Towards optimal engineering multitasking level through stochastic modelling

Gagandeep Singh, Leo Mougel, Yvan Beauregard and Yaoyao Fiona Zhao

International Journal of Operational Research, 2017, vol. 28, issue 2, 263-278

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.

Keywords: engineering multitasking; task switching; operational research; queuing theory; utilisation; optimisation; stochastic modelling; multitasking levels; aerospace industry; performance measures; lead times; system utilisation; queuing time; mathematical modelling; queuing theory; Jackson networks; discrete event simulation. (search for similar items in EconPapers)
Date: 2017
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