Outlines the main findings of a study of a process in a major organization (involved in the servicing of capital equipment) which seeks to predict customer demand for service calls and match these against engineering resources. The process is called the engineer availability process (EAP) and has been examined in two geographical areas of the host company. Among the findings is that, no matter what means are used to predict demand, there is always a need for a flexible revision of supply. This revision can be met between formal and informal clustering of engineers. The former delivers a consistent output of jobs per day across a clustered team whereas with informal clustering, the distribution across teams is less consistent and puts greater pressure on individual teams to match supply and demand.
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1 December 1996
This article was originally published in
Business Process Re-engineering & Management Journal
Case Report|
December 01 1996
The engineer availability process: A study of a predictive process Available to Purchase
S. Evans;
S. Evans
Quality Management Centre, Manchester School of Management, UMIST
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B. G. Dale
B. G. Dale
Quality Management Centre, Manchester School of Management, UMIST
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Publisher: Emerald Publishing
Online ISSN: 2054-5568
Print ISSN: 1355-2503
© MCB UP Limited
1996
Business Process Re-engineering & Management Journal (1996) 2 (3): 26–38.
Citation
Evans S, Dale BG (1996), "The engineer availability process: A study of a predictive process". Business Process Re-engineering & Management Journal, Vol. 2 No. 3 pp. 26–38, doi: https://doi.org/10.1108/14637159610151190
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