Evidence map›Paper›PMID 30544502›Full record

ArticleInternational journal of environmental research and public health2018

An Inventory Model for Deteriorating Drugs with Stochastic Lead Time.

Jian Li, Lu Liu, Hao Hu, Qiuhong Zhao, Libin Guo

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Jian LiResearch Base of Beijing Modern Manufacturing Development, College of Economics and Management, Beijing University of Technology, Beijing 100124, China. lijiansem@bjut.edu.cn.ORCID 0000-0001-6194-7781
Lu LiuSchool of Economics and Management, Beihang University, Beijing 100091, China. liulu1022@buaa.edu.cn.ORCID 0000-0001-8768-5740
Hao HuCollege of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China. huhao19820922@sina.com.
Qiuhong ZhaoSchool of Economics and Management, Beihang University, Beijing 100091, China. qhzhao@buaa.edu.cn.
Libin GuoCollege of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China. glb0412@163.com.ORCID 0000-0001-7401-8033

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inventory management of deteriorating drugs has attracted considerable attention recently in hospitals. Drugs are a kind of special product. Two characteristics of some drugs are the shorter shelf life and high service level. This causes hospitals a great deal of difficulty in inventory management of perishable drugs. On one hand, hospitals should increase the drug inventory to achieve a higher service level. On the other hand, hospitals should decrease the drug inventory because of the short shelf life of drugs. An effective management of pharmaceuticals is required to ensure 100% product availability at the right time, at the right cost, in good conditions to the right customers. This requires a trade-off between shelf-life and service level. In addition, many uncontrollable factors can lead to random lead time of drugs. This paper focuses on deteriorating drugs with stochastic lead time. We have established a stochastic lead time inventory model for deteriorating drugs with fixed demand. The lead time obeyed a certain distribution function and shortages were allowed. This model also considered constraints on service level, stock space and drug shelf life. Through the analysis of the model, the shelf life of drugs and service level were weighted in different lead time distributions. Empirical analysis and sensitivity analysis were given to get reach important conclusions and enlightenment.

Indexed as

Drug StabilityDrug StorageHumansInventories, HospitalStochastic Processesdeteriorating drugsinventory modelstochastic lead timesupply chain education

Identifiers

PMID30544502
PMCPMC6313520

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.