Improving decision making in supply chains is a key element to competitiveness that requires the best data and analysis, especially in emerging countries ( ...
There is a need for analytical methods that would be able to process great amount of data and generate support systems for decision making in different ...
Special Issue: Data-driven Decision Making in Supply Chains
www.researchgate.net › ... › Supply Chain
... [28]. The results show a data-driven model that predicts the optimal decisions with important accuracy, time efficiency, and flexibility to simultaneously ...
Special issue: Data-driven decision making in supply chains
www.semanticscholar.org › paper › Spec...
Special issue: Data-driven decision making in supply chains · M. Cedillo-Campos, R. G. González-Ramírez, +1 author. Jesús González-Feliu · Published in Computers ...
Aug 10, 2017 · It helps coordinating technical, commercial, logistics and relational capabilities internally and externally with other stakeholders. However, ...
Jan 1, 2020 · J. Fransoo, E. Blanco, C. Mejia-Argueta, 50 Million Nanostores: Retail distribution in emerging megacities, Edición Kindle, 2017. Google Scholar.
The purpose of this special issue is to present innovative research methodologies from the perspective of data-driven analysis of supply chain finance ...
Closed Special Issues · Blockchain-based applications for enhancing cybersecurity in manufacturing and building supply chain resilience · Optimizing IoT and Big ...
Special issue: Data-driven decision making in supply chains ; 106022 · Computers and Industrial Engineering · 139 · https://doi.org/10.1016/j.cie.2019.106022.
Oct 22, 2024 · Data-driven strategies improve decision-making processes, increase operational efficiency, and boost competitive advantage.