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Estimation of average backorders for an assemble‐to‐order system with random batch demands through extreme statistics
Author(s) -
Lu Yingdong
Publication year - 2007
Publication title -
naval research logistics (nrl)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.665
H-Index - 68
eISSN - 1520-6750
pISSN - 0894-069X
DOI - 10.1002/nav.20174
Subject(s) - computer science , order statistic , order (exchange) , measure (data warehouse) , product (mathematics) , scale (ratio) , component (thermodynamics) , econometrics , statistics , mathematical optimization , operations research , mathematics , data mining , economics , physics , geometry , finance , quantum mechanics , thermodynamics
We investigate inventory management for a large‐scale multi‐product, multi‐component Assemble‐to‐Order system with general random batch demands. Results from extreme statistics theory are applied in developing approximation schemes for a widely used performance measure, customer backorders. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2007