Supply chain management: a framework to characterize the collaborative strategies

Ridha Derrouiche (), Gilles Neubert and Abdelaziz Bouras
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Ridha Derrouiche: PRISMA - Laboratoire de Productique et Informatique des systèmes manufacturiers - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées, IUT Lumière CERRAL - IUT Lumière CERRAL
Gilles Neubert: PRISMA - Laboratoire de Productique et Informatique des systèmes manufacturiers - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées, IUT Lumière CERRAL - IUT Lumière CERRAL
Abdelaziz Bouras: PRISMA - Laboratoire de Productique et Informatique des systèmes manufacturiers - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées, IUT Lumière CERRAL - IUT Lumière CERRAL

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Abstract: The current intense competition forces enterprises to pay attention to supply chain collaboration with their upstream and downstream partners. Different collaborative strategies such as quick response (QR), efficient consumer response (ECR), vendor managed inventory (VMI) or collaborative planning, forecasting and replenishment (CPFR) have already been proposed. The key to ensuring that the supply chain partners are progressing on the right track of creating the best-in-class practice lays in their ability to choose the appropriate strategy. The current paper proposes a framework, based on analysis grids and graphical representations, which help to better characterize these strategies. The analysis grids use several characterization criteria to express the collaboration nature and its extent. For a better understanding, this framework is then applied to the CPFR strategy.

Keywords: Supply chain management; Collaborative strategies; Analysis framework; CPFR; UML (search for similar items in EconPapers)
Date: 2008-06-01
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Citations: View citations in EconPapers (6)

Published in International Journal of Computer Integrated Manufacturing, 2008, 21 (4), 426-439 p. ⟨10.1080/09511920701574461⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02313244

DOI: 10.1080/09511920701574461

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