Designing a Humanitarian Supply Chain for Pre and Post Disaster Planning with Transshipment and Considering Perishability of Products

Haghgoo, Faeze; Navaei, Ali; Aghsami, Amir; Jolai, Fariborz; Abraham, Ajith

doi:10.1007/978-3-030-96308-8_56

Cited by 3 publications

(3 citation statements)

References 14 publications

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“…Safeer et al [35] employed a classification-based review methodology to identify various cost functions and constraints for primary emergency operations in logistics. Haghgoo et al [36] addressed both pre-and post-crisis stages in the humanitarian supply chain considering perishability.…”

Section: Transportationmentioning

confidence: 99%

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Designing the Distribution Network of Essential Items in the Critical Conditions of Earthquakes and COVID-19 Simultaneously

Abbasi,

Vlachos,

Rekabi

et al. 2023

Sustainability

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Current societies must make the necessary plans for effective responses and to reduce the destructive effects of disasters. For this reason, this research has developed a mathematical programming model under uncertainty for earthquake relief and response during COVID-19. In the presented model, the possibility of facility failure is considered according to the intensity of the earthquake and COVID-19 to increase reliability. The simultaneous occurrence of these disasters presents unique challenges in ensuring the timely delivery of essential supplies to affected regions. Distribution centers (DCs) are considered to be of two types: the first type is local DCs, which use public centers and are close to accident points. These types of centers are prone to failure because they use public facilities. Another type is the reliable DCs built outside the disrupted area, which have a very low probability of loss due to spending more money to build them. In addition, to consider the reliability capabilities, the new model has tried to provide a complete model for transportation planning by considering the multi-trip mode of vehicles. Moreover, this model considers distance restriction at the demand point for the first time because of COVID-19 during the earthquake. The proposed network design aims to offer effective solutions in promptly delivering essential items to affected areas, thereby enhancing disaster management strategies and minimizing the impact of these crises on vulnerable populations. Uncertainty is presented using the probability approach based on the modeling scenario and a case study from the city of Istanbul to illustrate the performance of the suggested model. Finally, the suggested mode is solved with an Lp-metric and goal programming (GP) approach. The results show that in this case, the proposed model shows that effective and efficient aid delivery is possible in terms of time and cost. Therefore, it can help crisis managers respond by providing the required budget and appropriate logistics planning.

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Section: Transportationmentioning

confidence: 99%

“…The metric distance is used in Lp-metrics to compute the distance between the current and ideal outcomes. Xu and Cao [51] proposed Equation (36) to solve "the more, the better" difficulties using an anti-ideal method.…”

Section: Lp-metrics Approachmentioning

confidence: 99%

Designing the Distribution Network of Essential Items in the Critical Conditions of Earthquakes and COVID-19 Simultaneously

Abbasi,

Vlachos,

Rekabi

et al. 2023

Sustainability

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show abstract

“…In prepositioning research, the primary goals often involve reducing the expenses associated with establishing relief centers and transportation (Galindo and Batta, 2013; Khayal et al , 2015; Lin et al , 2012), as well as decreasing unsatisfied demand and overall costs (Rawls and Turnquist, 2010, 2011, 2012; Moreno et al , 2018; Haghgoo et al , 2022; Wang et al , 2022a, 2022b). Other objectives include reducing commodity procurement costs and average response time while increasing responsiveness (Duran et al , 2011; Klibi et al , 2018), minimizing the total cost, time and distance traveled (Abazari et al , 2021), reducing maximum response time and unmet demand (Afshar and Haghani, 2012) and decreasing unsatisfied demand and total cost while increasing responsiveness (Rezaei-Malek and Tavakkoli-Moghaddam, 2014: Rezaei-Malek et al , 2016a, 2016b; Bozorgi-Amiri and Khorsi, 2016).…”

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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Production-Routing-Inventory in Post-Disaster Conditions: a Multi-Objective Mathematical Model and Two Algorithms

Zargary

Samouei²

2022

Process Integr Optim Sustain

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Designing a Humanitarian Supply Chain for Pre and Post Disaster Planning with Transshipment and Considering Perishability of Products

Cited by 3 publications

References 14 publications

Designing the Distribution Network of Essential Items in the Critical Conditions of Earthquakes and COVID-19 Simultaneously

Designing the Distribution Network of Essential Items in the Critical Conditions of Earthquakes and COVID-19 Simultaneously

A prepositioning model for prioritized demand points considering lateral transshipment

Production-Routing-Inventory in Post-Disaster Conditions: a Multi-Objective Mathematical Model and Two Algorithms

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