An Algorithm for Production Planning Based on Supply Chain KPIs
This paper observe multi-period multi-product production planning problem in make-to-stock production environment with limited production capacity. Such problem is identified in Fast Moving Consumer Goods industry. The goal was to develop an algorithm for supporting dynamic production triggering dec...
Gespeichert in:
| Veröffentlicht in: | International Journal of Computers Communications & Control 2014-12, Vol.9 (6), p.711 |
|---|---|
| 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 | 6 |
| container_start_page | 711 |
| container_title | International Journal of Computers Communications & Control |
| container_volume | 9 |
| creator | Makajić-Nikolić, Dragana Babarogić, Sladjan Lečić-Cvetković, Danica Atanasov, Nikola |
| description | This paper observe multi-period multi-product production planning problem in make-to-stock production environment with limited production capacity. Such problem is identified in Fast Moving Consumer Goods industry. The goal was to develop an algorithm for supporting dynamic production triggering decisions in relation with two supply chain key performance indicators: stock cover and customer service level. The presented approach is applied to a real example in several scenarios based on different decision criteria. |
| doi_str_mv | 10.15837/ijccc.2014.6.1476 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2518380412</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2518380412</sourcerecordid><originalsourceid>FETCH-LOGICAL-c226t-3ae6aadfc3af80c766abf3f95972e4718e5c1bade506e70ace5665431e434d333</originalsourceid><addsrcrecordid>eNpNkEtLAzEAhIMoWLR_wFPA8655Jz1JLT6KBQvqOaTZpE3ZJmuye-i_tw8PnmYYhhn4ALjDqMZcUfkQttbamiDMalFjJsUFGGHFcDVRVFz-89dgXEpYIUoo4kLJEXicRjht1ymHfrODPmW4zKkZbB9ShMvWxBjiGj6Z4hp4SD6Hrmv3cLYxIcL35bzcgitv2uLGf3oDvl-ev2Zv1eLjdT6bLipLiOgrapwwpvGWGq-QlUKYlad-wieSOCaxctzilWkcR8JJZKzjQnBGsWOUNZTSG3B_3u1y-hlc6fU2DTkeLjXhWFGFGCaHFjm3bE6lZOd1l8PO5L3GSJ9Y6RMrfWSlhT6yor_ldFya</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2518380412</pqid></control><display><type>article</type><title>An Algorithm for Production Planning Based on Supply Chain KPIs</title><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Makajić-Nikolić, Dragana ; Babarogić, Sladjan ; Lečić-Cvetković, Danica ; Atanasov, Nikola</creator><creatorcontrib>Makajić-Nikolić, Dragana ; Babarogić, Sladjan ; Lečić-Cvetković, Danica ; Atanasov, Nikola</creatorcontrib><description>This paper observe multi-period multi-product production planning problem in make-to-stock production environment with limited production capacity. Such problem is identified in Fast Moving Consumer Goods industry. The goal was to develop an algorithm for supporting dynamic production triggering decisions in relation with two supply chain key performance indicators: stock cover and customer service level. The presented approach is applied to a real example in several scenarios based on different decision criteria.</description><identifier>ISSN: 1841-9836</identifier><identifier>EISSN: 1841-9836</identifier><identifier>EISSN: 1841-9844</identifier><identifier>DOI: 10.15837/ijccc.2014.6.1476</identifier><language>eng</language><publisher>Oradea: Agora University of Oradea</publisher><subject>Algorithms ; Consumer goods ; Customer services ; Fast moving consumer goods ; Production capacity ; Production planning ; Supply chains</subject><ispartof>International Journal of Computers Communications & Control, 2014-12, Vol.9 (6), p.711</ispartof><rights>2014. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><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>314,780,784,864,27922,27923</link.rule.ids></links><search><creatorcontrib>Makajić-Nikolić, Dragana</creatorcontrib><creatorcontrib>Babarogić, Sladjan</creatorcontrib><creatorcontrib>Lečić-Cvetković, Danica</creatorcontrib><creatorcontrib>Atanasov, Nikola</creatorcontrib><title>An Algorithm for Production Planning Based on Supply Chain KPIs</title><title>International Journal of Computers Communications & Control</title><description>This paper observe multi-period multi-product production planning problem in make-to-stock production environment with limited production capacity. Such problem is identified in Fast Moving Consumer Goods industry. The goal was to develop an algorithm for supporting dynamic production triggering decisions in relation with two supply chain key performance indicators: stock cover and customer service level. The presented approach is applied to a real example in several scenarios based on different decision criteria.</description><subject>Algorithms</subject><subject>Consumer goods</subject><subject>Customer services</subject><subject>Fast moving consumer goods</subject><subject>Production capacity</subject><subject>Production planning</subject><subject>Supply chains</subject><issn>1841-9836</issn><issn>1841-9836</issn><issn>1841-9844</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpNkEtLAzEAhIMoWLR_wFPA8655Jz1JLT6KBQvqOaTZpE3ZJmuye-i_tw8PnmYYhhn4ALjDqMZcUfkQttbamiDMalFjJsUFGGHFcDVRVFz-89dgXEpYIUoo4kLJEXicRjht1ymHfrODPmW4zKkZbB9ShMvWxBjiGj6Z4hp4SD6Hrmv3cLYxIcL35bzcgitv2uLGf3oDvl-ev2Zv1eLjdT6bLipLiOgrapwwpvGWGq-QlUKYlad-wieSOCaxctzilWkcR8JJZKzjQnBGsWOUNZTSG3B_3u1y-hlc6fU2DTkeLjXhWFGFGCaHFjm3bE6lZOd1l8PO5L3GSJ9Y6RMrfWSlhT6yor_ldFya</recordid><startdate>20141201</startdate><enddate>20141201</enddate><creator>Makajić-Nikolić, Dragana</creator><creator>Babarogić, Sladjan</creator><creator>Lečić-Cvetković, Danica</creator><creator>Atanasov, Nikola</creator><general>Agora University of Oradea</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20141201</creationdate><title>An Algorithm for Production Planning Based on Supply Chain KPIs</title><author>Makajić-Nikolić, Dragana ; Babarogić, Sladjan ; Lečić-Cvetković, Danica ; Atanasov, Nikola</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c226t-3ae6aadfc3af80c766abf3f95972e4718e5c1bade506e70ace5665431e434d333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Algorithms</topic><topic>Consumer goods</topic><topic>Customer services</topic><topic>Fast moving consumer goods</topic><topic>Production capacity</topic><topic>Production planning</topic><topic>Supply chains</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Makajić-Nikolić, Dragana</creatorcontrib><creatorcontrib>Babarogić, Sladjan</creatorcontrib><creatorcontrib>Lečić-Cvetković, Danica</creatorcontrib><creatorcontrib>Atanasov, Nikola</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content Database</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><jtitle>International Journal of Computers Communications & Control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Makajić-Nikolić, Dragana</au><au>Babarogić, Sladjan</au><au>Lečić-Cvetković, Danica</au><au>Atanasov, Nikola</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Algorithm for Production Planning Based on Supply Chain KPIs</atitle><jtitle>International Journal of Computers Communications & Control</jtitle><date>2014-12-01</date><risdate>2014</risdate><volume>9</volume><issue>6</issue><spage>711</spage><pages>711-</pages><issn>1841-9836</issn><eissn>1841-9836</eissn><eissn>1841-9844</eissn><abstract>This paper observe multi-period multi-product production planning problem in make-to-stock production environment with limited production capacity. Such problem is identified in Fast Moving Consumer Goods industry. The goal was to develop an algorithm for supporting dynamic production triggering decisions in relation with two supply chain key performance indicators: stock cover and customer service level. The presented approach is applied to a real example in several scenarios based on different decision criteria.</abstract><cop>Oradea</cop><pub>Agora University of Oradea</pub><doi>10.15837/ijccc.2014.6.1476</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1841-9836 |
| ispartof | International Journal of Computers Communications & Control, 2014-12, Vol.9 (6), p.711 |
| issn | 1841-9836 1841-9836 1841-9844 |
| language | eng |
| recordid | cdi_proquest_journals_2518380412 |
| source | DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals |
| subjects | Algorithms Consumer goods Customer services Fast moving consumer goods Production capacity Production planning Supply chains |
| title | An Algorithm for Production Planning Based on Supply Chain KPIs |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T23%3A35%3A14IST&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=An%20Algorithm%20for%20Production%20Planning%20Based%20on%20Supply%20Chain%20KPIs&rft.jtitle=International%20Journal%20of%20Computers%20Communications%20&%20Control&rft.au=Makaji%C4%87-Nikoli%C4%87,%20Dragana&rft.date=2014-12-01&rft.volume=9&rft.issue=6&rft.spage=711&rft.pages=711-&rft.issn=1841-9836&rft.eissn=1841-9836&rft_id=info:doi/10.15837/ijccc.2014.6.1476&rft_dat=%3Cproquest_cross%3E2518380412%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=2518380412&rft_id=info:pmid/&rfr_iscdi=true |