| Title: | Alternative forecasting techniques that reduce the bullwhip effect in a supply chain : a simulation study |
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| Authors: | ID Campuzano Bolarín, Francisco (Author) ID Guillamón Frutos, Antonio (Author) ID Ruiz Abellón, Ma Del Carmen (Author) ID Lisec, Andrej (Author) |
| Files: | PROMET_2013_Campuzano-Bolarin_et_al._Alternative_Forecasting_Techniques_that_Reduce_the_Bullwhip_Effect_in_a_Supply_Chain_A_Simulation_S.pdf (938,51 KB) MD5: 1295186A5AFB03124848FF908253B85C
http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/1294
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.02 - Review Article |
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| Organization: | FL - Faculty of Logistic
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| Abstract: | The research of the Bullwhip effect has given rise to many papers, aimed at both analysing its causes and correcting it by means of various management strategies because it has been considered as one of the critical problems in a supply chain. This study is dealing with one of its principal causes, demand forecasting. Using different simulated demand patterns, alternative forecasting methods are proposed, that can reduce the Bullwhip effect in a supply chain in comparison to the traditional forecasting techniques (moving average, simple exponential smoothing, and ARMA processes). Our main findings show that kernel regression is a good alternative in order to improve important features in the supply chain, such as the Bullwhip, NSAmp, and FillRate. |
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| Keywords: | bullwhip effect, supply chain, kernel regression, system dynamics model |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Year of publishing: | 2013 |
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| Number of pages: | str. 177-188 |
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| Numbering: | Letn. 25, št. 2 |
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| PID: | 20.500.12556/DKUM-65953  |
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| ISSN: | 0353-5320 |
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| UDC: | 005.933 |
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| ISSN on article: | 0353-5320 |
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| COBISS.SI-ID: | 512497469  |
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| DOI: | 10.7307/ptt.v25i2.1294  |
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| NUK URN: | URN:SI:UM:DK:O8GHKIWX |
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| Publication date in DKUM: | 31.05.2017 |
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| Views: | 1554 |
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| Downloads: | 338 |
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| Metadata: |  |
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| Categories: | Misc.
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