Instances for "Sugarcane Harvest Logistics in Brazil"

Kamal Lamsal; Philip C. Jones; Barrett W. Thomas

doi:10.25820/39bk-d102

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Instances for "Sugarcane Harvest Logistics in Brazil"

Dataset

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Instances for "Sugarcane Harvest Logistics in Brazil"

Kamal Lamsal, Philip C. Jones and Barrett W. Thomas

University of Iowa

07/11/2016

DOI: 10.25820/39bk-d102

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Abstract

Posted are the mill area geographies and the Python code for transforming the geographies into individual instances. The geographies and code allow one to recreate the instances used in the paper "Sugarcane Harvest Logistics in Brazil" published in Transportation Science Vol. 51, No. 2, May 2017, pp. 771–789. https://doi.org/10.1287/trsc.2015.0650.

Business

Integer Programming

Operational Research

dataset

sugarcane

Details

Title: Subtitle: Instances for "Sugarcane Harvest Logistics in Brazil"
Creators: Kamal Lamsal - Emporia State University
Philip C. Jones - University of Iowa
Barrett W. Thomas - University of Iowa
Resource Type: Dataset
Publisher: University of Iowa
DOI: 10.25820/39bk-d102
Grant note: Funder: John Deere
Language: English
Date published: 07/11/2016
Academic Unit: Management and Entrepreneurship ; Business Analytics; Bus Admin College
Record Identifier: 9983557554802771

Instances for "Sugarcane Harvest Logistics in Brazil"

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