A two stage statistical framework for cold start spare part demand forecasting.

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Bibliographic Details
Title: A two stage statistical framework for cold start spare part demand forecasting.
Authors: B SN; Department of Mechanical Engineering (MED), Indian Institute of Information Technology Design and Manufacturing Kurnool (IIITDM Kurnool), Kurnool, Andhra Pradesh, India.; Ford Motor Private Limited, Ford Global Technology Business Center, Chennai, Tamil Nadu, India., B VSR; Department of Mechanical Engineering (MED), Indian Institute of Information Technology Design and Manufacturing Kurnool (IIITDM Kurnool), Kurnool, Andhra Pradesh, India., Sastry C C; Department of Mechanical Engineering (MED), Indian Institute of Information Technology Design and Manufacturing Kurnool (IIITDM Kurnool), Kurnool, Andhra Pradesh, India., Salunkhe S; Department of Mechanical Engineering, Gazi University, Ankara, Turkey., Cep R; Department of Machining, Assembly and Engineering Metrology, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, Ostrava, Czech Republic., Jitpichitchai S; Ford Sales Services (Thailand) Co., Ltd., Bangkok, Thailand.
Source: PloS one [PLoS One] 2026 Jun 16; Vol. 21 (6), pp. e0350729. Date of Electronic Publication: 2026 Jun 16 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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