The purpose of this paper is to investigate the data profile of manufacturing small and medium enterprises (SMEs) with specific emphasis on understanding the data readiness of SMEs for discrete event simulation (DES) modelling.
Research was conducted through a review of literature and a survey research strategy of manufacturing SMEs.
This paper illustrates the data profile of manufacturing SMEs. Insight is provided on the types of data collected by SMEs, the collection methods used and how these data are stored by the SMEs. Additionally size and age effects are considered. Based on this data profile, conclusions are made regarding an indication of data readiness of manufacturing SMEs for DES modelling.
This research is focused specifically on manufacturing SMEs in Ireland, other countries and sectors are not investigated.
This paper provides owner-managers and senior management insight into the data profile of manufacturing SMEs and their potential for utilisation of DES for performance improvement and decision support.
This paper addresses the gaps that exist in the knowledge of the data profile of manufacturing SMEs and consequently the status of this profile with regard to the readiness of SMEs for DES modelling.
This work was conducted by Dublin City University and is funded by Enterprise Ireland under project reference number CF-2012-2647 (see www.sim.ie).
Ivers, A., Byrne, J. and Byrne, P. (2016), "Analysis of SME data readiness: a simulation perspective", Journal of Small Business and Enterprise Development, Vol. 23 No. 1, pp. 163-188. https://doi.org/10.1108/JSBED-03-2014-0046Download as .RIS
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