TY - JOUR
T1 - A horizontal collaborative approach for planning the wine grape harvesting
AU - Varas, Mauricio
AU - Basso, Franco
AU - Bosch, Paul
AU - Contreras, Juan Pablo
AU - Pezoa, Raúl
N1 - Funding Information:
Franco Basso gratefully acknowledges the financial support from both the Complex Engineering Systems Institute, ISCI (grant ANID PIA AFB180003) and a Grant from Science, Technology, Knowledge, and Innovation Ministry of Chile (FONDECYT Project 11200167). Raúl Pezoa thanks doctoral scholarship to ANID-PFCHA/Doctorado Nacional/2018-21181528. Mauricio Varas thanks a Grant from Science, Technology, Knowledge, and Innovation Ministry of Chile (FONDECYT Project 11190892). Juan Pablo Contreras thanks doctoral scholarship to ANID-PFCHA/Doctorado Nacional/2019-21190161. Finally, we thank David Osorio and Tania Zelada for their excellent research assistance.
Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2022
Y1 - 2022
N2 - Horizontal collaboration is a strategy that has increasingly been used for improving supply chain operations. In this paper, we analyze the benefits of using a collaborative approach when optimally planning the wine grape harvesting process. Particularly, we assess how labor and machinery collaborative planning impacts harvesting costs. We model cooperation among wineries as a coalitional game with transferable costs for which the characteristic function vector is computed by solving a new formulation for planning the wine grape harvesting. In order to obtain stable coalitions, we devise an optimization problem that incorporates both rationality and efficiency conditions and uses the Gini index as a fairness criterion. Focusing on an illustrative case, we develop several computational experiments that show the positive effect of collaboration in the harvesting process. Moreover, our computational results reveal that the results depend strongly on the fairness criteria used. The Gini index, for example, favors the formation of smaller coalitions compared to other fairness criteria such as entropy.
AB - Horizontal collaboration is a strategy that has increasingly been used for improving supply chain operations. In this paper, we analyze the benefits of using a collaborative approach when optimally planning the wine grape harvesting process. Particularly, we assess how labor and machinery collaborative planning impacts harvesting costs. We model cooperation among wineries as a coalitional game with transferable costs for which the characteristic function vector is computed by solving a new formulation for planning the wine grape harvesting. In order to obtain stable coalitions, we devise an optimization problem that incorporates both rationality and efficiency conditions and uses the Gini index as a fairness criterion. Focusing on an illustrative case, we develop several computational experiments that show the positive effect of collaboration in the harvesting process. Moreover, our computational results reveal that the results depend strongly on the fairness criteria used. The Gini index, for example, favors the formation of smaller coalitions compared to other fairness criteria such as entropy.
KW - Cooperative game theory
KW - Harvesting planning
KW - Horizontal collaboration
KW - Wine industry
UR - http://www.scopus.com/inward/record.url?scp=85137533542&partnerID=8YFLogxK
U2 - 10.1007/s12351-022-00739-5
DO - 10.1007/s12351-022-00739-5
M3 - Article
AN - SCOPUS:85137533542
JO - Operational Research
JF - Operational Research
SN - 1109-2858
ER -