Decentralized production–distribution planning in multi-echelon supply chain network using intelligent agents
The difference between integrated supply chain and decentralized supply chain is that in integrated supply chain, all the channel partners i.e., suppliers, manufacturers, transport providers, warehouse owners Will cooperate with each other and share the information on costs, capacities etc., to othe...
Gespeichert in:
Veröffentlicht in: | Opsearch 2017-06, Vol.54 (2), p.217-232 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 232 |
---|---|
container_issue | 2 |
container_start_page | 217 |
container_title | Opsearch |
container_volume | 54 |
creator | Prasad, T. V. S. R. K. Srinivas, Kolla Srinivas, C. |
description | The difference between integrated supply chain and decentralized supply chain is that in integrated supply chain, all the channel partners i.e., suppliers, manufacturers, transport providers, warehouse owners Will cooperate with each other and share the information on costs, capacities etc., to other partners with a view to reduce the overall supply chain cost. In decentralized supply chains, the channel partners will not share information with other partners for fear of distrust, losing their grip in their own domain. In decentralized supply chain systems, each entity (manufacturers, transporters etc.) is modeled as autonomous agent. Each autonomous agent has an objective and a set of constraints. All agents working together will develop feasible plans which are acceptable to all entities. In this paper a “Decentralized production–distribution planning in multi-echelon supply chain network using intelligent agents” model has been proposed and validated. |
doi_str_mv | 10.1007/s12597-016-0277-2 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1904071855</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1904071855</sourcerecordid><originalsourceid>FETCH-LOGICAL-c316t-ed4feb431778988db7f35db75189bbbdff6da8c8e16508872fa0b9321d3b0b3f3</originalsourceid><addsrcrecordid>eNp1UEtOwzAUtBBIlMIB2EVibXiOk9hZovKVKrGBtWXHTuviOsFOhMqKO3BDToKrsGDD5n00M-9pBqFzApcEgF1Fkpc1w0AqDDljOD9AM6hZiYHmcJhmoIAp5-wYncS4AagK4MUMdTemMX4I0tkPo7M-dHpsBtv5788vbeMQrBr3a9Y76b31q8z6bDu6wWLTrI1LSBz73u2yZi0T5M3w3oXXbIwTdzDO2VX6kMl9jafoqJUumrPfPkcvd7fPiwe8fLp_XFwvcUNJNWCji9aoghLGeM25VqylZaol4bVSSrdtpSVvuCFVCclV3kpQNc2JpgoUbekcXUx3k6O30cRBbLox-PRSkBoKYISXZWKRidWELsZgWtEHu5VhJwiIfa5iylWkXMU-V5EnTT5pYuL6lQl_Lv8r-gHZbX9h</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1904071855</pqid></control><display><type>article</type><title>Decentralized production–distribution planning in multi-echelon supply chain network using intelligent agents</title><source>Springer Nature - Complete Springer Journals</source><creator>Prasad, T. V. S. R. K. ; Srinivas, Kolla ; Srinivas, C.</creator><creatorcontrib>Prasad, T. V. S. R. K. ; Srinivas, Kolla ; Srinivas, C.</creatorcontrib><description>The difference between integrated supply chain and decentralized supply chain is that in integrated supply chain, all the channel partners i.e., suppliers, manufacturers, transport providers, warehouse owners Will cooperate with each other and share the information on costs, capacities etc., to other partners with a view to reduce the overall supply chain cost. In decentralized supply chains, the channel partners will not share information with other partners for fear of distrust, losing their grip in their own domain. In decentralized supply chain systems, each entity (manufacturers, transporters etc.) is modeled as autonomous agent. Each autonomous agent has an objective and a set of constraints. All agents working together will develop feasible plans which are acceptable to all entities. In this paper a “Decentralized production–distribution planning in multi-echelon supply chain network using intelligent agents” model has been proposed and validated.</description><identifier>ISSN: 0030-3887</identifier><identifier>EISSN: 0975-0320</identifier><identifier>DOI: 10.1007/s12597-016-0277-2</identifier><language>eng</language><publisher>New Delhi: Springer India</publisher><subject>Application Article ; Business and Management ; Distribution planning ; Integrated approach ; Intelligent agents ; Management ; Mathematics ; Operations research ; Operations Research/Decision Theory ; Supply chains</subject><ispartof>Opsearch, 2017-06, Vol.54 (2), p.217-232</ispartof><rights>Operational Research Society of India 2016</rights><rights>OPSEARCH is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-ed4feb431778988db7f35db75189bbbdff6da8c8e16508872fa0b9321d3b0b3f3</citedby><cites>FETCH-LOGICAL-c316t-ed4feb431778988db7f35db75189bbbdff6da8c8e16508872fa0b9321d3b0b3f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12597-016-0277-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12597-016-0277-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Prasad, T. V. S. R. K.</creatorcontrib><creatorcontrib>Srinivas, Kolla</creatorcontrib><creatorcontrib>Srinivas, C.</creatorcontrib><title>Decentralized production–distribution planning in multi-echelon supply chain network using intelligent agents</title><title>Opsearch</title><addtitle>OPSEARCH</addtitle><description>The difference between integrated supply chain and decentralized supply chain is that in integrated supply chain, all the channel partners i.e., suppliers, manufacturers, transport providers, warehouse owners Will cooperate with each other and share the information on costs, capacities etc., to other partners with a view to reduce the overall supply chain cost. In decentralized supply chains, the channel partners will not share information with other partners for fear of distrust, losing their grip in their own domain. In decentralized supply chain systems, each entity (manufacturers, transporters etc.) is modeled as autonomous agent. Each autonomous agent has an objective and a set of constraints. All agents working together will develop feasible plans which are acceptable to all entities. In this paper a “Decentralized production–distribution planning in multi-echelon supply chain network using intelligent agents” model has been proposed and validated.</description><subject>Application Article</subject><subject>Business and Management</subject><subject>Distribution planning</subject><subject>Integrated approach</subject><subject>Intelligent agents</subject><subject>Management</subject><subject>Mathematics</subject><subject>Operations research</subject><subject>Operations Research/Decision Theory</subject><subject>Supply chains</subject><issn>0030-3887</issn><issn>0975-0320</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1UEtOwzAUtBBIlMIB2EVibXiOk9hZovKVKrGBtWXHTuviOsFOhMqKO3BDToKrsGDD5n00M-9pBqFzApcEgF1Fkpc1w0AqDDljOD9AM6hZiYHmcJhmoIAp5-wYncS4AagK4MUMdTemMX4I0tkPo7M-dHpsBtv5788vbeMQrBr3a9Y76b31q8z6bDu6wWLTrI1LSBz73u2yZi0T5M3w3oXXbIwTdzDO2VX6kMl9jafoqJUumrPfPkcvd7fPiwe8fLp_XFwvcUNJNWCji9aoghLGeM25VqylZaol4bVSSrdtpSVvuCFVCclV3kpQNc2JpgoUbekcXUx3k6O30cRBbLox-PRSkBoKYISXZWKRidWELsZgWtEHu5VhJwiIfa5iylWkXMU-V5EnTT5pYuL6lQl_Lv8r-gHZbX9h</recordid><startdate>20170601</startdate><enddate>20170601</enddate><creator>Prasad, T. V. S. R. K.</creator><creator>Srinivas, Kolla</creator><creator>Srinivas, C.</creator><general>Springer India</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TB</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</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>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K8~</scope><scope>L.-</scope><scope>L6V</scope><scope>M0C</scope><scope>M7S</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>20170601</creationdate><title>Decentralized production–distribution planning in multi-echelon supply chain network using intelligent agents</title><author>Prasad, T. V. S. R. K. ; Srinivas, Kolla ; Srinivas, C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-ed4feb431778988db7f35db75189bbbdff6da8c8e16508872fa0b9321d3b0b3f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Application Article</topic><topic>Business and Management</topic><topic>Distribution planning</topic><topic>Integrated approach</topic><topic>Intelligent agents</topic><topic>Management</topic><topic>Mathematics</topic><topic>Operations research</topic><topic>Operations Research/Decision Theory</topic><topic>Supply chains</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Prasad, T. V. S. R. K.</creatorcontrib><creatorcontrib>Srinivas, Kolla</creatorcontrib><creatorcontrib>Srinivas, C.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Mechanical & 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>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</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>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>DELNET Management Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global</collection><collection>Engineering Database</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>Opsearch</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Prasad, T. V. S. R. K.</au><au>Srinivas, Kolla</au><au>Srinivas, C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Decentralized production–distribution planning in multi-echelon supply chain network using intelligent agents</atitle><jtitle>Opsearch</jtitle><stitle>OPSEARCH</stitle><date>2017-06-01</date><risdate>2017</risdate><volume>54</volume><issue>2</issue><spage>217</spage><epage>232</epage><pages>217-232</pages><issn>0030-3887</issn><eissn>0975-0320</eissn><abstract>The difference between integrated supply chain and decentralized supply chain is that in integrated supply chain, all the channel partners i.e., suppliers, manufacturers, transport providers, warehouse owners Will cooperate with each other and share the information on costs, capacities etc., to other partners with a view to reduce the overall supply chain cost. In decentralized supply chains, the channel partners will not share information with other partners for fear of distrust, losing their grip in their own domain. In decentralized supply chain systems, each entity (manufacturers, transporters etc.) is modeled as autonomous agent. Each autonomous agent has an objective and a set of constraints. All agents working together will develop feasible plans which are acceptable to all entities. In this paper a “Decentralized production–distribution planning in multi-echelon supply chain network using intelligent agents” model has been proposed and validated.</abstract><cop>New Delhi</cop><pub>Springer India</pub><doi>10.1007/s12597-016-0277-2</doi><tpages>16</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0030-3887 |
ispartof | Opsearch, 2017-06, Vol.54 (2), p.217-232 |
issn | 0030-3887 0975-0320 |
language | eng |
recordid | cdi_proquest_journals_1904071855 |
source | Springer Nature - Complete Springer Journals |
subjects | Application Article Business and Management Distribution planning Integrated approach Intelligent agents Management Mathematics Operations research Operations Research/Decision Theory Supply chains |
title | Decentralized production–distribution planning in multi-echelon supply chain network using intelligent agents |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T15%3A42%3A02IST&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=Decentralized%20production%E2%80%93distribution%20planning%20in%20multi-echelon%20supply%20chain%20network%20using%20intelligent%20agents&rft.jtitle=Opsearch&rft.au=Prasad,%20T.%20V.%20S.%20R.%20K.&rft.date=2017-06-01&rft.volume=54&rft.issue=2&rft.spage=217&rft.epage=232&rft.pages=217-232&rft.issn=0030-3887&rft.eissn=0975-0320&rft_id=info:doi/10.1007/s12597-016-0277-2&rft_dat=%3Cproquest_cross%3E1904071855%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1904071855&rft_id=info:pmid/&rfr_iscdi=true |