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A Hybrid Forecasting Technique to Deal with Heteroskedastic Demand in a Supply Chain

Operations and Supply Chain Management: An International Journal (2021) · pp. 123–132

DOI
10.31387/oscm0450291
ISSN
2579-9363
Published
2021-01-09
Publisher
OSCM Forum

Collaboration network of the authors

2 authors · 1 co-authorship link · 1 across different organisations

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  • Indian Institute of Management Shillong
  • National Institute of Technology Rourkela
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

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>A Hybrid Forecasting Technique to Deal with Heteroskedastic Demand in a Supply Chain</dc:title><dc:creator>Jaipuria, Sanjita</dc:creator><dc:creator>Mahapatra, S.</dc:creator><dc:publisher>OSCM Forum</dc:publisher><dc:date>2021-01-09</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:identifier>https://doi.org/10.31387/oscm0450291</dc:identifier><dc:identifier>10.31387/oscm0450291</dc:identifier><dc:source>Operations and Supply Chain Management: An International Journal; (2021); 123-132</dc:source><dc:source>2579-9363</dc:source></oai_dc:dc>