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International Journal of Production Economics
Article . 2012 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
SSRN Electronic Journal
Article . 2010 . Peer-reviewed
Data sources: Crossref
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Cross Training Policies in Field Services

Authors: P.J. Colen; M.R. Lambrecht;

Cross Training Policies in Field Services

Abstract

As the trend towards more after sales services progresses through the industrial equipment industry, OEMs are now offering comprehensive service contracts in which they take full responsibility for the functioning of their customers’ machines. The growing responsibilities allow for more leeway in determining how to maintain the machinery. At the same time the OEM is directly effected by the success of its maintenance operations. This is certainly the case for capacity decisions in its field operations, which is the focus of this paper. One of the most important capacity decisions in field service operations is determining the training level of technicians. A field service organization can employ fully cross trained technicians which are trained to execute any service job. However, training and retaining these employees can be very expensive. Therefore, it can be cost effective to use dedicated technicians who received a focused training enabling them to perform a limited range of service jobs. We conducted a simulation study of the field service operations of an OEM in the compressed air industry to be able to evaluate the possibility to deploy technicians dedicated to preventive maintenance instead of fully cross trained technicians. We analyze the cross training decision for different scenariosin which a considerable part of the installed based is covered by service contracts. Due to these service contracts, maintenance demand as experienced by the field service organization is influenced by the cross training decisions. Ourcontribution consists of identifying the optimal cross training policy and the factors that influence the benefits of the different workforce configurations while taking into account the effect of the capacity decisions on the maintenance demand. We succeed to do this by characterizing the failure behavior of the individual machines. We find evidence that full cross training might be especially beneficial in a field service setting even when the effect on demand is taking into account.

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    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Average
Top 10%
Top 10%
bronze