Evidence map›Paper›PMID 33621257›Full record

ArticlePloS one2021

A new scheduling method based on sequential time windows developed to distribute first-aid medicine for emergency logistics following an earthquake.

Jiaqi Fang, Hanping Hou, Changxiang Lu, Haiyun Pang, Qingshan Deng, Yong Ye, Lingle Pan

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jiaqi FangSchool of Economics and Management, Beijing Jiaotong University, Beijing, China.
Hanping HouSchool of Economics and Management, Beijing Jiaotong University, Beijing, China.ORCID 0000-0002-7712-5763
Changxiang LuSchool of Economics and Management, Beijing Jiaotong University, Beijing, China.ORCID 0000-0003-3631-2279
Haiyun PangSchool of Economics and Management, Zhejiang University of Science and Technology, Hangzhou, Zhejiang, China.
Qingshan DengDepartment of Radiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Yong YeSchool of Public Health and Management, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Lingle PanCollege of Emergency Management, Zhejiang College of Security Technology, Wenzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After an earthquake, affected areas have insufficient medicinal supplies, thereby necessitating substantial distribution of first-aid medicine from other supply centers. To make a proper distribution schedule, we considered the timing of supply and demand. In the present study, a "sequential time window" is used to describe the time to generate of supply and demand and the time of supply delivery. Then, considering the sequential time window, we proposed two multiobjective scheduling models with the consideration of demand uncertainty; two multiobjective stochastic programming models were also proposed to solve the scheduling models. Moreover, this paper describes a simulation that was performed based on a first-aid medicine distribution problem during a Wenchuan earthquake response. The simulation results show that the methodologies proposed in this paper provide effective schedules for the distribution of first-aid medicine. The developed distribution schedule enables some supplies in the former time windows to be used in latter time windows. This schedule increases the utility of limited stocks and avoids the risk that all the supplies are used in the short-term, leaving no supplies for long-term use.

Indexed as

Computer SimulationEarthquakesEmergenciesPersonnel Staffing and SchedulingEmergency Service, HospitalFirst AidHumansTime Factors

Identifiers

PMID33621257
PMCPMC7901742

What OpenQuestion holds

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.