A two-stage stochastic model for location planning of temporary medical centers for disaster response

Oksuz, Mehmet Kursat; Satoğlu, Şule Itır

doi:10.1016/j.ijdrr.2019.101426

Cited by 79 publications

(43 citation statements)

References 50 publications

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“…This stochastic mixed integer-programming model provides a robust model that considers the demand uncertainty as well as uncertainty regarding the transportation network availability after a natural disaster such as hurricanes. Another study for the location selection of temporary medical centers was performed by Oksuz and Satoglu [47]. They proposed a two-stage stochastic programming approach to minimize the transportation cost and set-up cost of temporary medical centers.…”

Section: Stochastic Programming Approachmentioning

confidence: 99%

A Systematic Literature Review on Mathematical Models of Humanitarian Logistics

Hezam

Nayeem

2020

Symmetry

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Humanitarian logistics (HL) is considered one of the most significant issues of disaster operations and management. Thus, HL operation should be viable enough to function well under the uncertain and complex nature of the disaster. Many difficulties in pre-and post-disaster phases bring both human and economic losses. Therefore, it is essential to make sure that the HL operations are designed efficiently. In the last two decades, several publications have emphasized efficient HL operations and proposed several mathematical models and algorithms to increase the efficiency of HL operations and motivated the necessity of a systematic literature review. A systematic literature review is deemed pertinent due to its transparent and detailed article searching procedure. In this study, due to the importance of the mathematical optimization model, we reviewed more than one hundred articles published between 2000 and 2020 to investigate the optimization models in the field of HL. We classified the optimization models into three main problems: facility location problems, relief distribution, and mass evacuation where each of the classified areas includes both deterministic and non-deterministic models.

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Section: Stochastic Programming Approachmentioning

confidence: 99%

A Systematic Literature Review on Mathematical Models of Humanitarian Logistics

Hezam

Nayeem

2020

Symmetry

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“…The

-reliability approach, also known as chance constraint, was first presented by Daskin et al (1997) for the facility location problem. Since then, it has been applied to SC design studies ( Oksuz and Satoglu, 2020 ).

…”

Section: Problem Description and Model Formulationmentioning

confidence: 99%

“…In this study, the motivation behind employing stochastic programming comes from the ripple effect experienced in (R)SC. When relatively important situations are considered simultaneously, the stochastic programming can easily take disruptions into account thanks to scenario-based modeling ( Sawik, 2016 ; Oksuz and Satoglu, 2020 ). There are also other techniques to solve problems involving uncertainty, such as robust programming and fuzzy optimization ( Lim et al, 2013 ; Hasani and Khosrojerdi, 2016 ; Dolgui et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

“…In the existing literature, there are several studies employing the

-reliability constraint for the sensitivity analysis as in this study. (For further investigation considering

-reliability, also known as chance constraint, we refer to the studies conducted by Taleizadeh et al, 2012 ; Oksuz and Satoglu, 2020 ; Ugranlı, 2020 . Thanks to this constraint, sensitivity analysis can be performed in these studies to analyze the influence of service levels on the performance indicators.)…”

Section: Introductionmentioning

confidence: 99%

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Ensuring sustainability in the reverse supply chain in case of the ripple effect: A two-stage stochastic optimization model

Yılmaz

Özçelik

Yeni

2021

Journal of Cleaner Production

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The devastating impact of the ripple effect increases the importance of the reverse supply chain (RSC) design to ensure sustainability in the long-term. That being the case, in this study, a two-stage stochastic mixed-integer optimization model is proposed to design an RSC network under uncertainty sourcing from the ripple effect (i.e. external side of RSC) by considering the environmental and economic dimensions of sustainability. The environmental and economic disruptions of the ripple effect are represented by the increase in the carbon emission levels and the distance of roads, and the decrease in the capacity of facilities, respectively. Accordingly, a set of scenarios is considered based on the disruption levels (low- and high-impact) in case of the ripple effect. Furthermore, an -reliability constraint is integrated into the model to further analyze the occurrence of scenarios. The model allows us to make integrated operational and strategic decisions by placing an emphasis on the carbon emission levels (i.e. environmental dimension) and the total cost (i.e. economic dimension). To obtain some remarkable insights, the proposed model is validated through computational experiments based on data extracted from a real case. The computational results show that the ripple effect increases the emission level and total cost up to 40%. For this reason, it suggested that the regulations regarding WEEE (Waste Electrical and Electronic Equipment) should be prepared by considering sustainability in the entire RSC network. Besides, it is realized that the centralized distribution strategy leads to a more resilient RSC network design.

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“…Currently, the issues of planning and implementing organizational methods of eliminating negative consequences of natural disasters are studied by Russian (Lysauskaite, 2019) and foreign (Huck, Monstadt, & Driessen, 2020;Oksuz & Satoglu, 2020) researchers. At the same time, the success of both organizational measures and restoration of the affected territories depends on the competent use of economic measures.…”

Section: Problem Statementmentioning

confidence: 99%

Economic And Legal Regulation Of Disaster Management In The Russian Federation

Vasilyeva¹

2020

European Proceedings of Social and Behavioural Sciences

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A two-stage stochastic model for location planning of temporary medical centers for disaster response

Cited by 79 publications

References 50 publications

A Systematic Literature Review on Mathematical Models of Humanitarian Logistics

A Systematic Literature Review on Mathematical Models of Humanitarian Logistics

Ensuring sustainability in the reverse supply chain in case of the ripple effect: A two-stage stochastic optimization model

Economic And Legal Regulation Of Disaster Management In The Russian Federation

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