INVENTORY MANAGEMENT IN A BI-ECHELON MULTI-ITEM SUPPLY CHAIN USING AN INTEGRATED MATHEMATICAL MODEL WITH A FUZZY-ANP APPROACH
In this paper, an inventory management framework and deterministic costs models within the context of this framework are structured for effective supply chain under deterministic and fuzzy environment. In this regard, we propose a bi-echelon multi-product supply chain in which a central manufacturin...
Gespeichert in:
| Veröffentlicht in: | Annals of Faculty Engineering Hunedoara 2013-04, Vol.11 (2), p.67 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 2 |
| container_start_page | 67 |
| container_title | Annals of Faculty Engineering Hunedoara |
| container_volume | 11 |
| creator | Alimardani, M Rabbani, M Rafiei, H |
| description | In this paper, an inventory management framework and deterministic costs models within the context of this framework are structured for effective supply chain under deterministic and fuzzy environment. In this regard, we propose a bi-echelon multi-product supply chain in which a central manufacturing firm (lower echelon) with warehouse space limitation is fed through different suppliers (upper echelon). In order to develop operational measures of supply chain flexibility, a cost structure which captures some different operational cost factors such as inventory holding costs, backordering cost, ordering costs is defined. Moreover, a fuzzy-ANP framework is developed to evaluate suppliers agility to achieve a more agile and responsible network. Further, computational experiment is augmented to examine the supposed model validation as well. [PUBLICATION ABSTRACT] |
| format | Article |
| fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_1418211806</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3038181731</sourcerecordid><originalsourceid>FETCH-proquest_journals_14182118063</originalsourceid><addsrcrecordid>eNqNTM2KwjAYDIuCRX2HDzwHmlRLPX4bP5tAkoaaKvUiHtyDLOuuXY_77puDD-AcZhjm541lsswFl0UhRywTq2rJZVmuJmw-DNc8ocrFWqwz9mf8nnxs2h4ceqzJJQfGA8K74aQ02caD62w03ERysOtCsD0ojanU7YyvAX0aRKpbjLRJN1FTIqPQgms2ZOFgok6H2-547Dn6ABhC26DSMzb-OH8Ol_lTp2yxpag0_77ffh6X4fd0vT3uXyk6iaWopBBVXhavtf4BXZ9E3w</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1418211806</pqid></control><display><type>article</type><title>INVENTORY MANAGEMENT IN A BI-ECHELON MULTI-ITEM SUPPLY CHAIN USING AN INTEGRATED MATHEMATICAL MODEL WITH A FUZZY-ANP APPROACH</title><source>Directory of Open Access Journals</source><source>EZB Electronic Journals Library</source><creator>Alimardani, M ; Rabbani, M ; Rafiei, H</creator><creatorcontrib>Alimardani, M ; Rabbani, M ; Rafiei, H</creatorcontrib><description>In this paper, an inventory management framework and deterministic costs models within the context of this framework are structured for effective supply chain under deterministic and fuzzy environment. In this regard, we propose a bi-echelon multi-product supply chain in which a central manufacturing firm (lower echelon) with warehouse space limitation is fed through different suppliers (upper echelon). In order to develop operational measures of supply chain flexibility, a cost structure which captures some different operational cost factors such as inventory holding costs, backordering cost, ordering costs is defined. Moreover, a fuzzy-ANP framework is developed to evaluate suppliers agility to achieve a more agile and responsible network. Further, computational experiment is augmented to examine the supposed model validation as well. [PUBLICATION ABSTRACT]</description><identifier>ISSN: 1584-2665</identifier><identifier>EISSN: 2601-2332</identifier><language>eng</language><publisher>Hunedoara: Faculty of Engineering Hunedoara</publisher><subject>Fuzzy logic ; Integrated approach ; Inventory management ; Mathematical models ; Operations management ; Supply chains</subject><ispartof>Annals of Faculty Engineering Hunedoara, 2013-04, Vol.11 (2), p.67</ispartof><rights>Copyright Faculty of Engineering Hunedoara 2013</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780</link.rule.ids></links><search><creatorcontrib>Alimardani, M</creatorcontrib><creatorcontrib>Rabbani, M</creatorcontrib><creatorcontrib>Rafiei, H</creatorcontrib><title>INVENTORY MANAGEMENT IN A BI-ECHELON MULTI-ITEM SUPPLY CHAIN USING AN INTEGRATED MATHEMATICAL MODEL WITH A FUZZY-ANP APPROACH</title><title>Annals of Faculty Engineering Hunedoara</title><description>In this paper, an inventory management framework and deterministic costs models within the context of this framework are structured for effective supply chain under deterministic and fuzzy environment. In this regard, we propose a bi-echelon multi-product supply chain in which a central manufacturing firm (lower echelon) with warehouse space limitation is fed through different suppliers (upper echelon). In order to develop operational measures of supply chain flexibility, a cost structure which captures some different operational cost factors such as inventory holding costs, backordering cost, ordering costs is defined. Moreover, a fuzzy-ANP framework is developed to evaluate suppliers agility to achieve a more agile and responsible network. Further, computational experiment is augmented to examine the supposed model validation as well. [PUBLICATION ABSTRACT]</description><subject>Fuzzy logic</subject><subject>Integrated approach</subject><subject>Inventory management</subject><subject>Mathematical models</subject><subject>Operations management</subject><subject>Supply chains</subject><issn>1584-2665</issn><issn>2601-2332</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNTM2KwjAYDIuCRX2HDzwHmlRLPX4bP5tAkoaaKvUiHtyDLOuuXY_77puDD-AcZhjm541lsswFl0UhRywTq2rJZVmuJmw-DNc8ocrFWqwz9mf8nnxs2h4ceqzJJQfGA8K74aQ02caD62w03ERysOtCsD0ojanU7YyvAX0aRKpbjLRJN1FTIqPQgms2ZOFgok6H2-547Dn6ABhC26DSMzb-OH8Ol_lTp2yxpag0_77ffh6X4fd0vT3uXyk6iaWopBBVXhavtf4BXZ9E3w</recordid><startdate>20130401</startdate><enddate>20130401</enddate><creator>Alimardani, M</creator><creator>Rabbani, M</creator><creator>Rafiei, H</creator><general>Faculty of Engineering Hunedoara</general><scope>3V.</scope><scope>7XB</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M2O</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>20130401</creationdate><title>INVENTORY MANAGEMENT IN A BI-ECHELON MULTI-ITEM SUPPLY CHAIN USING AN INTEGRATED MATHEMATICAL MODEL WITH A FUZZY-ANP APPROACH</title><author>Alimardani, M ; Rabbani, M ; Rafiei, H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_14182118063</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Fuzzy logic</topic><topic>Integrated approach</topic><topic>Inventory management</topic><topic>Mathematical models</topic><topic>Operations management</topic><topic>Supply chains</topic><toplevel>online_resources</toplevel><creatorcontrib>Alimardani, M</creatorcontrib><creatorcontrib>Rabbani, M</creatorcontrib><creatorcontrib>Rafiei, H</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest research library</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering collection</collection><collection>ProQuest Central Basic</collection><jtitle>Annals of Faculty Engineering Hunedoara</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Alimardani, M</au><au>Rabbani, M</au><au>Rafiei, H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>INVENTORY MANAGEMENT IN A BI-ECHELON MULTI-ITEM SUPPLY CHAIN USING AN INTEGRATED MATHEMATICAL MODEL WITH A FUZZY-ANP APPROACH</atitle><jtitle>Annals of Faculty Engineering Hunedoara</jtitle><date>2013-04-01</date><risdate>2013</risdate><volume>11</volume><issue>2</issue><spage>67</spage><pages>67-</pages><issn>1584-2665</issn><eissn>2601-2332</eissn><abstract>In this paper, an inventory management framework and deterministic costs models within the context of this framework are structured for effective supply chain under deterministic and fuzzy environment. In this regard, we propose a bi-echelon multi-product supply chain in which a central manufacturing firm (lower echelon) with warehouse space limitation is fed through different suppliers (upper echelon). In order to develop operational measures of supply chain flexibility, a cost structure which captures some different operational cost factors such as inventory holding costs, backordering cost, ordering costs is defined. Moreover, a fuzzy-ANP framework is developed to evaluate suppliers agility to achieve a more agile and responsible network. Further, computational experiment is augmented to examine the supposed model validation as well. [PUBLICATION ABSTRACT]</abstract><cop>Hunedoara</cop><pub>Faculty of Engineering Hunedoara</pub><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1584-2665 |
| ispartof | Annals of Faculty Engineering Hunedoara, 2013-04, Vol.11 (2), p.67 |
| issn | 1584-2665 2601-2332 |
| language | eng |
| recordid | cdi_proquest_journals_1418211806 |
| source | Directory of Open Access Journals; EZB Electronic Journals Library |
| subjects | Fuzzy logic Integrated approach Inventory management Mathematical models Operations management Supply chains |
| title | INVENTORY MANAGEMENT IN A BI-ECHELON MULTI-ITEM SUPPLY CHAIN USING AN INTEGRATED MATHEMATICAL MODEL WITH A FUZZY-ANP APPROACH |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T13%3A38%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=INVENTORY%20MANAGEMENT%20IN%20A%20BI-ECHELON%20MULTI-ITEM%20SUPPLY%20CHAIN%20USING%20AN%20INTEGRATED%20MATHEMATICAL%20MODEL%20WITH%20A%20FUZZY-ANP%20APPROACH&rft.jtitle=Annals%20of%20Faculty%20Engineering%20Hunedoara&rft.au=Alimardani,%20M&rft.date=2013-04-01&rft.volume=11&rft.issue=2&rft.spage=67&rft.pages=67-&rft.issn=1584-2665&rft.eissn=2601-2332&rft_id=info:doi/&rft_dat=%3Cproquest%3E3038181731%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1418211806&rft_id=info:pmid/&rfr_iscdi=true |