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Marcos Goycoolea · Study

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Marcos Goycoolea

3 works· latest 2021· 1 institutionscluster: provisionalORCID 0000-0003-1904-7215

h-index3

i103

Citations122

Works here3

17

18

21

Most cited in this library

A multi-mode resource-constrained project scheduling reformulation for the waterway ship scheduling problem2018 · 62 citations
A study of the Bienstock–Zuckerberg algorithm: applications in mining and resource constrained project scheduling2017 · 39 citations
Predicting Out-of-Stock Using Machine Learning: An Application in a Retail Packaged Foods Manufacturing Company2021 · 21 citations

Works

3 shown

Predicting Out-of-Stock Using Machine Learning: An Application in a Retail Packaged Foods Manufacturing Company

Electronics·2021·3 authors·Open access

21citations

A multi-mode resource-constrained project scheduling reformulation for the waterway ship scheduling problem

Journal of Scheduling·2018·4 authors·Open access

62citations

A study of the Bienstock–Zuckerberg algorithm: applications in mining and resource constrained project scheduling

Computational Optimization and Applications·2017·5 authors·Open access

39citations