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Using queueing models to estimate system capacity

Björn Lantz (Institutionen för teknikens ekonomi och organisation, Innovation and R&D Management) ; Peter Rosén
Production planning & control (0953-7287). Vol. 28 (2017), 13, p. 1037-1046.
[Artikel, refereegranskad vetenskaplig]

The true capacity of a production or service system is often difficult to estimate with sufficient accuracy. The two main methodological approaches to capacity measurement described in the literature – measurements based on engineering and physical factors and measurement based on time studies – are both characterized by conceptual as well as practical shortcomings. This paper provides analyses on how capacity measurement can be approached using queueing models, thereby eliminating some major drawbacks of other approaches. For example, the suggested method is completely insensitive to the proportional relationship between design and effective capacity, and it cannot cause any behavioural problems during measurement since it does not require direct observation of the system itself. Particularly appealing is the potential for practical application to many contexts in many regions. The validity of the approach is discussed.

Nyckelord: Capacity measurement, capacity planning, queuing models, effective capacity, Hawthorne effect

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Denna post skapades 2017-04-25. Senast ändrad 2017-07-31.
CPL Pubid: 248950


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Institutioner (Chalmers)

Institutionen för teknikens ekonomi och organisation, Innovation and R&D Management
Företagsekonomiska institutionen, Industriell och Finansiell ekonomi & logistik (GU)


Övrig industriell teknik och ekonomi

Chalmers infrastruktur