Towards optimal engineering multitasking level through stochastic modelling Online publication date: Tue, 10-Jan-2017
by Gagandeep Singh; Leo Mougel; Yvan Beauregard; Yaoyao Fiona Zhao
International Journal of Operational Research (IJOR), Vol. 28, No. 2, 2017
Abstract: Multitasking or task switching has been a topic of interest and research in the field of operations management. There has been a little yet no full proof as to how increasing multitasking levels affect the performance of a whole engineering system. The goal of this paper is to introduce the concept of task switching into a network of engineers which handles and executes the quality complaints of a major aerospace firm and to observe the trends of performance measures such as average lead time, system utilisation and queuing time with increasing multitasking levels. The paper develops a mathematical model based on queuing theory and Jackson networks which is then applied to a discrete events-based simulation model.
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