Mitigating the risk of information leakage in a two-level supply chain through optimal supplier selection

Information leakage in supply chains is drawing more and more attention in supply chain management. Unlike existing research, which usually focuses on the effect of information leakage on the supply chain’s material and information flow, this paper aims to evaluate and mitigate the risk of informati...

Full description

Saved in:
Bibliographic Details
Published in:Journal of intelligent manufacturing 2012-08, Vol.23 (4), p.1351-1364
Main Authors: Zhang, Da Yong, Cao, Xinlin, Wang, Lingyu, Zeng, Yong
Format: Article
Language:English
Subjects:
Business and Management
Competition
Component and supplier management
Control
Information flow
Leakage
Levels
Machines
Management
Manufacturing
Mechatronics
Optimization
Processes
Production
Risk
Risk reduction
Robotics
Suppliers
Supply chains
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c316t-dfe6627ee8f296c840f5baf821a29397469205d1a74128cb198ae05fbfb1ccbd3
cites cdi_FETCH-LOGICAL-c316t-dfe6627ee8f296c840f5baf821a29397469205d1a74128cb198ae05fbfb1ccbd3
container_end_page 1364
container_issue 4
container_start_page 1351
container_title Journal of intelligent manufacturing
container_volume 23
creator Zhang, Da Yong
Cao, Xinlin
Wang, Lingyu
Zeng, Yong
description Information leakage in supply chains is drawing more and more attention in supply chain management. Unlike existing research, which usually focuses on the effect of information leakage on the supply chain’s material and information flow, this paper aims to evaluate and mitigate the risk of information leakage. First, we formulate the problem of information leakage caused by inferences in a two-level supply chain where potential competition may exist between a supplier and the manufacturer. Second, we propose a method to mitigate the risk of such information leakage through optimal supplier selection. An example is used to demonstrate the problem and our proposed approach.
doi_str_mv 10.1007/s10845-011-0527-3
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1908349603</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1908349603</sourcerecordid><originalsourceid>FETCH-LOGICAL-c316t-dfe6627ee8f296c840f5baf821a29397469205d1a74128cb198ae05fbfb1ccbd3</originalsourceid><addsrcrecordid>eNp1kM1OwzAQhC0EEqXwANwscTZ4nTixj6jiTyriAmfLce0kbRoHOwHx9rhKD1w4rTQ7M7v6ELoGeguUlncRqMg5oQCEclaS7AQtgJeMCMj5KVpQyQvCOfBzdBHjllIqRQEL1L62Y1vrse1rPDYWhzbusHe47Z0P-6T7HndW73Rtk4Y1Hr896eyX7XCchqH7wabRaTE2wU91g_0wtnt9XLY24Gg7aw41l-jM6S7aq-Ncoo_Hh_fVM1m_Pb2s7tfEZFCMZONsUbDSWuGYLIzIqeOVdoKBZjKTZV5IRvkGdJkDE6YCKbSl3FWuAmOqTbZEN3PvEPznZOOotn4KfTqpQFKR5bKgWXLB7DLBxxisU0NIj4cfBVQdiKqZqEpE1YGoOmTYnInJ29c2_Gn-N_QLSRF6lA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1908349603</pqid></control><display><type>article</type><title>Mitigating the risk of information leakage in a two-level supply chain through optimal supplier selection</title><source>Business Source Ultimate</source><source>ABI/INFORM Global</source><source>Springer Nature</source><creator>Zhang, Da Yong ; Cao, Xinlin ; Wang, Lingyu ; Zeng, Yong</creator><creatorcontrib>Zhang, Da Yong ; Cao, Xinlin ; Wang, Lingyu ; Zeng, Yong</creatorcontrib><description>Information leakage in supply chains is drawing more and more attention in supply chain management. Unlike existing research, which usually focuses on the effect of information leakage on the supply chain’s material and information flow, this paper aims to evaluate and mitigate the risk of information leakage. First, we formulate the problem of information leakage caused by inferences in a two-level supply chain where potential competition may exist between a supplier and the manufacturer. Second, we propose a method to mitigate the risk of such information leakage through optimal supplier selection. An example is used to demonstrate the problem and our proposed approach.</description><identifier>ISSN: 0956-5515</identifier><identifier>EISSN: 1572-8145</identifier><identifier>DOI: 10.1007/s10845-011-0527-3</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>Business and Management ; Competition ; Component and supplier management ; Control ; Information flow ; Leakage ; Levels ; Machines ; Management ; Manufacturing ; Mechatronics ; Optimization ; Processes ; Production ; Risk ; Risk reduction ; Robotics ; Suppliers ; Supply chains</subject><ispartof>Journal of intelligent manufacturing, 2012-08, Vol.23 (4), p.1351-1364</ispartof><rights>Springer Science+Business Media, LLC 2011</rights><rights>Journal of Intelligent Manufacturing is a copyright of Springer, 2012.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-dfe6627ee8f296c840f5baf821a29397469205d1a74128cb198ae05fbfb1ccbd3</citedby><cites>FETCH-LOGICAL-c316t-dfe6627ee8f296c840f5baf821a29397469205d1a74128cb198ae05fbfb1ccbd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1908349603/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1908349603?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,27924,27925,36060,44363,74895</link.rule.ids></links><search><creatorcontrib>Zhang, Da Yong</creatorcontrib><creatorcontrib>Cao, Xinlin</creatorcontrib><creatorcontrib>Wang, Lingyu</creatorcontrib><creatorcontrib>Zeng, Yong</creatorcontrib><title>Mitigating the risk of information leakage in a two-level supply chain through optimal supplier selection</title><title>Journal of intelligent manufacturing</title><addtitle>J Intell Manuf</addtitle><description>Information leakage in supply chains is drawing more and more attention in supply chain management. Unlike existing research, which usually focuses on the effect of information leakage on the supply chain’s material and information flow, this paper aims to evaluate and mitigate the risk of information leakage. First, we formulate the problem of information leakage caused by inferences in a two-level supply chain where potential competition may exist between a supplier and the manufacturer. Second, we propose a method to mitigate the risk of such information leakage through optimal supplier selection. An example is used to demonstrate the problem and our proposed approach.</description><subject>Business and Management</subject><subject>Competition</subject><subject>Component and supplier management</subject><subject>Control</subject><subject>Information flow</subject><subject>Leakage</subject><subject>Levels</subject><subject>Machines</subject><subject>Management</subject><subject>Manufacturing</subject><subject>Mechatronics</subject><subject>Optimization</subject><subject>Processes</subject><subject>Production</subject><subject>Risk</subject><subject>Risk reduction</subject><subject>Robotics</subject><subject>Suppliers</subject><subject>Supply chains</subject><issn>0956-5515</issn><issn>1572-8145</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNp1kM1OwzAQhC0EEqXwANwscTZ4nTixj6jiTyriAmfLce0kbRoHOwHx9rhKD1w4rTQ7M7v6ELoGeguUlncRqMg5oQCEclaS7AQtgJeMCMj5KVpQyQvCOfBzdBHjllIqRQEL1L62Y1vrse1rPDYWhzbusHe47Z0P-6T7HndW73Rtk4Y1Hr896eyX7XCchqH7wabRaTE2wU91g_0wtnt9XLY24Gg7aw41l-jM6S7aq-Ncoo_Hh_fVM1m_Pb2s7tfEZFCMZONsUbDSWuGYLIzIqeOVdoKBZjKTZV5IRvkGdJkDE6YCKbSl3FWuAmOqTbZEN3PvEPznZOOotn4KfTqpQFKR5bKgWXLB7DLBxxisU0NIj4cfBVQdiKqZqEpE1YGoOmTYnInJ29c2_Gn-N_QLSRF6lA</recordid><startdate>20120801</startdate><enddate>20120801</enddate><creator>Zhang, Da Yong</creator><creator>Cao, Xinlin</creator><creator>Wang, Lingyu</creator><creator>Zeng, Yong</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7TB</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>8AL</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>K9.</scope><scope>L.-</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0N</scope><scope>M0S</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>20120801</creationdate><title>Mitigating the risk of information leakage in a two-level supply chain through optimal supplier selection</title><author>Zhang, Da Yong ; Cao, Xinlin ; Wang, Lingyu ; Zeng, Yong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-dfe6627ee8f296c840f5baf821a29397469205d1a74128cb198ae05fbfb1ccbd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Business and Management</topic><topic>Competition</topic><topic>Component and supplier management</topic><topic>Control</topic><topic>Information flow</topic><topic>Leakage</topic><topic>Levels</topic><topic>Machines</topic><topic>Management</topic><topic>Manufacturing</topic><topic>Mechatronics</topic><topic>Optimization</topic><topic>Processes</topic><topic>Production</topic><topic>Risk</topic><topic>Risk reduction</topic><topic>Robotics</topic><topic>Suppliers</topic><topic>Supply chains</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Da Yong</creatorcontrib><creatorcontrib>Cao, Xinlin</creatorcontrib><creatorcontrib>Wang, Lingyu</creatorcontrib><creatorcontrib>Zeng, Yong</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Engineering Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of intelligent manufacturing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Da Yong</au><au>Cao, Xinlin</au><au>Wang, Lingyu</au><au>Zeng, Yong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mitigating the risk of information leakage in a two-level supply chain through optimal supplier selection</atitle><jtitle>Journal of intelligent manufacturing</jtitle><stitle>J Intell Manuf</stitle><date>2012-08-01</date><risdate>2012</risdate><volume>23</volume><issue>4</issue><spage>1351</spage><epage>1364</epage><pages>1351-1364</pages><issn>0956-5515</issn><eissn>1572-8145</eissn><abstract>Information leakage in supply chains is drawing more and more attention in supply chain management. Unlike existing research, which usually focuses on the effect of information leakage on the supply chain’s material and information flow, this paper aims to evaluate and mitigate the risk of information leakage. First, we formulate the problem of information leakage caused by inferences in a two-level supply chain where potential competition may exist between a supplier and the manufacturer. Second, we propose a method to mitigate the risk of such information leakage through optimal supplier selection. An example is used to demonstrate the problem and our proposed approach.</abstract><cop>Boston</cop><pub>Springer US</pub><doi>10.1007/s10845-011-0527-3</doi><tpages>14</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0956-5515
ispartof Journal of intelligent manufacturing, 2012-08, Vol.23 (4), p.1351-1364
issn 0956-5515
1572-8145
language eng
recordid cdi_proquest_journals_1908349603
source Business Source Ultimate; ABI/INFORM Global; Springer Nature
subjects Business and Management
Competition
Component and supplier management
Control
Information flow
Leakage
Levels
Machines
Management
Manufacturing
Mechatronics
Optimization
Processes
Production
Risk
Risk reduction
Robotics
Suppliers
Supply chains
title Mitigating the risk of information leakage in a two-level supply chain through optimal supplier selection
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T17%3A23%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Mitigating%20the%20risk%20of%20information%20leakage%20in%20a%20two-level%20supply%20chain%20through%20optimal%20supplier%20selection&rft.jtitle=Journal%20of%20intelligent%20manufacturing&rft.au=Zhang,%20Da%20Yong&rft.date=2012-08-01&rft.volume=23&rft.issue=4&rft.spage=1351&rft.epage=1364&rft.pages=1351-1364&rft.issn=0956-5515&rft.eissn=1572-8145&rft_id=info:doi/10.1007/s10845-011-0527-3&rft_dat=%3Cproquest_cross%3E1908349603%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c316t-dfe6627ee8f296c840f5baf821a29397469205d1a74128cb198ae05fbfb1ccbd3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1908349603&rft_id=info:pmid/&rfr_iscdi=true