Stochastic modelling of taxpayer assistance centre for performability evaluation Online publication date: Fri, 10-Mar-2017
by Rosiberto Dos Santos Gonçalves; Eduardo Antônio Guimarães Tavares; Gabriel Alves De Albuquerque Junior; Bruno Silva
International Journal of Business Process Integration and Management (IJBPIM), Vol. 8, No. 1, 2017
Abstract: Over the years, there has been an increasing pressure to improve public service, most notably, the ones that directly interact with taxpayers. However, in emerging countries, public sector is ruled by a bureaucratic structure, which complicates coordination and execution of services. Stochastic modelling provides a prominent mechanism for assessing government processes, as different configurations can be evaluated in order to enable cost reduction as well as the maximisation of service performance. This work presents an approach based on stochastic Petri nets (SPNs) for performability evaluation of government process related to taxpayer assistance centre (TAC). A real-world case study demonstrates the practical suitability of the proposed approach.
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