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A typology and literature review on stochastic multi-echelon inventory models

URN to cite this document: urn:nbn:de:bvb:703-epub-3587-5

Title data

de Kok, Ton ; Grob, Christopher ; Laumanns, Marco ; Minner, Stefan ; Rambau, Jörg ; Schade, Konrad:
A typology and literature review on stochastic multi-echelon inventory models.
Bayreuth , 2018 . - 63 S.

Format:	PDF
Name:	SCM-MPC_master.pdf
Version:	Accepted Version
Available under License	Creative Commons BY-NC-ND 4.0: Attribution, Noncommercial, No Derivative Works

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Abstract

We develop a typology for multi-echelon inventory management. The typology is used to classify and review the extensive research of multi-echelon inventory management under uncertain demand. We identify clusters of model assumptions, research goals and applied methodologies. Based on this review, existing research gaps and avenues for further research are proposed.

Further data

Item Type:	Preprint, postprint
Additional notes (visible to public):	erschienen in: European Journal of Operational Research. Bd. 269 (2018) Heft 3 . - S. 955-983. DOI: https://doi.org/10.1016/j.ejor.2018.02.047
Keywords:	supply chain management
Subject classification:	MSC2000 90B05
DDC Subjects:	500 Science > 510 Mathematics
Institutions of the University:	Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematical Economics Research Institutions > Central research institutes > Bayreuth Research Center for Modeling and Simulation - MODUS Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics Research Institutions Research Institutions > Central research institutes
Language:	English
Originates at UBT:	Yes
URN:	urn:nbn:de:bvb:703-epub-3587-5
Date Deposited:	15 Mar 2018 10:23
Last Modified:	17 May 2021 08:34
URI:	https://epub.uni-bayreuth.de/id/eprint/3587

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