Evidence map›Paper›PMID 36232188›Full record

ArticleInternational journal of environmental research and public health2022

Variable Neighborhood Search for Multi-Cycle Medical Waste Recycling Vehicle Routing Problem with Time Windows.

Wanting Zhang, Ming Zeng, Peng Guo, Kun Wen

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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

4 authors.

Wanting ZhangCollege of Management Science, Chengdu University of Technology, Chengdu 610059, China.
Ming ZengCollege of Management Science, Chengdu University of Technology, Chengdu 610059, China.
Peng GuoSchool of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China.
Kun WenSchool of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China.

Funding

Chengdu-Chongqing twin Cities Economic Circle Science and Technology Innovation and New Economy Research Center CYCX2021ZC32Ministry of Education 21YJC630034Sichuan Disaster Economic Research Center ZHJJ2021-YB00
6 · The paper itself

Abstract

backgroundImproper disposal of urban medical waste is likely to cause a series of neglective impacts. Therefore, we have to consider how to improve the efficiency of urban medical waste recycling and lowering carbon emissions when facing disposal.

methodsThis paper considers the multi-cycle medical waste recycling vehicle routing problem with time windows for preventing and reducing the risk of medical waste transportation. First, a mixed-integer linear programming model is formulated to minimize the total cost consisting of the vehicle dispatch cost and the transportation costs. In addition, an improved neighborhood search algorithm is designed for handling large-sized problems. In the algorithm, the initial solution is constructed using the Clarke-Wright algorithm in the first stage, and the variable neighborhood search algorithm with a simulated annealing strategy is introduced for exploring a better solution in the second stage.

resultsThe computational results demonstrate the performance of the suggested algorithm. In addition, the total cost of recycling in the periodic strategy is lower than with the single-cycle strategy.

conclusionsThe proposed model and algorithm have the management improvement value of the studied medical waste recycling vehicle routing problem.

Indexed as

Medical WasteWaste ManagementAlgorithmsCarbonRecyclingTransportationCarbonMedical Wastemedical waste recyclingmulti-cycletime windowsvariable neighborhood searchvehicle routing problem

Identifiers

PMID36232188
PMCPMC9566800

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Registered trials

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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.