Jurnal
SINTA 1
Stock Pre-positioning Model with Unsatisfied Relief Demand Constraint to Support Emergency Response
Operations and Supply Chain Management: An International Journal (2014) · pp. 103–110
ISSN 2579-9363
Published 2014-12-04
Publisher OSCM Forum
Collaboration network of the authors
5 authors ·
7 co-authorship links
· 5 across different organisations
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Nagoya Institute of Technology Pukyong National University Incheon National University
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Co-author Organisation Joint articles
Syed Mithun Ali Nagoya Institute of Technology 1
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This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.
Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2579-9363/works,
first harvested 29 Okt 2026,
last seen 29 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Stock Pre-positioning Model with Unsatisfied Relief Demand Constraint to Support Emergency Response</dc:title><dc:creator>Opit, Prudensy Febreine</dc:creator><dc:creator>Lee, Woon-Seek</dc:creator><dc:creator>Kim, Byung Soo</dc:creator><dc:creator>Nakade, Koichi</dc:creator><dc:publisher>OSCM Forum</dc:publisher><dc:date>2014-12-04</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:identifier>https://doi.org/10.31387/oscm0150095</dc:identifier><dc:identifier>10.31387/oscm0150095</dc:identifier><dc:source>Operations and Supply Chain Management: An International Journal; (2014); 103-110</dc:source><dc:source>2579-9363</dc:source></oai_dc:dc>
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Cite this article
APA 7
Opit, P. F., Lee, W. S., Kim, B. S., & Nakade, K. (2014). Stock Pre-positioning Model with Unsatisfied Relief Demand Constraint to Support Emergency Response. Operations and Supply Chain Management: An International Journal, 103–110. https://doi.org/10.31387/oscm0150095
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IEEE
P. F. Opit, W. S. Lee, B. S. Kim, and K. Nakade, “Stock Pre-positioning Model with Unsatisfied Relief Demand Constraint to Support Emergency Response,” Operations and Supply Chain Management: An International Journal, pp. 103–110, 2014, doi: 10.31387/oscm0150095.
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