Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 498406
Title A sample-based method for perishable good inventory control with a service level constraint
Author(s) Hendrix, Eligius M.T.; Pauls-Worm, Karin G.J.; Rossi, Roberto; Alcoba, Alejandro G.; Haijema, Rene
Source In: Computational Logistics. - Springer Verlag (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ) - ISBN 9783319242637 - p. 526 - 540.
Event 6th International Conference on Computational Logistics, ICCL 2015, Delft, 2015-09-23/2015-09-25
DOI http://dx.doi.org/10.1007/978-3-319-24264-4_36
Department(s) Operations Research and Logistics
WASS
Wageningen Business School
Publication type Peer reviewed book chapter
Publication year 2015
Keyword(s) Chance constraint - Inventory control - MINLP - Monte carlo - Perishable products
Abstract

This paper studies the computation of so-called order-upto levels for a stochastic programming inventory problem of a perishable product. Finding a solution is a challenge as the problem enhances a perishable product, fixed ordering cost and non-stationary stochastic demand with a service level constraint. An earlier study [7] derived order-up-to values via an MILP approximation. We consider a computational method based on the so-called Smoothed Monte Carlo method using sampled demand to optimize values. The resulting MINLP approach uses enumeration, bounding and iterative nonlinear optimization.

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