A decision support system based on a multivariate supervised regression strategy for estimating supply lead times

Author:

Barros JúlioORCID,Gonçalves João N.C.,Cortez Paulo,Carvalho M. Sameiro

Funder

Fundação para a Ciência e a Tecnologia

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference106 articles.

1. Dynamic lead-time forecasting using machine learning in a make-to-order supply chain;Alnahhal;Appl. Sci.,2021

2. An RGB-D descriptor for object classification;Arican;Romanian J. Inf. Sci. Technol.,2022

3. Impact of lead time variability in supply chain risk management;Bandaly;Int. J. Prod. Econ.,2016

4. Scale out databases for CERN use cases;Baranowski,2015

5. A systematic literature review about dimensioning safety stock under uncertainties and risks in the procurement process;Barros;Oper. Res. Perspect.,2021

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