在非营利机构中为公平有效地分配食物而进行协作性车辆调度

IF 3.2 Q2 MANAGEMENT
Rabiatu Bonku, Faisal Alkaabneh, Lauren Berrings Davis
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引用次数: 0

摘要

目的受食物银行分配业务的启发,本文旨在研究同步车辆路由,以实现公平有效的食物分配。设计/方法/途径本研究引入了一个多目标混合整数编程(MIP)模型,旨在应对有效分配食物这一复杂挑战,尤其是为城市和农村低收入地区弱势群体提供服务的食物银行。本文所描述的优化方法非常重视社会和经济因素,它将食物公平地分配给食物银行的合作机构,同时最大限度地减少路途距离和浪费。为了评估该方法的性能,本文对三种不同的模型进行了评估,重点关注有效性、公平性和效率等关键性能指标。本文利用随机生成的数据进行了全面的数值分析,以深入了解由此产生的权衡问题,并为食物银行管理人员提供有价值的管理见解。此外,分析结果表明,通过同步概念对车辆进行补给可以提高分配给合作机构的粮食总量,从而提高粮食的可获得性。研究局限/意义本文为人道主义物流领域的优化方法文献做出了重要贡献。实际意义本研究为粮食银行管理者提供了三种不同的模式,每种模式都具有多方面的权衡性质,可以更好地应对粮食不安全的复杂挑战。社会意义本文通过提高粮食银行的运营效率,最终改善其为有需要的社区提供服务的能力,为社会责任做出了重大贡献。原创性/价值据作者所知,本文是首次提出并分析非营利环境下车辆路线问题的新变体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Collaborative vehicle routing for equitable and effective food allocation in nonprofit settings
Purpose Inspired by a food bank distribution operation, this paper aims to study synchronized vehicle routing for equitable and effective food allocation. The primary goal is to improve operational efficiency while ensuring equitable and effective food distribution among the partner agencies. Design/methodology/approach This study introduces a multiobjective Mixed Integer Programming (MIP) model aimed at addressing the complex challenge of effectively distributing food, particularly for food banks serving vulnerable populations in low-income urban and rural areas. The optimization approach described in this paper places a significant emphasis on social and economic considerations by fairly allocating food to food bank partner agencies while minimizing routing distance and waste. To assess the performance of the approach, this paper evaluates three distinct models, focusing on key performance measures such as effectiveness, equity and efficiency. The paper conducts a comprehensive numerical analysis using randomly generated data to gain insights into the trade-offs that arise and provide valuable managerial insights for food bank managers. Findings The results of the analysis highlight the models that perform better in terms of equity and effectiveness. Additionally, the results show that restocking the vehicles through the concept of synchronization improves the overall quantity of food allocation to partner agencies, thereby increasing accessibility. Research limitations/implications This paper contributes significantly to the literature on optimization approaches in the field of humanitarian logistics. Practical implications This study provides food bank managers with three different models, each with a multifaceted nature of trade-offs, to better address the complex challenges of food insecurity. Social implications This paper contributes significantly to social responsibility by enhancing the operational efficiency of food banks, ultimately improving their ability to serve communities in need. Originality/value To the best of the authors’ knowledge, this paper is the first to propose and analyze this new variant of vehicle routing problems in nonprofit settings.
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来源期刊
CiteScore
6.40
自引率
20.00%
发文量
20
期刊介绍: The Journal of Humanitarian Logistics and Supply Chain Management (JHLSCM) is targeted at academics and practitioners in humanitarian public and private sector organizations working on all aspects of humanitarian logistics and supply chain management. The journal promotes the exchange of knowledge, experience and new ideas between researchers and practitioners and encourages a multi-disciplinary and cross-functional approach to the resolution of problems and exploitations of opportunities within humanitarian supply chains. Contributions are encouraged from diverse disciplines (logistics, operations management, process engineering, health care, geography, management science, information technology, ethics, corporate social responsibility, disaster management, development aid, public policy) but need to have a logistics and/or supply chain focus. JHLSCM publishes state of the art research, utilizing both quantitative and qualitative approaches, in the field of humanitarian and development aid logistics and supply chain management.
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