A First Approach on Modelling Staff Proactiveness in Retail Simulation Models

TL;DR

This paper explores the integration of object-oriented agent-based modeling with traditional process-oriented simulation to better capture human proactive behavior in retail service systems, improving model accuracy and decision-making.

Contribution

It introduces a hybrid simulation approach combining process and agent-based models to incorporate staff proactiveness in retail simulations, enhancing their realism and usefulness.

Findings

Considering proactivity improves model validity.

Proactive modeling leads to better management strategy recommendations.

Hybrid models better capture human behavior dynamics.

Abstract

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 investigating service systems are still built in the same way as manufacturing simulation models, using a process-oriented world view, i.e. they model the flow of passive entities through a system. These kinds of models allow studying aspects of operational management but are not well suited for studying the dynamics that appear in service systems due to human behaviour. For these kinds of studies we require tools that allow modelling the system and entities using an object-oriented world view, where intelligent objects serve as abstract "actors" that are goal directed and can behave proactively. In our work we combine process-oriented discrete event simulation modelling and object-oriented agent based simulation modelling to investigate the impact of people management practices on retail productivity. In this paper, we reveal in a series of experiments what impact considering proactivity can have on the output accuracy of simulation models of human centric systems. The model and data we use for this investigation are based on a case study in a UK department store. We show that considering proactivity positively influences the validity of these kinds of models and therefore allows analysts to make better recommendations regarding strategies to apply people management practises.