A horizontal collaboration approach for grape transportation in a pisco cooperative

IF 6.5 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Industrial Engineering Pub Date : 2025-02-01 Epub Date: 2024-12-20 DOI:10.1016/j.cie.2024.110797
Franco Basso , Carlos A. Monardes-Concha , Francisco Lorca , Raúl Pezoa , Mauricio Varas
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Abstract

This paper proposes a novel horizontal collaborative framework for grape transportation within a cooperative that supplies grapes for pisco production. Nowadays, each cooperative member collects and delivers grapes to previously assigned processing plants without coordinating with the other members. In order to evaluate the potential impact of shared transport resources, we model collaboration among farmers as a cooperative game with transferable cost, where a mixed integer programming formulation that models transport activities is repeatedly solved for computing the characteristic function. Although the grand coalition is theoretically better than any other coalition structure, our approach limits the number of farmers per coalition to assess incremental collaboration’s benefits. By conducting a case study involving sixty farmers, we show that a collaborative approach leads to a 13.4% reduction in the cooperative’s transportation costs. However, we observe that the benefits of collaboration show diminishing returns. Particularly, we show that a coalition structure with a maximum number of three players per coalition captures almost 94% of the maximum potential savings.
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皮斯科合作社葡萄运输的横向协作方法
本文提出了一种新的葡萄运输横向协作框架,在合作供应葡萄皮斯科生产。如今,每个合作社成员收集葡萄并将其运送到先前指定的加工厂,而无需与其他成员协调。为了评估共享运输资源的潜在影响,我们将农民之间的合作建模为具有可转移成本的合作博弈,其中反复求解运输活动模型的混合整数规划公式以计算特征函数。虽然大联盟在理论上比任何其他联盟结构都要好,但我们的方法限制了每个联盟的农民数量,以评估增量合作的好处。通过对60名农民的案例研究,我们发现合作方式可以使合作社的运输成本降低13.4%。然而,我们观察到合作的好处显示出递减的回报。特别是,我们表明,每个联盟最多有三个参与者的联盟结构几乎可以获得最大潜在储蓄的94%。
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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