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Dynamic optimizing of cycle service level in quick respond for strategic fit of supply chain
Optimal cycle service level and replenishment policy is analyzed from single order to multiorder policy in quick response. The analysis shows that, in single order policy, service level of overstock cost shared is higher than not shared. In multiorder policy, the level keeps higher in the beginning...
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creator | Xiu-Sen Li Shao-Rong Sun |
description | Optimal cycle service level and replenishment policy is analyzed from single order to multiorder policy in quick response. The analysis shows that, in single order policy, service level of overstock cost shared is higher than not shared. In multiorder policy, the level keeps higher in the beginning of the season, stable in the following orders, and lower at the end of the season. The level in multiorder is higher than that in single order if the seller places more orders enough in the season. The dynamic optimizing of cycle service level achieves strategic fit between competitive and supply chain strategies over sales season's life cycle, which benefits the whole supply chain. |
doi_str_mv | 10.1109/ICMLC.2005.1527578 |
format | conference_proceeding |
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The analysis shows that, in single order policy, service level of overstock cost shared is higher than not shared. In multiorder policy, the level keeps higher in the beginning of the season, stable in the following orders, and lower at the end of the season. The level in multiorder is higher than that in single order if the seller places more orders enough in the season. The dynamic optimizing of cycle service level achieves strategic fit between competitive and supply chain strategies over sales season's life cycle, which benefits the whole supply chain.</description><identifier>ISSN: 2160-133X</identifier><identifier>ISBN: 0780390911</identifier><identifier>ISBN: 9780780390911</identifier><identifier>DOI: 10.1109/ICMLC.2005.1527578</identifier><language>eng</language><publisher>IEEE</publisher><subject>Costs ; Cycle service level ; Delay ; Information science ; Marketing and sales ; Mathematics ; quick response ; sales season life cycle ; strategic fit ; Sun ; supply chain ; Supply chain management ; Supply chains ; Technology management ; Uncertainty</subject><ispartof>2005 International Conference on Machine Learning and Cybernetics, 2005, Vol.6, p.3668-3673 Vol. 6</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1527578$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54555,54920,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1527578$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Xiu-Sen Li</creatorcontrib><creatorcontrib>Shao-Rong Sun</creatorcontrib><title>Dynamic optimizing of cycle service level in quick respond for strategic fit of supply chain</title><title>2005 International Conference on Machine Learning and Cybernetics</title><addtitle>ICMLC</addtitle><description>Optimal cycle service level and replenishment policy is analyzed from single order to multiorder policy in quick response. The analysis shows that, in single order policy, service level of overstock cost shared is higher than not shared. In multiorder policy, the level keeps higher in the beginning of the season, stable in the following orders, and lower at the end of the season. The level in multiorder is higher than that in single order if the seller places more orders enough in the season. The dynamic optimizing of cycle service level achieves strategic fit between competitive and supply chain strategies over sales season's life cycle, which benefits the whole supply chain.</description><subject>Costs</subject><subject>Cycle service level</subject><subject>Delay</subject><subject>Information science</subject><subject>Marketing and sales</subject><subject>Mathematics</subject><subject>quick response</subject><subject>sales season life cycle</subject><subject>strategic fit</subject><subject>Sun</subject><subject>supply chain</subject><subject>Supply chain management</subject><subject>Supply chains</subject><subject>Technology management</subject><subject>Uncertainty</subject><issn>2160-133X</issn><isbn>0780390911</isbn><isbn>9780780390911</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotkMtOwzAQRS0BEqX0B2DjH0iZiWM7WaLwqlTEBiQWSJWZjIshTUKcVgpfTxG9m7M6Z3GFuECYI0JxtSgfl-U8BdBz1KnVNj8SZ2BzUAUUiMdikqKBBJV6PRWzGD9hP1Voo2Ai3m7Gxm0CybYbwib8hGYtWy9ppJpl5H4XiGXNO65laOT3NtCX7Dl2bVNJ3_YyDr0beL0P-DD8mXHbdfUo6cOF5lyceFdHnh04FS93t8_lQ7J8ul-U18skIOgh8Zl-N6bKCp17C5Rqb4lzcsTsMvIGdeHQgkFFChg924rRYaZMTmidUlNx-d8NzLzq-rBx_bg6nKF-AY5hVLg</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Xiu-Sen Li</creator><creator>Shao-Rong Sun</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2005</creationdate><title>Dynamic optimizing of cycle service level in quick respond for strategic fit of supply chain</title><author>Xiu-Sen Li ; Shao-Rong Sun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i105t-f45b66d4958f70c25f7ce8caceea4cf6159a170613c30e1fe7de1a14368c17a33</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Costs</topic><topic>Cycle service level</topic><topic>Delay</topic><topic>Information science</topic><topic>Marketing and sales</topic><topic>Mathematics</topic><topic>quick response</topic><topic>sales season life cycle</topic><topic>strategic fit</topic><topic>Sun</topic><topic>supply chain</topic><topic>Supply chain management</topic><topic>Supply chains</topic><topic>Technology management</topic><topic>Uncertainty</topic><toplevel>online_resources</toplevel><creatorcontrib>Xiu-Sen Li</creatorcontrib><creatorcontrib>Shao-Rong Sun</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library Online</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Xiu-Sen Li</au><au>Shao-Rong Sun</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Dynamic optimizing of cycle service level in quick respond for strategic fit of supply chain</atitle><btitle>2005 International Conference on Machine Learning and Cybernetics</btitle><stitle>ICMLC</stitle><date>2005</date><risdate>2005</risdate><volume>6</volume><spage>3668</spage><epage>3673 Vol. 6</epage><pages>3668-3673 Vol. 6</pages><issn>2160-133X</issn><isbn>0780390911</isbn><isbn>9780780390911</isbn><abstract>Optimal cycle service level and replenishment policy is analyzed from single order to multiorder policy in quick response. The analysis shows that, in single order policy, service level of overstock cost shared is higher than not shared. In multiorder policy, the level keeps higher in the beginning of the season, stable in the following orders, and lower at the end of the season. The level in multiorder is higher than that in single order if the seller places more orders enough in the season. The dynamic optimizing of cycle service level achieves strategic fit between competitive and supply chain strategies over sales season's life cycle, which benefits the whole supply chain.</abstract><pub>IEEE</pub><doi>10.1109/ICMLC.2005.1527578</doi></addata></record> |
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ispartof | 2005 International Conference on Machine Learning and Cybernetics, 2005, Vol.6, p.3668-3673 Vol. 6 |
issn | 2160-133X |
language | eng |
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source | IEEE Xplore All Conference Series |
subjects | Costs Cycle service level Delay Information science Marketing and sales Mathematics quick response sales season life cycle strategic fit Sun supply chain Supply chain management Supply chains Technology management Uncertainty |
title | Dynamic optimizing of cycle service level in quick respond for strategic fit of supply chain |
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