Theoretical Instance for SCD Model

Main Author: Cunha, Nuno
Format: Dataset
Terbitan: Mendeley , 2019
Subjects:
Online Access: https:/data.mendeley.com/datasets/m3rrb8tpfv
ctrlnum 0.17632-m3rrb8tpfv.1
fullrecord <?xml version="1.0"?> <dc><creator>Cunha, Nuno</creator><title>Theoretical Instance for SCD Model</title><publisher>Mendeley</publisher><description>The artificial instance considers fifteen parts and thirty suppliers. Each supplier can produce two or three parts. For each part, there are between four and six supplier candidates. Additionally, for each part, $30\% - 50\%$ of the candidates have `low' risk scores, $30\% - 50\%$ are `medium' risk, and $0\% - 34\%$ may be `high' risk. These values were chosen based on the aerospace industry's characteristics but could be tailored for other circumstances.</description><subject>Risk Management</subject><subject>Robust Optimization</subject><subject>Aerospace Industry</subject><subject>Supply Chain Design</subject><type>Other:Dataset</type><identifier>10.17632/m3rrb8tpfv.1</identifier><rights>Creative Commons Attribution 4.0 International</rights><rights>http://creativecommons.org/licenses/by/4.0</rights><relation>https:/data.mendeley.com/datasets/m3rrb8tpfv</relation><date>2019-12-20T17:07:30Z</date><recordID>0.17632-m3rrb8tpfv.1</recordID></dc>
format Other:Dataset
Other
author Cunha, Nuno
title Theoretical Instance for SCD Model
publisher Mendeley
publishDate 2019
topic Risk Management
Robust Optimization
Aerospace Industry
Supply Chain Design
url https:/data.mendeley.com/datasets/m3rrb8tpfv
contents The artificial instance considers fifteen parts and thirty suppliers. Each supplier can produce two or three parts. For each part, there are between four and six supplier candidates. Additionally, for each part, $30\% - 50\%$ of the candidates have `low' risk scores, $30\% - 50\%$ are `medium' risk, and $0\% - 34\%$ may be `high' risk. These values were chosen based on the aerospace industry's characteristics but could be tailored for other circumstances.
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institution Universitas Islam Indragiri
affiliation onesearch.perpusnas.go.id
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institution_type library:university
library
library Teknologi Pangan UNISI
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repoId IOS7969
first_indexed 2020-04-08T08:14:53Z
last_indexed 2020-04-08T08:14:53Z
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