A hybrid simulation model of helping behavior

Abstract

Companies in a variety of industries rely on their employees to work together effectively in teams to achieve their objectives. However, finding ways to encourage collaborative behavior to optimize a team's performance is often challenging. In particular, managers would like to be able to increase the likelihood that team members decide to help each other, in the event of workload imbalances. In this paper, a hybrid simulation (ABM-DES) model has been developed to investigate how workers' predisposition to altruistic tendencies, an important personality factor, influences their willingness to help their co-workers on a production task. Model inputs were derived from experimental data, including participants' personalities, perceptions, and decisions regarding whether or not to help team members complete a task. Simulation results suggest that highly altruistic individuals are more likely to help their co-workers.

Hybrid simulation modelling of the human-production process interface in lean manufacturing systems

“…The literature is replete with different approaches that have been taken to model data exchange between sub-models in the hybrid (Chahal et al, 2013;Alvanchi et al, 2011;Venkateswaran and Son, 2005;Coyle and Wolsterholm, 1980;Rabelo et al, 2015). The choice of method may depend on the skill of the modeller (Lättilä et al, 2010), but one method that has fewer disadvantages and least complex is to use a ready-made hybrid SM toolset (Lättilä et al, 2010;Oliveira et al, 2017) (Pruckner and German, 2013;Helal, 2008;Borshchev et al, 2002;Djanatliev and German, 2013;Green et al, 2017). One reason may be that it is one of the few modelling tools that offer multimethod simulation capabilities, which significantly reduces the data exchange complexity in a hybrid.…”

“…The choice of method may depend on the skill of the modeller (Lättilä et al, 2010), but one method that has fewer disadvantages and least complex is to use a ready-made hybrid SM toolset (Lättilä et al, 2010;Oliveira et al, 2017) such as AnyLogic and ExtendSim. The number of hybrid simulation researchers using AnyLogic is growing (Pruckner and German, 2013;Helal, 2008;Borshchev et al, 2002;Djanatliev and German, 2013;Green et al, 2017). One reason may be that it is one of the few modelling tools that offer multi-method simulation capabilities, which significantly reduces the data exchange complexity in a hybrid.…”