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A simulation-based performance evaluation model for decision support on drone location and delivery scheduling 基于仿真的性能评估模型,为无人机定位和送货调度提供决策支持
IF 4 Q1 Business, Management and Accounting Pub Date : 2024-03-14 DOI: 10.1108/jhlscm-04-2023-0036
Zabih Ghelichi, Monica Gentili, P. Mirchandani
PurposeThis paper aims to propose a simulation-based performance evaluation model for the drone-based delivery of aid items to disaster-affected areas. The objective of the model is to perform analytical studies, evaluate the performance of drone delivery systems for humanitarian logistics and can support the decision-making on the operational design of the system – on where to locate drone take-off points and on assignment and scheduling of delivery tasks to drones.Design/methodology/approachThis simulation model captures the dynamics and variabilities of the drone-based delivery system, including demand rates, location of demand points, time-dependent parameters and possible failures of drones’ operations. An optimization model integrated with the simulation system can update the optimality of drones’ schedules and delivery assignments.FindingsAn extensive set of experiments was performed to evaluate alternative strategies to demonstrate the effectiveness for the proposed optimization/simulation system. In the first set of experiments, the authors use the simulation-based evaluation tool for a case study for Central Florida. The goal of this set of experiments is to show how the proposed system can be used for decision-making and decision-support. The second set of experiments presents a series of numerical studies for a set of randomly generated instances.Originality/valueThe goal is to develop a simulation system that can allow one to evaluate performance of drone-based delivery systems, accounting for the uncertainties through simulations of real-life drone delivery flights. The proposed simulation model captures the variations in different system parameters, including interval of updating the system after receiving new information, demand parameters: the demand rate and their spatial distribution (i.e. their locations), service time parameters: travel times, setup and loading times, payload drop-off times and repair times and drone energy level: battery’s energy is impacted and requires battery change/recharging while flying.
目的 本文旨在为无人机向受灾地区运送援助物品提出一个基于仿真的性能评估模型。该模型的目的是进行分析研究,评估无人机人道主义物流配送系统的性能,并支持系统操作设计的决策--确定无人机起飞点的位置以及分配和安排无人机的配送任务。与仿真系统集成的优化模型可以更新无人机时间表和配送任务的最优性。 研究结果进行了一系列广泛的实验来评估替代策略,以证明所建议的优化/仿真系统的有效性。在第一组实验中,作者使用基于模拟的评估工具对佛罗里达州中部进行了案例研究。这组实验的目的是展示拟议系统如何用于决策和决策支持。第二组实验针对一组随机生成的实例进行了一系列数值研究。原创性/价值目的是开发一个仿真系统,通过模拟现实生活中的无人机送货飞行,考虑不确定性因素,评估无人机送货系统的性能。所提出的仿真模型捕捉了不同系统参数的变化,包括接收到新信息后更新系统的时间间隔、需求参数:需求率及其空间分布(即其位置)、服务时间参数:旅行时间、设置和装载时间、有效载荷投放时间和维修时间,以及无人机能量水平:电池能量受到影响,需要在飞行过程中更换电池/充电。
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引用次数: 0
Analysis of mobile clinic deployments in conflict zones 对冲突地区流动诊所部署情况的分析
IF 4 Q1 Business, Management and Accounting Pub Date : 2024-02-29 DOI: 10.1108/jhlscm-07-2022-0080
Rosemarie Santa González, Marilène Cherkesly, T. Crainic, M. Rancourt
PurposeThis study aims to deepen the understanding of the challenges and implications entailed by deploying mobile clinics in conflict zones to reach populations affected by violence and cut off from health-care services.Design/methodology/approachThis research combines an integrated literature review and an instrumental case study. The literature review comprises two targeted reviews to provide insights: one on conflict zones and one on mobile clinics. The case study describes the process and challenges faced throughout a mobile clinic deployment during and after the Iraq War. The data was gathered using mixed methods over a two-year period (2017–2018).FindingsArmed conflicts directly impact the populations’ health and access to health care. Mobile clinic deployments are often used and recommended to provide health-care access to vulnerable populations cut off from health-care services. However, there is a dearth of peer-reviewed literature documenting decision support tools for mobile clinic deployments.Originality/valueThis study highlights the gaps in the literature and provides direction for future research to support the development of valuable insights and decision support tools for practitioners.
目的 本研究旨在加深对在冲突地区部署流动诊所所带来的挑战和影响的理解,以帮助受暴力影响和无法获得医疗保健服务的人群。文献综述包括两篇有针对性的综述,以提供见解:一篇关于冲突地区,另一篇关于流动诊所。案例研究描述了在伊拉克战争期间和之后部署流动诊所的整个过程和面临的挑战。数据采用混合方法收集,时间跨度为两年(2017-2018 年)。移动诊所的部署经常被用来为无法获得医疗服务的弱势群体提供医疗服务,并被推荐使用。原创性/价值本研究强调了文献中的空白,并为未来研究提供了方向,以支持为从业人员开发有价值的见解和决策支持工具。
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引用次数: 0
Integrated optimization of facility location, casualty allocation and medical staff planning for post-disaster emergency response 综合优化灾后应急响应的设施位置、伤员分配和医务人员规划
IF 4 Q1 Business, Management and Accounting Pub Date : 2023-12-26 DOI: 10.1108/jhlscm-08-2023-0072
M. Oksuz, S. I. Satoglu
Purpose Disaster management and humanitarian logistics (HT) play crucial roles in large-scale events such as earthquakes, floods, hurricanes and tsunamis. Well-organized disaster response is crucial for effectively managing medical centres, staff allocation and casualty distribution during emergencies. To address this issue, this study aims to introduce a multi-objective stochastic programming model to enhance disaster preparedness and response, focusing on the critical first 72 h after earthquakes. The purpose is to optimize the allocation of resources, temporary medical centres and medical staff to save lives effectively. Design/methodology/approach This study uses stochastic programming-based dynamic modelling and a discrete-time Markov Chain to address uncertainty. The model considers potential road and hospital damage and distance limits and introduces an a-reliability level for untreated casualties. It divides the initial 72 h into four periods to capture earthquake dynamics. Findings Using a real case study in Istanbul’s Kartal district, the model’s effectiveness is demonstrated for earthquake scenarios. Key insights include optimal medical centre locations, required capacities, necessary medical staff and casualty allocation strategies, all vital for efficient disaster response within the critical first 72 h. Originality/value This study innovates by integrating stochastic programming and dynamic modelling to tackle post-disaster medical response. The use of a Markov Chain for uncertain health conditions and focus on the immediate aftermath of earthquakes offer practical value. By optimizing resource allocation amid uncertainties, the study contributes significantly to disaster management and HT research.
目的 灾害管理和人道主义后勤(HT)在地震、洪水、飓风和海啸等大规模事件中发挥着至关重要的作用。组织良好的灾难响应对于在紧急情况下有效管理医疗中心、人员分配和伤亡分布至关重要。为解决这一问题,本研究旨在引入一个多目标随机编程模型,以加强备灾和救灾工作,重点关注地震后关键的前 72 小时。目的是优化资源、临时医疗中心和医务人员的分配,以有效拯救生命。 设计/方法/途径 本研究使用基于随机编程的动态建模和离散时间马尔可夫链来解决不确定性问题。该模型考虑了潜在的道路和医院损坏以及距离限制,并为未经治疗的伤员引入了 a 可靠性水平。该模型将最初的 72 小时分为四个时段,以捕捉地震动态。 研究结果 通过对伊斯坦布尔卡尔塔尔区的实际案例研究,证明了该模型在地震场景下的有效性。主要见解包括医疗中心的最佳位置、所需能力、必要的医务人员和伤员分配策略,所有这些对于在关键的前 72 小时内高效救灾都至关重要。 原创性/价值 这项研究创新性地将随机编程和动态建模相结合,以解决灾后医疗响应问题。针对不确定的健康状况使用马尔可夫链,并将重点放在地震发生后的第一时间,这些都具有实用价值。通过在不确定情况下优化资源分配,该研究为灾害管理和 HT 研究做出了重大贡献。
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引用次数: 0
Exploring options to leverage partnership information for designing donation calls 探索利用伙伴关系信息设计捐赠电话的备选方案
IF 4 Q1 Business, Management and Accounting Pub Date : 2023-12-11 DOI: 10.1108/jhlscm-03-2023-0017
N. Nurmala, Jelle de Vries, Sander de Leeuw
PurposeThis study aims to help understand individual donors’ preferences over different designs of humanitarian–business partnerships in managing humanitarian operations and to help understand if donors’ preferences align with their actual donation behavior.Design/methodology/approachChoice-based conjoint analysis was used to understand donation preferences for partnership designs, and a donation experiment was performed using real money to understand the alignment of donors’ preferences with actual donation behavior.FindingsThe results show that partnering with the business sector can be a valuable asset for humanitarian organizations in attracting individual donors if these partnerships are managed well in terms of partnership strategy, partnership history and partnership report and disclosure. In particular, the study finds that the donation of services and products from businesses corporations to humanitarian organizations are preferable to individual donors, rather than cash. Furthermore, donors’ preferences are not necessarily aligned with actual donation behavior.Practical implicationsThe results highlight the importance of presenting objective data on projects to individual donors. The results also show that donors value the provision of services and products by business corporations to humanitarian operations.Originality/valuePartnerships between humanitarian organizations and business corporations are important for the success of humanitarian operations. However, little is known about which partnership designs are most preferable to individual donors and have the biggest chance of being supported financially.
本研究旨在帮助了解个人捐赠者在人道主义行动管理中对不同人道主义商业伙伴关系设计的偏好,并帮助了解捐赠者的偏好是否与他们的实际捐赠行为一致。采用基于选择的联合分析来了解合作伙伴关系设计的捐赠偏好,并通过使用真钱进行捐赠实验来了解捐赠者偏好与实际捐赠行为的一致性。研究结果表明,如果在伙伴关系战略、伙伴关系历史以及伙伴关系报告和披露方面管理得当,与商业部门的伙伴关系可以成为人道主义组织吸引个人捐助者的宝贵资产。该研究特别发现,企业和公司向人道主义组织捐赠服务和产品比个人捐赠更可取,而不是现金捐赠。此外,捐赠者的偏好并不一定与实际捐赠行为一致。实际意义研究结果强调了向个人捐助者提供项目客观数据的重要性。调查结果还表明,捐助者重视商业公司为人道主义行动提供的服务和产品。独创性/价值人道主义组织与商业公司之间的伙伴关系对人道主义行动的成功至关重要。然而,很少有人知道哪种伙伴关系设计最受个人捐助者欢迎,并且最有可能获得财政支持。
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引用次数: 0
A multiobjective mathematical model for a humanitarian logistics multimodal transportation problem 人道主义物流多式联运问题的多目标数学模型
Q1 Business, Management and Accounting Pub Date : 2023-10-20 DOI: 10.1108/jhlscm-01-2023-0004
Marisol S. Romero-Mancilla, Kenneth E. Hernandez-Ruiz, Diana L. Huerta-Muñoz
Purpose The purpose of this paper is to introduce a three-echelon multimodal transportation problem applied to a humanitarian logistic case study that occurred in Mexico. Design/methodology/approach This study develops a methodology combining a transshipment problem and an adaptation of the multidepot heterogeneous fleet vehicle routing problem to construct a mathematical model that incorporates the use of land-based vehicles and drones. The model was applied to the case study of the Earthquake on September 19, 2017, in Mexico, using the Gurobi optimization solver. Findings The results ratified the relevance of the study, showing an inverse relationship between transportation costs and delivery time; on the flip side, the model performed in a shorter CPU time with medium and small instances than with large instances. Research limitations/implications While the size of the instances limits the use of the model for big-scale problems, this approach manages to provide a good representation of a transportation network during a natural disaster using drones in the last-mile deliveries. Originality/value The present study contributes to a model that combines a vehicle routing problem with transshipment, multiple depots and a heterogeneous fleet including land-based vehicles and drones. There are multiple models present in the literature for these types of problems that incorporate the use of these transportation modes; however, to the best of the authors’ knowledge, there are still no proposals similar to this study.
目的本文的目的是介绍一个三梯队多式联运问题适用于人道主义物流案例研究,发生在墨西哥。设计/方法/方法本研究开发了一种方法,结合转运问题和多仓库异构车队车辆路线问题的适应,构建了一个包含陆基车辆和无人机使用的数学模型。将该模型应用于2017年9月19日墨西哥地震的案例研究中,采用了Gurobi优化求解器。结果表明,运输成本与交货时间呈负相关关系;另一方面,与使用大型实例相比,使用中型和小型实例的模型在更短的CPU时间内执行。虽然实例的大小限制了模型在大规模问题中的使用,但这种方法设法在自然灾害期间使用无人机进行最后一英里的交付,从而很好地表示了运输网络。原创性/价值本研究建立了一个模型,该模型结合了转运、多个仓库和包括陆基车辆和无人机在内的异构车队的车辆路线问题。文献中存在多种模型来解决这些类型的问题,包括使用这些运输方式;然而,据作者所知,目前还没有类似这项研究的建议。
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引用次数: 0
Humanitarian response by grassroots associations during a military conflict 军事冲突中基层协会的人道主义反应
Q1 Business, Management and Accounting Pub Date : 2023-10-06 DOI: 10.1108/jhlscm-06-2022-0075
Renata Konrad, Solomiya Sorokotyaha, Daniel Walker
Purpose Conflict and violence are the main drivers of globally escalating humanitarian needs. Local grassroots initiatives are pivotal in distributing humanitarian supplies in the acute response phase until more established humanitarian aid organizations can enter. Nevertheless, scant research exists regarding the role of grassroots associations in providing humanitarian assistance during a military conflict. The purpose of this paper is to understand the role of grassroots associations and identify important themes for effective operations. Design/methodology/approach This paper adopts a case-study approach of three Ukrainian grassroots associations that began operating in the immediate days of the full-scale invasion of Ukraine. The findings are based on analyzing primary sources, including interviews with Ukrainian volunteers, and are supported by secondary sources. Findings Grassroots associations have local contacts and a contextual understanding of population needs and can respond more rapidly and effectively than large intergovernmental agencies. Four critical themes regarding the operations of grassroots associations emerged: information management, inventory management, coordination and performance measurement. Grassroots humanitarian response operations during conflict are challenged by personal security risks, the unpredictability of unsolicited supplies, emerging volunteer roles, dynamic transportation routes and shifting demands. Originality/value Grassroots responses are central to humanitarian responses during the acute phase of a military conflict. By examining the operations of grassroots associations in the early months of the 2022 war in Ukraine, the authors provide a unique perspective on humanitarian logistics. Nonetheless, more inclusive models of humanitarian responses are needed to harness the capacities and resilience of grassroots operations in practice.
冲突和暴力是全球人道主义需求不断升级的主要驱动因素。在紧急反应阶段,在更多成熟的人道主义援助组织进入之前,地方基层倡议在分发人道主义物资方面发挥着关键作用。然而,关于基层协会在军事冲突中提供人道主义援助的作用的研究很少。本文的目的是了解基层协会的作用,并确定有效运作的重要主题。设计/方法/方法本文采用了三个乌克兰基层协会的案例研究方法,这些协会在全面入侵乌克兰的几天内开始运作。调查结果基于对第一手资料的分析,包括对乌克兰志愿者的采访,并得到第二手资料的支持。与大型政府间机构相比,基层协会与当地有联系,了解人口需求,能够更迅速有效地作出反应。关于基层协会运作的四个关键主题出现了:信息管理、库存管理、协调和绩效评估。冲突期间的基层人道救援行动面临着人身安全风险、主动提供的物资的不可预测性、新出现的志愿者角色、动态的运输路线和不断变化的需求等挑战。在军事冲突的激烈阶段,基层反应是人道主义反应的核心。通过研究基层协会在2022年乌克兰战争最初几个月的运作,作者提供了一个独特的人道主义后勤视角。然而,需要更具包容性的人道主义应对模式,以便在实践中利用基层行动的能力和复原力。
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引用次数: 0
Mitigating risks and overcoming logistics challenges in humanitarian deployment to conflict zones: evidence from the DRC and CAR 刚果民主共和国和中非共和国提供的证据
IF 4 Q1 Business, Management and Accounting Pub Date : 2023-09-08 DOI: 10.1108/jhlscm-04-2023-0031
Youssef Malhouni, C. Mabrouki
PurposeThe purpose of this study is to analyze the challenges encountered by international nongovernmental organizations (INGOs) operating in armed conflicts within the Democratic Republic of the Congo (DRC) and the Central African Republic (CAR). Through a 20-month fieldwork analysis, this research maps logistical risks and highlights key obstacles on the ground for successful humanitarian deployments in dynamically changing and complex environments. The study brings together academics and practitioners, providing practical and concrete recommendations for nongovernmental organizations (NGOs) to focus on in the conflict zones studied.Design/methodology/approachUsing a mixed-methods approach that combines qualitative and quantitative methods, this research provides valuable insights into the challenges faced by INGOs in conflict zones. After collecting data from the field, including interviews with key stakeholders and on-the-ground observations, the data analysis uses software tools such as Text Analysis Markup System analyzer and Macbeth. By adhering to ethical principles and incorporating a reflexive analysis, the study sheds light on the multidimensional nature of successful humanitarian deployments.FindingsThe primary risk in all armed conflict zones, including the DRC and CAR, is insecurity. However, to achieve a successful humanitarian deployment in such contexts, a multidimensional approach is required. This involves first securing the acceptance of local communities and conflict parties, which can be achieved through a deep understanding of both political and customary structures, with a focus on respecting key engagement leaders. Sustainability also plays a crucial role, and NGOs must maintain a secure stock of energy and provide greater initiative for on-the-ground managers to meet the expressed needs of beneficiary populations and involve them from the planning stage onwards. Finally, effective communication, cooperation and collaboration with United Nations Office for the Coordination of Humanitarian Affairs are essential to overcome procurement, technical and security risks, particularly during the initial deployment phases.Originality/valueThis study provides an illustration of the uncommon practice of conducting collaborative research in humanitarian settings amidst two neighboring areas of armed conflict. The authors identified 268 common risk factors across eight categories during five deployment phases. To analyze these risks based on criticality and NGO responsiveness, the authors used a multicriteria method. This approach allowed the authors to validate unanimous judgments, resulting in valuable insights and concrete recommendations.
目的本研究的目的是分析国际非政府组织在刚果民主共和国和中非共和国武装冲突中遇到的挑战。通过20个月的实地调查分析,这项研究绘制了后勤风险图,并强调了在动态变化和复杂环境中成功部署人道主义人员的关键障碍。该研究汇集了学者和从业者,为非政府组织在所研究的冲突地区提供了切实可行的具体建议。设计/方法论/方法本研究采用了定性和定量相结合的混合方法,为国际非政府组织在冲突地区面临的挑战提供了有价值的见解。在收集了现场数据,包括对关键利益相关者的采访和实地观察后,数据分析使用了文本分析标记系统分析器和麦克白等软件工具。通过坚持伦理原则并结合反射性分析,该研究揭示了成功的人道主义部署的多层面性质。发现包括刚果民主共和国和中非共和国在内的所有武装冲突地区的主要风险是不安全。然而,要在这种情况下成功地进行人道主义部署,就需要采取多层面的办法。这首先涉及确保当地社区和冲突各方的接受,这可以通过深入了解政治和习惯结构来实现,重点是尊重关键的参与领导人。可持续性也发挥着至关重要的作用,非政府组织必须保持安全的能源储备,并为实地管理人员提供更大的主动性,以满足受益人群的明确需求,并从规划阶段开始让他们参与进来。最后,与联合国人道主义事务协调厅的有效沟通、合作与协作对于克服采购、技术和安全风险至关重要,特别是在最初部署阶段。原创性/价值这项研究说明了在两个相邻的武装冲突地区的人道主义环境中进行合作研究的罕见做法。作者在五个部署阶段确定了八类268个常见风险因素。为了根据关键性和非政府组织的反应性来分析这些风险,作者使用了一种多标准方法。这种方法使作者能够验证一致的判断,从而产生有价值的见解和具体的建议。
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引用次数: 0
Supply chain solutions for essential medicine availability during COVID-19 pandemic COVID-19大流行期间基本药物供应的供应链解决方案
IF 4 Q1 Business, Management and Accounting Pub Date : 2023-08-21 DOI: 10.1108/jhlscm-05-2022-0056
J. Onyango
PurposeThis study aims to document students’ supply chain solutions developed through the internship hackathon program. The study profiled innovative solutions developed by university students in Kenya to solve health supply chain logistics challenges during and beyond COVID-19. This is done by exploring students’ experience in developing sustainable logistics and supply chain management capacity-building programs in a low-middle-income country (LMIC).Design/methodology/approachThis study used a qualitative approach to explore the experiences and perceptions of students and mentors who participated in a hackathon program. The study followed a cross-sectional descriptive survey design, collecting data from the participants through online questionnaires. The data were analyzed and presented using thematic analysis and narrative techniques.FindingsFindings provide preliminary evidence for narrowing the gap between theory and practice through a hackathon internship blended with a mentorship program. Assessment of this program provides evidence for developing solutions toward ensuring the availability of essential medicine in LMICs during a pandemic such as COVID-19 by students. The profiled solutions demonstrate a broader perspective of innovative solutions of university students, mentors and potential opportunities for a triple helix approach to innovation for health supply chain system strengthening.Research limitations/implicationsThis original study provides evidence for advancing contribution to developing innovative solutions through partnerships between investors, universities and industry practitioners interested in mentoring students in the health-care supply chain during COVID-19 in LMICs. Specifically, contingency factors that affect the implementation of innovative programs during and beyond global pandemics such as COVID-19 by students’ innovators are identified, and implications for policy action are discussed based on the praxis of sensemaking.Practical implicationsThis study examines a novel approach that combines internship, mentorship and hackathon projects for logistics and supply chain students in LMICs. The approach aims to bridge the gap between theory and practice and to create innovative solutions for essential medicines during and after COVID-19. The study urges more resources for supporting such programs, as they benefit both academia and industry. The study also argues that hackathon internship programs can help the logistics and supply chain industry adapt to the post-pandemic era. The study offers insights for investors, universities and practitioners in the health-care industry.Originality/valueThis study shows how to develop innovative solutions for the health-care supply chain during COVID-19 in an LMIC through partnerships between investors, universities and industry practitioners who mentor students. The study identifies the contingency factors that influence the success of such programs during
目的本研究旨在记录学生通过实习黑客马拉松计划开发的供应链解决方案。该研究介绍了肯尼亚大学生为解决COVID-19期间和之后的卫生供应链物流挑战而开发的创新解决方案。这是通过探索学生在中低收入国家(LMIC)发展可持续物流和供应链管理能力建设项目的经验来完成的。设计/方法/方法本研究采用定性方法来探讨参加黑客马拉松项目的学生和导师的经验和看法。该研究采用横断面描述性调查设计,通过在线问卷收集参与者的数据。使用主题分析和叙事技巧对数据进行分析和呈现。研究结果为通过黑客马拉松实习与指导计划相结合来缩小理论与实践之间的差距提供了初步证据。对该项目的评估为制定解决方案提供了证据,以确保中低收入国家的学生在COVID-19等大流行期间获得基本药物。概述的解决方案展示了大学生、导师的创新解决方案的更广阔视角,以及加强卫生供应链系统创新的三重螺旋方法的潜在机会。研究局限性/意义本原始研究为通过投资者、大学和有兴趣在中低收入国家COVID-19期间指导医疗保健供应链中的学生的行业从业者之间的伙伴关系促进开发创新解决方案提供了证据。具体而言,本文确定了影响学生创新者在2019冠状病毒病等全球大流行期间和之后实施创新项目的应急因素,并基于意义构建实践讨论了对政策行动的影响。该方法旨在弥合理论与实践之间的差距,并在COVID-19期间和之后为基本药物制定创新解决方案。该研究敦促更多的资源来支持这些项目,因为它们对学术界和工业界都有利。该研究还认为,黑客马拉松实习项目可以帮助物流和供应链行业适应后大流行时代。该研究为医疗保健行业的投资者、大学和从业者提供了见解。独创性/价值本研究展示了如何通过投资者、大学和指导学生的行业从业者之间的合作,为中低收入国家的2019冠状病毒病疫情期间的医疗保健供应链开发创新解决方案。该研究确定了在COVID-19等全球大流行期间和之后影响此类项目成功的应急因素,并基于学生创新者的意义构建实践讨论了政策影响。
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引用次数: 1
A prepositioning model for prioritized demand points considering lateral transshipment 考虑横向转运的优先需求点的预定位模型
IF 4 Q1 Business, Management and Accounting Pub Date : 2023-07-31 DOI: 10.1108/jhlscm-01-2023-0005
Mohsen Anvari, Alireza Anvari, Omid Boyer
PurposeThis paper aims to examine the integration of lateral transshipment and road vulnerability into the humanitarian relief chain in light of affected area priority to address equitable distribution and assess the impact of various parameters on the total average inflated distance traveled per relief item.Design/methodology/approachAfter identifying comprehensive critical criteria and subcriteria, a hybrid multi-criteria decision-making framework was applied to obtain the demand points’ weight and ranking in a real-life earthquake scenario. Direct shipment and lateral transshipment models were then presented and compared. The developed mathematical models are formulated as mixed-integer programming models, considering facility location, inventory prepositioning, road vulnerability and quantity of lateral transshipment.FindingsThe study found that the use of prioritization criteria and subcriteria, in conjunction with lateral transshipment and road vulnerability, resulted in a more equitable distribution of relief items by reducing the total average inflated distance traveled per relief item.Research limitations/implicationsTo the best of the authors’ knowledge, this study is one of the first research on equity in humanitarian response through prioritization of demand points. It also bridges the gap between two areas that are typically treated separately: multi-criteria decision-making and humanitarian logistics.Practical implicationsThis is the first scholarly work in Shiraz focused on the equitable distribution system by prioritization of demand points and assigning relief items to them after the occurrence of a medium-scale earthquake scenario considering lateral transshipment in the upper echelon.Originality/valueThe paper clarifies how to prioritize demand points to promote equity in humanitarian logistics when the authors have faced multiple factors (i.e. location of relief distribution centers, inventory level, distance, lateral transshipment and road vulnerability) simultaneously.
本文旨在根据受影响地区的优先顺序,研究将横向转运和道路脆弱性纳入人道主义救济链,以解决公平分配问题,并评估各种参数对每个救济项目的总平均膨胀距离的影响。设计/方法/方法在确定综合关键标准和子标准之后,应用混合多标准决策框架来获得真实地震场景中需求点的权重和排名。然后提出并比较了直接装运和横向转运模型。考虑设施选址、库存预置、道路易损性和横向转运数量等因素,建立了混合整数规划模型。研究发现,优先标准和次级标准的使用,加上横向转运和道路易损性,减少了每件救济物品的总平均膨胀距离,从而使救济物品的分配更加公平。据作者所知,本研究是通过需求点优先排序对人道主义反应公平性进行研究的首批研究之一。它还弥合了通常单独处理的两个领域之间的差距:多标准决策和人道主义后勤。实际意义:这是设拉子地区第一个专注于公平分配系统的学术研究,在中等规模地震发生后,考虑到上层的横向转运,对需求点进行优先排序,并向他们分配救援物资。本文阐明了当作者同时面临多个因素(即救济分发中心的位置、库存水平、距离、横向转运和道路脆弱性)时,如何优先考虑需求点以促进人道主义物流的公平性。
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引用次数: 0
Mobile ultrasound vascular assessment (MUVA) for remote and conflict areas 移动超声血管评估(MUVA)用于偏远和冲突地区
IF 4 Q1 Business, Management and Accounting Pub Date : 2023-07-11 DOI: 10.1108/jhlscm-04-2022-0047
Oscar Y. Moreno Rocha, P. Pinto, Maria C. Consuegra, S. Cifuentes, J. Ulloa
PurposeThis study aims to facilitate access to vascular disease screening for low-income individuals living in remote and conflict areas based on the results of a pilot trial in Colombia. Also, to increase the amount of diagnosis training of vascular surgery (VS) in civilians.Design/methodology/approachThe operation method includes five stages: strategy development and adjustment; translation of the strategy into a real-world setting; operation logistics planning; strategy analysis and adoption. The operation plan worked efficiently in this study’s sample. It demonstrated high sensibility, efficiency and safety in a real-world setting.FindingsThe authors developed and implemented a flow model operating plan for screening vascular pathologies in low-income patients pro bono without proper access to vascular health care. A total of 140 patients from rural areas in Colombia were recruited to a controlled screening session where they underwent serial noninvasive ultrasound assessments conducted by health professionals of different training stages in VS.Research limitations/implicationsThe plan was designed to be implemented in remote, conflict areas with limited access to VS care. Vascular injuries are critically important and common among civilians and military forces in regions with active armed conflicts. As this strategy can be modified and adapted to different medical specialties and geographic areas, the authors recommend checking the related legislation and legal aspects of the intended areas where we will implement this tool.Practical implicationsDifferent sub-specialties can implement the described method to be translated into significant areas of medicine, as the authors can adjust the deployment and execution for the assessment in peripheral areas, conflict zones and other public health crises that require a faster response. This is necessary, as the amount of training to which VS trainees are exposed is low. A simulated exercise offers a novel opportunity to enhance their current diagnostic skills using ultrasound in a controlled environment.Social implicationsEvaluating and assessing patients with limited access to vascular medicine and other specialties can decrease the burden of vascular disease and related complications and increase the number of treatments available for remote communities.Originality/valueIt is essential to assess the most significant number of patients and treat them according to their triage designation. This management is similar to assessment in remote areas without access to a proper VS consult. The authors were able to determine, classify and redirect to therapeutic interventions the patients with positive findings in remote areas with a fast deployment methodology in VS.Plain language summaryAccess to health care is limited due to multiple barriers and the assessment and response, especially in peripheral areas that require a highly skilled team of medical professionals and relate
目的:本研究旨在根据哥伦比亚一项试点试验的结果,促进生活在偏远和冲突地区的低收入个人获得血管疾病筛查。增加平民血管外科(VS)诊断培训的数量。设计/方法论/方法操作方法包括五个阶段:战略制定和调整;将战略转化为现实环境;营运物流规划;战略分析和采用。该操作方案在本研究的样本中有效地发挥了作用。在现实环境中,它表现出了高灵敏度、高效率和安全性。研究结果:作者开发并实施了一种流动模型操作计划,用于在没有适当获得血管保健的低收入患者中无偿筛查血管病变。来自哥伦比亚农村地区的140名患者被招募到一个控制筛查阶段,在那里他们接受了一系列无创超声评估,由不同培训阶段的vsv卫生专业人员进行。研究局限性/意义该计划旨在在偏远冲突地区实施,这些地区获得vsv护理的机会有限。在武装冲突频繁的地区,血管损伤在平民和军队中极为重要和常见。由于这一战略可以修改和适应不同的医学专业和地理区域,作者建议检查我们将实施这一工具的预定区域的相关立法和法律方面。实践意义不同的子专业可以将所描述的方法转化为重要的医学领域,因为作者可以调整外围地区、冲突地区和其他需要更快反应的公共卫生危机的评估部署和执行。这是必要的,因为VS受训者接触的训练量很低。模拟演习提供了一个新的机会,以提高他们目前的诊断技能,在一个受控的环境中使用超声。社会意义评估和评估获得血管医学和其他专业的机会有限的患者可以减少血管疾病和相关并发症的负担,并增加偏远社区可用的治疗方法的数量。独创性/价值评估最重要的患者数量并根据他们的分诊分类进行治疗是至关重要的。这种管理类似于无法获得适当的VS咨询的偏远地区的评估。作者能够通过快速部署方法确定、分类并重新定向到治疗干预措施,在偏远地区发现阳性结果的患者。由于多重障碍和评估和反应,获得医疗保健是有限的,特别是在需要高技能医疗专业人员团队和相关设备的周边地区。这组作者在哥伦比亚农村地区的偏远和冲突地区测试了一种新的移动评估工具。
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引用次数: 0
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Journal of Humanitarian Logistics and Supply Chain Management
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