Throbbing between two lives

Resource pooling in service supply chains

Conference Paper (2018)
Author(s)

Kim E. van Oorschot (BI Norwegian Business School )

Yan Wang (TU Delft - Research Data and Software, TU Delft - Management Support)

Henk A. Akkermans (Tilburg School of Economics and Management)

Research Group
Research Data and Software
Copyright
© 2018 Kim van Oorschot, Y. Wang, Henk Akkermans
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 Kim van Oorschot, Y. Wang, Henk Akkermans
Research Group
Research Data and Software
Pages (from-to)
1096-1105
ISBN (electronic)
9780998133119
Reuse Rights

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Abstract

Resource pooling is known to benefit performance through reduced congestion, but primarily in settings with homogenous demand. In settings where demand is heterogeneous, pooling can be counter effective. The effects of pooling of staff when demand is heterogeneous and dependent are not known. We present a simulation model based on a service supply chain that delivers Interactive TV to customers. Customers expect high performance in terms of innovativeness and reliability. Based on the results of simulation analysis, we find that when target innovativeness of the service is increased, pooling outperforms not pooling, but the delays that are involved with pooling will make the system and hence its performance unstable. Stable and high performance can be realized through “unbalanced” hiring. This means that a target performance increase in the upstream stage of the chain (innovation), is accompanied by hiring staff in the downstream stages of the chain (QA and operation).