Enabling supply chain segmentation through demand profiling
Purpose - Whilst there are a plethora of theoretical ideas regarding a segmented approach to supply chain strategy, there is paucity of empirical data. This paper aims to present the results of a field-based case study in a fast moving consumer goods company (FMCGCo) that sought to identify the most...
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Veröffentlicht in: | International journal of physical distribution & logistics management 2011-01, Vol.41 (3), p.296-314 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Purpose - Whilst there are a plethora of theoretical ideas regarding a segmented approach to supply chain strategy, there is paucity of empirical data. This paper aims to present the results of a field-based case study in a fast moving consumer goods company (FMCGCo) that sought to identify the most relevant basis for supply chain segmentation.Design methodology approach - Research carried out on a single instrumental case, FMCGCo. A four-stage research design was employed to develop and test an approach to developing a segmented supply chain strategy for FMCGCo supply chain Western Europe.Findings - The study identified demand profiling at an item level (using volume and variability classifiers) as the primary driver of supply chain strategy. It also developed a novel profiling tool. This not only segmented demand but identified through the introduction of the concept of filters a method for turning the results of the demand profiling analysis into a segmented supply chain strategy.Research limitations implications - The results presented are based on a single instrumental case. It is the approach that is transferable to other supply chain contexts not the specific solution per se.Practical implications - The paper presents a practical and pragmatic approach for companies to develop a segmented supply chain strategy based on demand profiling.Originality value - The introduction of a new tool as a practical and relatively quick means of developing a segmented supply chain strategy, that considers both market and product characteristics. |
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ISSN: | 0960-0035 1758-664X |
DOI: | 10.1108/09600031111123804 |