All Outputs (3)

Towards the development of a simulator for investigating the impact of people management practices on retail performance (2014)
Book Chapter
Siebers, P., Aickelin, U., Celia, H., & Clegg, C. (2014). Towards the development of a simulator for investigating the impact of people management practices on retail performance. In S. J. Taylor (Ed.), Agent-based modeling and simulation (97-132). Palgrave Macmillan. https://doi.org/10.1057/9781137453648_7

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.

An investigation on test driven discrete event simulation (2014)
Conference Proceeding
Asta, S., Özcan, E., & Peer-Olaf, S. (2014). An investigation on test driven discrete event simulation.

This paper deals with the application of modern software development tools on simulation development. Recently, Agile Software Development (ASD) methods enjoy an increasing popularity. eXtreme Programming (XP) techniques, one of the techniques which... Read More about An investigation on test driven discrete event simulation.

Comparing stochastic differential equations and agent-based modelling and simulation for early-stage cancer (2014)
Journal Article
Figueredo, G. P., Siebers, P., Owen, M. R., Reps, J., & Aickelin, U. (2014). Comparing stochastic differential equations and agent-based modelling and simulation for early-stage cancer. PLoS ONE, 9(4), Article e95150. https://doi.org/10.1371/journal.pone.0095150

There is great potential to be explored regarding the use of agent-based modelling and simulation as an alternative paradigm to investigate early-stage cancer interactions with the immune system. It does not suffer from some limitations of ordinary d... Read More about Comparing stochastic differential equations and agent-based modelling and simulation for early-stage cancer.