The efficiency, equity and effectiveness of location strategies in humanitarian logistics: A robust chance-constrained approach

Liu, Kanglin; Zhang, Hengliang; Zhang, Zhihai

doi:10.1016/j.tre.2021.102521

Cited by 36 publications

(6 citation statements)

References 85 publications

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“…Since the chance limits cannot be solved, a conical and linear approximation has been suggested instead. This approximation has been solved using Benders decomposition [23]. Demand prediction for humanitarian logistics is a challenging issue with urgent practical repercussions.…”

Section: Literature Reviewmentioning

confidence: 99%

Efficient Humanitarian Logistics: Multi-Commodity Location–Inventory Model Incorporating Demand Probability and Consumption Coefficients

Delshad,

Chobar,

Ghasemi

et al. 2024

Logistics

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Background: A logistics network plan could be a major key issue due to its effect on supply chain effectiveness and responsiveness. This study aims to investigate the inventory location in the humanitarian logistics response stage using a three-level logistics network to integrate location–allocation problems such as warehouse location and shelter allocation to each facility, and then determine the inventory level in each warehouse. Methods: In this research, the center and its distribution, as well as the reduction in service-level costs due to inventory deficit, have been considered to increase the level of shelter services. In order to investigate the network, in this study, bi-objective mixed-integer linear programming (BOMILP) is presented. Results: The first objective is to reduce location costs and inventory costs that take into account probable demand, consumption factors, and transportation costs, and the second objective is to raise the level of services offered to victims in the model. The software programs GAMS win32, 25.1.2 and MATLAB have been utilized with numerical examples in various dimensions. Conclusions: To maximize the efficiency and quality of the service, first, the model was numerically solved, and then the location where the most commodities could be transported at the lowest possible cost was identified.

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Section: Literature Reviewmentioning

confidence: 99%

Efficient Humanitarian Logistics: Multi-Commodity Location–Inventory Model Incorporating Demand Probability and Consumption Coefficients

Delshad,

Chobar,

Ghasemi

et al. 2024

Logistics

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show abstract

“…Locating the relief warehouses and determining the quantity of prepositioned relief items are the two main decisions of the relief prepositioning problem in the HL (Balcik and Beamon, 2008). Their major decisions determine the classification of papers in this category: location optimization, allocation optimization and joint location–allocation optimization (Liu et al , 2021). The goal of location optimization papers is to determine the best locations for prepositioned facilities (An et al , 2015; Hong et al , 2015; Charles et al , 2016; Liu et al , 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Their major decisions determine the classification of papers in this category: location optimization, allocation optimization and joint location–allocation optimization (Liu et al , 2021). The goal of location optimization papers is to determine the best locations for prepositioned facilities (An et al , 2015; Hong et al , 2015; Charles et al , 2016; Liu et al , 2021). As opposed to demands or evacuees, the inventory of relief supplies that are stored in fixed locations is the main concern of allocation papers (Dufour et al , 2018; Ulusan and Ergun, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

A prepositioning model for prioritized demand points considering lateral transshipment

Anvari

Boyer

2023

JHLSCM

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Purpose This 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/approach After 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. Findings The 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/implications To 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 implications This 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/value The 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.

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“…They define equity such that each affected group receives its fair share of the total effect. Studies in this context consider application areas such as the location of Emergency Medical Service (EMS) centers [16] , [74] , [75] , [76] , [77] and other public facilities [78] , [79] to ensure equitable coverage of the service area, and the design of disaster relief networks for equitable service [69] , [80] , [81] , [82] . Our paper differs from these studies as we do not consider the strategic problem of facility location and focus on the tactical problem of allocating resources to existing capacitated facilities to achieve equitable travel times by beneficiaries.…”

Section: Literature Reviewmentioning

confidence: 99%

Equitable and effective vaccine access considering vaccine hesitancy and capacity constraints

Orgut¹,

Freeman²,

Lewis

et al. 2023

Omega

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The efficiency, equity and effectiveness of location strategies in humanitarian logistics: A robust chance-constrained approach

Cited by 36 publications

References 85 publications

Efficient Humanitarian Logistics: Multi-Commodity Location–Inventory Model Incorporating Demand Probability and Consumption Coefficients

Efficient Humanitarian Logistics: Multi-Commodity Location–Inventory Model Incorporating Demand Probability and Consumption Coefficients

A prepositioning model for prioritized demand points considering lateral transshipment

Equitable and effective vaccine access considering vaccine hesitancy and capacity constraints

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