Feasibility principles for downstream demand inference in supply chains

M.M. Ali; J.E. Boylan

doi:10.1057/jors.2010.82

Feasibility principles for downstream demand inference in supply chains

M.M. Ali, J.E. Boylan

School of Strategy and Leadership

Research output: Contribution to journal › Article › peer-review

25 Citations (Scopus)

Original language	English
Pages (from-to)	474-482
Number of pages	9
Journal	Journal of the Operational Research Society
Volume	62
Issue number	3
DOIs	https://doi.org/10.1057/jors.2010.82
Publication status	Published - Mar 2011

Keywords

ARIMA modeling
Bullwhip effect
Downstream Demand Inference
Information sharing
Supply chain management

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10.1057/jors.2010.82

https://www.scopus.com/inward/record.uri?eid=2-s2.0-79951612699&doi=10.1057%2fjors.2010.82&partnerID=40&md5=40bec46d5ef4fa776858fedcfccf0bf4

Cite this

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title = "Feasibility principles for downstream demand inference in supply chains",

keywords = "ARIMA modeling, Bullwhip effect, Downstream Demand Inference, Information sharing, Supply chain management",

author = "M.M. Ali and J.E. Boylan",

year = "2011",

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doi = "10.1057/jors.2010.82",

language = "English",

volume = "62",

pages = "474--482",

journal = "Journal of the Operational Research Society",

issn = "1476-9360",

publisher = "Palgrave Macmillan",

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AU - Boylan, J.E.

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KW - Bullwhip effect

KW - Downstream Demand Inference

KW - Information sharing

KW - Supply chain management

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DO - 10.1057/jors.2010.82

M3 - Article

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VL - 62

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EP - 482

JO - Journal of the Operational Research Society

JF - Journal of the Operational Research Society

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