Supply chain planning for hurricane response with wind speed information updates

Lodree, Emmett J.; Taskin, Selda

doi:10.1016/j.cor.2007.09.003

Cited by 68 publications

(33 citation statements)

References 36 publications

(52 reference statements)

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“…Among the papers discussed in Galindo and Batta (2012), the ones that are most closely related to the model presented in this paper are the ones given by Lodree andTaskin (2009), andLodree (2011). In Lodree and Taskin (2009), the authors consider the problem of prepositioning supplies in preparation for a hurricane from the perspective of a single private sector supplier that experiences demand peaks from a single retailer upon the occurrence of a hurricane. In their problem, the supplier uses a hurricane's forecast in order to design an inventory policy for its products.…”

Section: Literature Reviewmentioning

confidence: 97%

“…A major drawback from the papers given by Lodree and Taskin (2009), and Taskin and Lodree (2011) is that they assume statistical independence of sequential forecast advisories. This assumption seems unrealistic and would need to be verified in order to guarantee the applicability of their study under real-life settings.…”

Section: Literature Reviewmentioning

confidence: 99%

“…On the other hand, waiting too long for initiating the prepositioning can also be undesirable and it could even leave us without enough time for applying the prepositioning plan. Moreover, logistic costs are likely to increase as the hurricane approaches because of potential inefficiencies and complications (Lodree and Taskin, 2009). For instance, it is conceivable that we need to make use of overtime hours or more expensive transportation modes in order to promptly locate the supplies where required.…”

Section: Introductionmentioning

confidence: 99%

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Forecast-driven model for prepositioning supplies in preparation for a foreseen hurricane

Pacheco

Batta

2016

Journal of the Operational Research Society

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In this paper, we present a forecast-driven dynamic model for prepositioning relief items in preparation for a foreseen hurricane. Our model uses forecast advisories issued by the National Hurricane Center (NHC), which are issued every 6 h. Every time a new advisory is issued with updated information, our model determines the amount and location of units to be prepositioned and it also re-prepositions already prepositioned units. The model also determines the best time for starting the prepositioning activities. Our approach uses a combination of Decision Theory and stochastic programming. The outcomes of our model are presented in a way that could be easily understood by humanitarian practitioners who are ultimately the ones who would use and apply our model.

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Section: Literature Reviewmentioning

confidence: 97%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Forecast-driven model for prepositioning supplies in preparation for a foreseen hurricane

Pacheco

Batta

2016

Journal of the Operational Research Society

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“…Lodree and Taskin [10] formulated the problem as an optimal stopping time problem to obtain the optimal quantity and the timing of the inventory decisions. This paper assumed random wind speed with a known prior distribution with some unknown parameters, which were updated through Bayesian updates.…”

mentioning

confidence: 99%

“…The paper [10] focused only on pre-disaster operations, and considered a stochastic inventory pre-positioning problem for relief commodities. Lodree and Taskin [10] formulated the problem as an optimal stopping time problem to obtain the optimal quantity and the timing of the inventory decisions.…”

mentioning

confidence: 99%

Stochastic Dual Dynamic Programming Solution of a Short-Term Disaster Management Problem

Angün

2015

Uncertainty Management in Simulation-Optimization of Complex Systems

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Every year, more than 500 disasters are estimated to strike our planet, causing the deaths of around 75,000 people, and impacting more than 200 million others [1]. To decrease the number of deaths and disaster-affected people, the design of an efficient and effective emergency logistics system is vital. The inefficiency in such a system in Haiti after the 2010 earthquake had the following results: Various on-field journalists [2,3] reported that relief efforts were stalling in the logistics network and that, therefore, much aid remained undelivered. This caused more than 3 million affected people, 200,000 deaths, and more than one million wounded.Disaster operations represent the set of all activities performed before, during, and after a disaster in order to diminish its impacts. Traditionally, the life cycle of disaster operations is divided into four stages, namely risk mitigation, preparedness, response, and recovery. The risk mitigation operations are performed before the disaster occurs, and they aim at reducing vulnerability to the disaster impacts such as injuries, and loss of life and property. The preparedness operations involve those activities performed before the disaster occurs in order to accomplish a more efficient response. The response operations are performed upon the occurrence of the disaster, and they address immediate threats presented by the disaster, including saving lives, meeting humanitarian needs (food, shelter, clothing, public health and safety), evacuating people from the disaster affected area, etc. Finally, recovery operations are performed after a disaster occurs, and they refer to short-term or

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Strategic and Operational Prepositioning in Case of Seasonal Natural Disasters: A Perspective

Apte

2011

Wiley Encyclopedia of Operations Research and Management Science

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This article discusses prepositioning as a strategic and operational process and addresses shortcomings in current predisaster planning for humanitarian logistics in case of seasonal natural disaster. A distinction is made between strategic and operational approaches. Strategic prepositioning occurs long before the disaster strikes, involves the acquisition or expansion of assets for increasing capacity, and establishes contractual agreements and protocols for collaboration. Operational prepositioning deals with the issues of inventory levels, the location of warehouses, and the functionality of disaster centers for the humanitarian operations that take place when a disaster is imminent or has already struck. The examples described in the article illustrate the development of optimization models and solution processes that can be used to analyze and address similar disaster situations.

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Supply chain planning for hurricane response with wind speed information updates

Cited by 68 publications

References 36 publications

Forecast-driven model for prepositioning supplies in preparation for a foreseen hurricane

Forecast-driven model for prepositioning supplies in preparation for a foreseen hurricane

Stochastic Dual Dynamic Programming Solution of a Short-Term Disaster Management Problem

Strategic and Operational Prepositioning in Case of Seasonal Natural Disasters: A Perspective

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