Human system analysis for productivity indicators using virtual engineering simulation modelling

Abstract

Continuous efforts are required to incorporate the human related variances when, to design human system. So far discrete event simulation techniques are used to document partially the human performance with respect to productivity using assumed and estimated data. This article proposes a new approach to enhance the estimated data used in discrete event simulation(DES) models with data available from virtual engineering(VE) models. Virtual models emulate the entire human and machine interacted processes, using the early available CAD data during production line design. Developing an integration between virtual engineering environment with DES model could help to validate and analyse the human system in modern manufacturing systems well before their physical appearance for productivities indicators. The on-going research particularly defines the algorithm used to model the human behaviour and model the probabilistic data available from the past activities to the discrete event simulation models through virtual engineering domain.