Humanitarian Relief Logistics with Time Restriction: Thai Flooding Case Study

Manopiniwes, Wapee; Nagasawa, Keisuke; Irohara, Takashi

doi:10.7232/iems.2014.13.4.398

Cited by 20 publications

(20 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…More specifically, resources that enhanced flexibility and resilience were relationships (Bradaschia and Pereria, 2015;Callaghan, 2016;Ponis and Ntalla, 2016;Grube and Storr, 2018;and Morris, 2019), information from outside organizations (Callaghan, 2016;Ageron et al, 2018;Grube and Storr, 2018;Morris, 2019;Rasheed et al, 2019;and Stute et al, 2020), operational policies (Manopiniwes, Nagasawa and Irohara, 2014;Bradaschia and Pereria, 2015;Callaghan, 2016;Ponis and Ntalla, 2016;Ageron et al, 2018;Morris, 2019;Rasheed et al, 2019;and Stute et al, 2020), humans (Callaghan, 2016;Ageron et al, 2018), laws (Tierney, 2014), physical infrastructures (Manopiniwes, Nagasawa and Irohara, 2014;and Stute et al, 2020), and financial (Topaloglu et al, 2018). From Manopiniwes et al (2014), costs in a humanitarian logistics model were affected most by response times. As response times grew to supply affected communities, the logistics costs inevitably increased (Manopiniwes et al, 2014).…”

Section: Time and Relief Efforts In Humanitarian Logistics And Crisis And Disaster Managementmentioning

confidence: 99%

The Influence of Time and Crowdfunding Donation on Covid-19: A Generalized Linear Model Approach

Tan

Arceo

Parcia

2022

JCIA

View full text Add to dashboard Cite

The purpose of this study was to examine the effects that time and community assistance (in the form of donations) had on accrued recoveries from the Novel Coronavirus. This study examined donation transaction data from a community-based national virtual donation platform in conjunction with government released figures on populations and COVID-19 cases in the Philippines. Findings from a Generalized Linear Model showed that at a 0.001 level of significance, the passage of time affected accrued recoveries by about 14 (13.23) daily, while cumulative individual donations improved recoveries by about 2 (1.69) people. A series of simulations that visualized the effects of time and donations on recoveries evidenced that accrued recoveries were accelerated by donations. Results from the analysis generated a series of recommendations based on Resource-Advantage Theory, along with Disaster Management Theory as applied to supply-chains. The first recommendation was to allow broader access to the platform as an information exchange. An expansion of the crowdsourcing features on the platform was a second recommendation. A third recommendation was establishing a relief distribution network prior to the next disaster.

show abstract

Section: Time and Relief Efforts In Humanitarian Logistics And Crisis And Disaster Managementmentioning

confidence: 99%

The Influence of Time and Crowdfunding Donation on Covid-19: A Generalized Linear Model Approach

Tan

Arceo

Parcia

2022

JCIA

View full text Add to dashboard Cite

show abstract

“…Model yang dikembangkan [13] [17] untuk menentukan lokasi pusat distribusi dan total persediaan yang akan disimpan untuk setiap pusat distribusi kemudian diselesaikan dengan mixed integer programming. Setiap permintaan umumnya dipenuhi oleh fasilitas atau gudang terdekat jika fasilitas memiliki kapasitas tidak terbatas.…”

Section: Model Mixed Integer Programmingunclassified

STUDI LITERATUR: Analisis Distribusi Masalah Lokasi Fasilitas untuk Logistik Bantuan Kemanusiaan

Syakina¹,

Nurdiati²

2021

J. Pijar MIPA

View full text Add to dashboard Cite

Bencana adalah setiap peristiwa atau kejadian yang disebabkan oleh faktor alam dan/atau faktor non alam yang dapat mengakibatkan timbulnya kerusakan lingkungan, kerugian harta benda, gangguan ekologis, dan hilangnya jiwa manusia. Model pada masalah lokasi fasilitas yang terkait dengan model optimasi logistik merupakan pendekatan penting dalam manajemen bencana. Studi literatur ini bertujuan untuk menganalisis penerapan metode eksak dan metode heuristik tersebut dalam menentukan distribusi masalah lokasi fasilitas untuk logistik bantuan kemanusiaan. Metode yang dilakukan melalui penelusuran artikel pada situs Google Scholar, Science Direct, dan Informs Journal. Hasil penelurusan adalah mendapatkan 12 artikel yang memenuhi kriteria untuk dikaji. Penerapan untuk metode eksak dan metode heuristik dapat dilakukan secara terpisah maupun dikolaborasikan untuk mendapatkan solusi dari model yang sudah dibangun. Solusi yang diperoleh melalui metode eksak merupakan hasil optimal, namun untuk kasus dengan skala besar dan masalah yang rumit, metode heuristik dapat digunakan. Metode heuristik memungkinkan waktu penyelesaian solusi lebih cepat jika dibandingkan dengan metode eksak.

show abstract

“…Many logistical decisions are made during the preparedness phase of disaster management, such as response planning (including training and exercises), assessments of infrastructure and supply chain functionality, evacuation planning [11], locations of distribution centers and supply prepositioning, infrastructure network vulnerability analysis [12][13][14] and design, etc. Various papers [15][16][17][18][19][20][21][22][23][24][25][26] address the problem of prepositioning supplies for disaster management, which is an example of supply chain network design. Making facility location and supply prepositioning decisions prior to a disaster is necessary to mitigate post-event supply chain disruptions.…”

Section: Prepositioning and Facility Locationmentioning

confidence: 99%

“…Mohammadi et al [24] propose a multiobjective particle swarm optimization algorithm to solve their model with the objectives of minimizing costs, maximizing total expected demand covered, and minimizing the maximum difference in the satisfaction rate between the demand locations in each scenario. In contrast to the aforementioned papers, Manopiniwes et al [25] develop a deterministic model with a single demand scenario (i.e., demand is known in advance) with the objective of minimizing total operational costs.…”

Section: Prepositioning and Facility Locationmentioning

confidence: 99%

Quantitative modeling in disaster management: A literature review

Baxter¹,

Lagerman²,

Keskinocak³

2020

IBM J. Res. & Dev.

View full text Add to dashboard Cite

The number, magnitude, complexity, and impact of natural disasters have been steadily increasing in various parts of the world. When preparing for, responding to, and recovering from a disaster, multiple organizations make decisions and take actions considering the needs, available resources, and priorities of the affected communities, emergency supply chains, and infrastructures. Most of the prior research focuses on decision-making for independent systems (e.g., single critical infrastructure networks or distinct relief resources). An emerging research area extends the focus to interdependent systems (i.e., multiple dependent networks or resources). In this article, we survey the literature on modeling approaches for disaster management problems on independent systems, discuss some recent work on problems involving demand, resource, and/or network interdependencies, and offer future research directions to add to this growing research area.

show abstract

Humanitarian Relief Logistics with Time Restriction: Thai Flooding Case Study

Cited by 20 publications

References 10 publications

The Influence of Time and Crowdfunding Donation on Covid-19: A Generalized Linear Model Approach

The Influence of Time and Crowdfunding Donation on Covid-19: A Generalized Linear Model Approach

STUDI LITERATUR: Analisis Distribusi Masalah Lokasi Fasilitas untuk Logistik Bantuan Kemanusiaan

Quantitative modeling in disaster management: A literature review

Contact Info

Product

Resources

About