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A maturity model for demand-driven supply chains in the consumer product goods industry

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  • Mendes, Paulo
  • Leal, José Eugênio
  • Thomé, Antônio Márcio Tavares

Abstract

The paper presents a theoretical framework to assist companies to assess their current stage of maturity for a demand-driven supply chain and to develop strategies to progress towards higher maturity levels. It reviews the dimensions and stages of the maturity model, as well as the main concepts of demand-driven supply chains. A participatory consensus building approach to maturity model development was applied to three countries of an international beverage company: Brazil, the United States, and Uruguay. Teams of Supply Chain (SC) executives applied the Analytical Hierarchy Process (AHP) to assign priorities and rank the actual and desired dimensions of maturity for their own SC. The teams were able to analyse their results and deploy strategies to improve their processes towards becoming a demand-driven company, taking into consideration their competitive environment and market position. All SC currently deployed push-based strategies and are in the early stages of maturity to become demand-driven SC.

Suggested Citation

  • Mendes, Paulo & Leal, José Eugênio & Thomé, Antônio Márcio Tavares, 2016. "A maturity model for demand-driven supply chains in the consumer product goods industry," International Journal of Production Economics, Elsevier, vol. 179(C), pages 153-165.
    • Handle: RePEc:eee:proeco:v:179:y:2016:i:c:p:153-165
    DOI: 10.1016/j.ijpe.2016.06.004
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    2. Caiado, Rodrigo Goyannes Gusmão & Scavarda, Luiz Felipe & Gavião, Luiz Octávio & Ivson, Paulo & Nascimento, Daniel Luiz de Mattos & Garza-Reyes, Jose Arturo, 2021. "A fuzzy rule-based industry 4.0 maturity model for operations and supply chain management," International Journal of Production Economics, Elsevier, vol. 231(C).
    3. Alina Popa & Shahrazad Hadad & Robert Paiusan & Marian Nastase, 2018. "A New Method for Agricultural Market Share Assessment," Sustainability, MDPI, vol. 11(1), pages 1-13, December.
    4. Hausladen, Iris & Schosser, Maximilian, 2020. "Towards a maturity model for big data analytics in airline network planning," Journal of Air Transport Management, Elsevier, vol. 82(C).
    5. Ke Ma & Sébastien Thomassey & Xianyi Zeng, 2020. "Development of a central order processing system for optimizing demand-driven textile supply chains: a real case based simulation study," Annals of Operations Research, Springer, vol. 291(1), pages 627-656, August.
    6. Munyaradzi Bvuchete & Sara Saartjie Grobbelaar & Joubert van Eeden, 2021. "A Network Maturity Mapping Tool for Demand-Driven Supply Chain Management: A Case for the Public Healthcare Sector," Sustainability, MDPI, vol. 13(21), pages 1-29, October.

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