Author
Listed:
- Gustavo Adoolffo Francisco Ramos Da Silva
(School of Engineering, Federal University of Rio Grande (FURG), Santo Antônio da Patrulha 95500-000, Brazil)
- Ismael Cristofer Baierle
(Agroindustrial Systems and Processes Graduate Program, Federal University of Rio Grande (FURG), Santo Antônio da Patrulha 95500-000, Brazil)
- Leonardo de Carvalho Gomes
(School of Engineering, Federal University of Rio Grande (FURG), Santo Antônio da Patrulha 95500-000, Brazil)
- Ricardo Gonçalves de Faria Correa
(School of Engineering, Federal University of Rio Grande (FURG), Santo Antônio da Patrulha 95500-000, Brazil)
- Fernanda Araújo Pimentel Peres
(School of Engineering, Federal University of Rio Grande (FURG), Santo Antônio da Patrulha 95500-000, Brazil)
Abstract
The search for competitiveness has led organizations to recognize the importance of implementing collaborative methods. In this context, Collaborative Planning, Forecasting, and Replenishment (CPFR) seek to relate customer demands to replenishment needs throughout the supply chain. The literature points to implementation difficulties, such as trust between partners and commitment, and to overcome these difficulties, the digital technologies of Industry 4.0 are emerging as an essential support. This paper aims to research the applicability and contribution of Industry 4.0 digital technologies to the CPFR, considering each stage of the CPFR. A systematic literature review identified an unexplored gap: the use and contribution of Industry 4.0 digital technologies to the functioning of the CPFR. Considering the sequence of the CPFR stages and their dependence on each other, a roadmap can be developed for using Industry 4.0 digital technologies in each stage of the CPFR. It was, therefore, possible to create a roadmap indicating, based on current literature, which Industry 4.0 digital technologies can enhance SCM at each stage of the CPFR. This roadmap has two significant contributions: (i) to guide companies in prioritizing the implementation of these technologies in support of supply chain objectives and (ii) to serve as a basis for further empirical studies, highlighting the development of this roadmap through its application in real situations.
Suggested Citation
Gustavo Adoolffo Francisco Ramos Da Silva & Ismael Cristofer Baierle & Leonardo de Carvalho Gomes & Ricardo Gonçalves de Faria Correa & Fernanda Araújo Pimentel Peres, 2024.
"A Comprehensive Roadmap for Connecting Industry 4.0 Technologies to the Basic Model of Collaborative Planning, Forecasting, and Replenishment (CPFR),"
Administrative Sciences, MDPI, vol. 14(6), pages 1-18, May.
Handle:
RePEc:gam:jadmsc:v:14:y:2024:i:6:p:108-:d:1399114
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