System Dynamics Simulation (SDS) and Agent-Based Simulation (ABS). In the literature there is little guidance on how to choose the best approach for a specific immune problem.... Read More about Systems dynamics or agent-based modelling for immune simulation?.

Modelling office energy consumption: an agent based approach (2010)
Conference Proceeding
Zhang, T., Siebers, P., & Aickelin, U. (2010). Modelling office energy consumption: an agent based approach

In this paper, we develop an agent-based model which integrates four important elements, i.e. organisational energy management policies/regulations, energy management technologies, electric appliances and equipment, and human behaviour, based on a ca... Read More about Modelling office energy consumption: an agent based approach.

Discrete-event simulation is dead, long live agent-based simulation! (2010)
Journal Article
SIEBERS, P., Macal, C. M., Garnett, J., Buxton, D., & Pidd, M. (2010). Discrete-event simulation is dead, long live agent-based simulation!. Journal of Simulation, 4(3), 204-210

There has been much discussion about why agent-based simulation (ABS) is not as widely used as discrete-event simulation in Operational Research (OR) as it is in neighbouring disciplines such as Computer Science, the Social Sciences or Economics. To... Read More about Discrete-event simulation is dead, long live agent-based simulation!.

Scenario analysis, decision trees and simulation for cost benefit analysis of the cargo screening process (2010)
Book Chapter
Sherman, G., Siebers, P., Aickelin, U., & Menachof, D. (2010). Scenario analysis, decision trees and simulation for cost benefit analysis of the cargo screening process. In L. Landau, A. G. Bruzzone, G. G. Cunha, & S. Saetta (Eds.), The International Workshop on Applied Modelling and Simulation: WAMS, Buizos, 2010COPPE/UFRJ

In this paper we present our ideas for conducting a cost benefit analysis by using three different methods: scenario analysis, decision trees and simulation. Then we introduce our case study and examine these methods in a real world situation. We sh... Read More about Scenario analysis, decision trees and simulation for cost benefit analysis of the cargo screening process.

Simulating customer experience and word-of-mouth in retail: a case study (2010)
Journal Article
Siebers, P., Aickelin, U., Celia, H., & Clegg, C. W. (2010). Simulating customer experience and word-of-mouth in retail: a case study. SIMULATION, 86(1), doi:10.1177/0037549708101575

Agents offer a new and exciting way of understanding the world of work. In this paper we describe the development of agent-based simulation models, designed to help to understand the relationship between people management practices and retail perfor... Read More about Simulating customer experience and word-of-mouth in retail: a case study.

Modelling and simulating retail management practices: a first approach (2009)
Journal Article
Siebers, P., Aickelin, U., Celia, H., & Clegg, C. (2009). Modelling and simulating retail management practices: a first approach. International Journal of Simulation and Process Modelling, 5(3), doi:10.1504/IJSPM.2009.031096

Multi-agent systems offer a new and exciting way of understanding the world of work. We apply agent-based modeling and simulation to investigate a set of problems in a retail context. Specifically, we are working to understand the relationship betwe... Read More about Modelling and simulating retail management practices: a first approach.

Comparing simulation output accuracy of discrete event and agent based models: a quantitative approach (2009)
Journal Article
Abdul Majid, M., Aickelin, U., & Siebers, P. (2009). Comparing simulation output accuracy of discrete event and agent based models: a quantitative approach

In our research we investigate the output accuracy of discrete event simulation models and agent based simulation models when studying human centric complex systems. In this paper we focus on human reactive behaviour as it is possible in both mod... Read More about Comparing simulation output accuracy of discrete event and agent based models: a quantitative approach.

Investigating output accuracy for a discrete event simulation model and an agent based simulation model (2009)
Conference Proceeding
Abdul Majid, M., Aickelin, U., & Siebers, P. (2009). Investigating output accuracy for a discrete event simulation model and an agent based simulation model

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 hum... Read More about Investigating output accuracy for a discrete event simulation model and an agent based simulation model.

Enhancing productivity: the role of management practices (2008)
Journal Article
Siebers, P., Aickelin, U., Battisti, G., Celia, H., Clegg, C., Fu, X., …Peixoto, A. (2008). Enhancing productivity: the role of management practices

There is no doubt that management practices are linked to the productivity and performance of a company. However, research findings are mixed. This paper provides a multi-disciplinary review of the current evidence of such a relationship and offers s... Read More about Enhancing productivity: the role of management practices.

An agent-based simulation of in-store customer experiences (2008)
Conference Proceeding
Siebers, P., Aickelin, U., Celia, H., & Clegg, C. (2008). An agent-based simulation of in-store customer experiences

Agent-based modelling and simulation offers a new and exciting way of understanding the world of work. In this paper we describe the development of an agent-based simulation model, designed to help to understand the relationship between human resourc... Read More about An agent-based simulation of in-store customer experiences.

Understanding Retail Productivity by Simulating Management Practices (2007)
Conference Proceeding
Siebers, P., Aickelin, U., Celia, H., & Clegg, C. (2007). Understanding Retail Productivity by Simulating Management Practices

Intelligent agents offer a new and exciting way of understanding the world of work. In this paper we apply agent-based modeling and simulation to investigate a set of problems in a retail context. Specifically, we are working to understand the relati... Read More about Understanding Retail Productivity by Simulating Management Practices.

Humans: The missing link in manufacturing simulation? (2003)
Journal Article
Baines, T., Mason, S., Siebers, P., & Ladbrook, J. (2004). Humans: The missing link in manufacturing simulation?. Simulation Modelling Practice and Theory, 12(7-8), 515-526. doi:10.1016/S1569-190X(03)00094-7

Computer based discrete event simulation (DES) is one of the most commonly used aids for the design of automotive manufacturing systems. However, DES tools represent machines in extensive detail, while only representing workers as simple resources. T... Read More about Humans: The missing link in manufacturing simulation?.

Using Intelligent Agents to Understand Management Practices and Retail Productivity
Conference Proceeding
Siebers, P., Aickelin, U., Celia, H., & Clegg, C. Using Intelligent Agents to Understand Management Practices and Retail Productivity

Intelligent agents offer a new and exciting way of understanding the world of work. In this paper we apply agent-based modeling and simulation to investigate a set of problems in a retail context. Specifically, we are working to understand the relati... Read More about Using Intelligent Agents to Understand Management Practices and Retail Productivity.

Modelling and analysing cargo screening processes: a project outline
Conference Proceeding
Siebers, P., Aickelin, U., Menachof, D., & Sherman, G. Modelling and analysing cargo screening processes: a project outline

The efficiency of current cargo screening processes at sea and air ports is unknown as no benchmarks exists against which they could be measured. Some manufacturer benchmarks exist for individual sensors but we have not found any benchmarks that tak... Read More about Modelling and analysing cargo screening processes: a project outline.

Modelling reactive and proactive behaviour in simulation
Conference Proceeding
Majid, M. A., Siebers, P., & Aickelin, U. Modelling reactive and proactive behaviour in simulation

This research investigated the simulation model behaviour of a traditional and combined discrete event as well as agent based simulation models when modelling human reactive and proactive behaviour in human centric complex systems. A departmental st... Read More about Modelling reactive and proactive behaviour in simulation.