Please use this identifier to cite or link to this item: http://rportal.lib.ntnu.edu.tw:80/handle/20.500.12235/78960
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dc.contributor國立臺灣師範大學企業管理學系zh_TW
dc.contributor.author周世玉zh_TW
dc.contributor.authorJui-Lin Wangaen_US
dc.contributor.authorJu-Hsiu Kuoben_US
dc.contributor.authorShih-yu Choucen_US
dc.contributor.authorSheng-Zhi Wangden_US
dc.date.accessioned2016-06-03T03:04:12Z-
dc.date.available2016-06-03T03:04:12Z-
dc.date.issued2010-07-01
dc.identifierntnulib_tp_I0202_01_002
dc.identifier.issn0957-4174
dc.identifier.urihttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/78960-
dc.description.abstractIn this paper, the three Correct, MA, and EWMA Methods for series demand function model (ARiMA(1, 0, 0), ARiMA(0, 0, 1), ARiMA(1, 0, 1)) have been described, formulated, and presented to examine the influence of forecast-updating methods between order quantity and actual demand in the amplifications of bullwhip effect. By using these forecast-updating methods comparison, the optimal solution of the bullwhip effect control Policies with a time-series technique under a basic one supply chain stage perspective can be obtained. Through the comparison of the more flexible bullwhip effect control Policies, a more efficient demand function model strategy of the parameter setting, using and the integrated application method in the supply chain management procedure was decided to use. In addition, a simulated procedure and systems analysis regarding these series demand uncertainty modeling parameters will be conducted to investigate the fluctuation effects on the amplifications of bullwhip effect. The proposed method permits controlling the retailer orders’ variability above the other factors in the bullwhip effect.en_US
dc.languageen_US
dc.relationExpert Systems with Applications, 37(3), 4726-4736.en_US
dc.subject.otherTime seriesen_US
dc.subject.otherSupply chain managementen_US
dc.subject.otherSystems analysisen_US
dc.subject.otherUncertainty modelingen_US
dc.titleA comparison of bullwhip effect in a single-stage supply chain for autocorrelated demands when using Correct, MA, and EWMA methods.en_US
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