A stochastic programming model for emergency supplies pre-positioning, transshipment and procurement in a regional healthcare coalition

Wang, Qingyi; Liu, Zhuomeng; Jiang, Peng; Luo, Li

doi:10.1016/j.seps.2022.101279

Cited by 18 publications

(5 citation statements)

References 42 publications

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“…The nodes provide supplies to DPs intending to decrease distance and casualties. The capability and application of this developed model are not seen in past and mostly related studies (Baskaya et al, 2017;Wang et al, 2021Wang et al, , 2022aWang et al, , 2022b, which indicates the innovation of this research. The importance and use of this research are that; since life is immeasurably valuable and putting a price on human life does not make sense in HL, engaged RDCs with low utilization rates must be opened, while in commercial logistics, alternative solutions could be applied.…”

Section: Discussionmentioning

confidence: 75%

“…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%

“…Wang et al (2021) designed a model that considers LT opportunities and facility location and allocation decisions under uncertainty and applied it to the Gulf Coast region of the USA, showing that LT is more cost-effective and flexible than DS. Wang et al (2022aWang et al ( , 2022b) formulated a distribution robust optimization model that integrates facility location, inventory prepositioning, vehicle routing and LT decisions for disaster relief logistics planning. They used a case study of storms in the southeastern US to demonstrate the practicality of their model and showed that it outperforms the traditional stochastic programming model.…”

Section: Lateral Transshipment In Humanitarian Logisticsmentioning

confidence: 99%

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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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Section: Discussionmentioning

confidence: 75%

Section: Literature Reviewmentioning

confidence: 99%

Section: Lateral Transshipment In Humanitarian Logisticsmentioning

confidence: 99%

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A prepositioning model for prioritized demand points considering lateral transshipment

Anvari

Boyer

2023

JHLSCM

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“…Samani et al [26] proposed a two-phase approach to solve the disruptions in the platelet supply network, considering the lateral transshipment policy between hospitals to improve the performance of the logistics network. Wang et al [27] proposed a two-stage stochastic emergency supply planning model integrated with transshipment and procurement after the disaster to minimize the expected total cost and maximize the supply shortage rate. Vanvuchelen et al [28] proposed a more advanced deep reinforcement learning method to establish transshipment policies and analyze its performance in humanitarian health that has been proved to have a positive effect.…”

Section: Lateral Transshipment Strategies For Uncertaintymentioning

confidence: 99%

A Three-Stage Stochastic Model to Improve Resilience with Lateral Transshipment in Multi-Period Emergency Logistics

Wang,

Hao,

Yuan

et al. 2024

Systems

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Driven by the growing threat of natural disasters caused by climate change, there is an urgent need to strengthen the emergency rescue logistics network. However, insufficient research has been conducted on optimizing both pre-disaster preparation and post-disaster response, resulting in lower resilience and inefficiency of emergency logistics management. To this end, this study explores the optimization of emergency rescue resource allocation and transportation network design, considering the uncertainty and multi-period nature of natural disaster rescue. By employing a lateral transshipment strategy, a three-stage stochastic programming model is established, which aims to balance economic benefits with the need for devastations, thereby enhancing the resilience of the logistics network. Numerical experiments verify the effectiveness of the proposed model with different instances and the performance of the lateral transshipment strategy by comparing it with a two-stage stochastic programming model. Sensitivity analysis is performed on the costs of constructing a depot and the penalties for unmet needs. The analysis yielded valuable insights that can be used to enhance emergency rescue operations, supply chain network design, and logistics network design. The research outcome can benefit emergency responders and logistics professionals in optimizing their operations.

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“…Fan et al (2019) analyzed a dual-channel supply chain with a shift in consumer purchase behavior and transfer of inventory, and used Markov theory to find the optimal inventory status. Wang et al (2022) proposed a two-stage stochastic emergency supply planning model, which integrated pre-disaster emergency supplies pre-positioning and post-disaster emergency supplies transshipment. Meanwhile, they considered two planning goals, that is, minimizing the expected total cost and the maximum supply shortage rate.…”

Section: Literature Reviewmentioning

confidence: 99%

A pricing and transshipment hybrid strategy for perishable product in two external scenarios for supply disruption

Sun

Gao

et al. 2023

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PurposeDifferent external supply scenarios faced by the retailers will affect their choice of strategy when supply is disrupted and becomes far less than demand, urgently. This study focuses on analyzing both demand and supply side response strategies to meet customer demand and reduce the impact of the shortage during supply disruptions.Design/methodology/approachAccording to the quantity of products that the external market can provide, the external supply scenarios were divided into sufficient-type external supply and learning-type external supply. A two-echelon perishable goods supply chain was analyzed, and three kinds of contingency strategy models for downstream retailers were investigated. First, in the sufficient external supply scenario, the optimal price and transshipment quantity to maximize retailer's profits is discussed. Second, in the scenario of learning-type external supply, this study analyzes the optimal decision in three mechanisms of the hybrid strategy and their application: price priority mechanism, quantity priority mechanism and price–quantity balance mechanism. Furthermore, the influence of penalty cost and supply on the priority orders of different mechanisms was studied.FindingsResults show that comparing the two pure strategies (pricing strategy and transshipment strategy)it was noted that the hybrid strategy produces the best results in sufficient-type external supply scenario. In the learning-type external supply scenario, a numerical study has shown the existence of three areas in case of penalty cost and supplier's capacity, and each areas has different priority orders of the three mechanisms. Under the situation of learning external supply, the retailer's optimal strategy is affected by parameters such as penalty cost and supply volume.Originality/valueThe main innovation of the work lies in the following: First; the external supply situation was divided into sufficiency type and learning type, which improves the external situation faced by retailers after the outbreak of emergencies, helps retailers understand the external situation, conforms to the actual situation and has certain practical application value. Second; in the context of learning external supply, there are three coping strategies for retailers, including: Price priority mechanism, Quantity priority mechanism and Pricing and transshipment balance mechanism. This will help retailers make strategic choices, make more scientific management decisions and improve the supply chain emergency management theory. Third; the demand side response was managed through the change of external supply during supply side recovery period and supply disruption. The proposed model enables managing and analyzing supply disruption efficiently and effectively via handling uncertainty by considering all aspects of decision-making process. The proposed model can be applied in various fields such as vegetable and fruit, fresh food, etc.

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A stochastic programming model for emergency supplies pre-positioning, transshipment and procurement in a regional healthcare coalition

Cited by 18 publications

References 42 publications

A prepositioning model for prioritized demand points considering lateral transshipment

A prepositioning model for prioritized demand points considering lateral transshipment

A Three-Stage Stochastic Model to Improve Resilience with Lateral Transshipment in Multi-Period Emergency Logistics

A pricing and transshipment hybrid strategy for perishable product in two external scenarios for supply disruption

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