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Data for: A novel approach based on Neo4j for multi-constrained flexible job shop scheduling problem

Main Author: Zhou, Xionghui
Other Authors: Zhu, Zhenwei
Format: Dataset
Terbitan: Mendeley , 2019
Subjects:
Job Shop Scheduling
Online Access: https:/data.mendeley.com/datasets/dmkz3sfdht
ctrlnum 0.17632-dmkz3sfdht.1
fullrecord <?xml version="1.0"?> <dc><creator>Zhou, Xionghui</creator><title>Data for: A novel approach based on Neo4j for multi-constrained flexible job shop scheduling problem</title><publisher>Mendeley</publisher><description>This dataset contains the multi-constrained flexible job shop scheduling problem instances tested by the authors.</description><subject>Job Shop Scheduling</subject><contributor>Zhu, Zhenwei</contributor><type>Other:Dataset</type><identifier>10.17632/dmkz3sfdht.1</identifier><rights>Attribution-NonCommercial 3.0 Unported</rights><rights>https://creativecommons.org/licenses/by-nc/3.0</rights><relation>https:/data.mendeley.com/datasets/dmkz3sfdht</relation><date>2019-03-14T11:26:36Z</date><recordID>0.17632-dmkz3sfdht.1</recordID></dc>
format Other:Dataset
Other
author Zhou, Xionghui
author2 Zhu, Zhenwei
title Data for: A novel approach based on Neo4j for multi-constrained flexible job shop scheduling problem
publisher Mendeley
publishDate 2019
topic Job Shop Scheduling
url https:/data.mendeley.com/datasets/dmkz3sfdht
contents This dataset contains the multi-constrained flexible job shop scheduling problem instances tested by the authors.
id IOS7969.0.17632-dmkz3sfdht.1
institution Universitas Islam Indragiri
affiliation onesearch.perpusnas.go.id
institution_id 804
institution_type library:university
library
library Teknologi Pangan UNISI
library_id 2816
collection Artikel mulono
repository_id 7969
city INDRAGIRI HILIR
province RIAU
shared_to_ipusnas_str 1
repoId IOS7969
first_indexed 2020-04-08T08:15:24Z
last_indexed 2020-04-08T08:15:24Z
recordtype dc
_version_ 1686587409792237568
score 17.538404

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