Evidence map›Paper›PMID 28889216›Full record

ArticleEnvironmental science and pollution research international2017

Municipal solid waste management planning for Xiamen City, China: a stochastic fractional inventory-theory-based approach.

Xiujuan Chen, Guohe Huang, Shan Zhao, Guanhui Cheng, Yinghui Wu, Hua Zhu

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2017. 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

6 authors.

Xiujuan ChenEnvironmental Systems Engineering, Faculty of Applied Science and Engineering, University of Regina, Regina, SK, S4S 0A2, Canada.
Guohe HuangEnvironmental Systems Engineering, Faculty of Applied Science and Engineering, University of Regina, Regina, SK, S4S 0A2, Canada. gordon.huang@uregina.ca.
Shan ZhaoInstitute for Energy, Environment and Sustainability Research, University of Regina, Regina, S4S 0A2, Canada.
Guanhui ChengInstitute for Energy, Environment and Sustainability Research, University of Regina, Regina, S4S 0A2, Canada.
Yinghui WuEnvironmental Systems Engineering, Faculty of Applied Science and Engineering, University of Regina, Regina, SK, S4S 0A2, Canada.
Hua ZhuS-C Energy and Environmental Research Academy, North China Electric Power University, Beijing, 102206, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, a stochastic fractional inventory-theory-based waste management planning (SFIWP) model was developed and applied for supporting long-term planning of the municipal solid waste (MSW) management in Xiamen City, the special economic zone of Fujian Province, China. In the SFIWP model, the techniques of inventory model, stochastic linear fractional programming, and mixed-integer linear programming were integrated in a framework. Issues of waste inventory in MSW management system were solved, and the system efficiency was maximized through considering maximum net-diverted wastes under various constraint-violation risks. Decision alternatives for waste allocation and capacity expansion were also provided for MSW management planning in Xiamen. The obtained results showed that about 4.24 × 10

Indexed as

Decision MakingChinaCitiesModels, TheoreticalRefuse DisposalSolid WasteStochastic ProcessesSolid WasteChance-constrained programmingMSW managementStochastic linear fractional programmingWaste inventory

Identifiers

PMID28889216

What OpenQuestion holds

Textmetadata
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.