@inbook{a2c2e690b4cc48aca8944a60269c4d84,
title = "A sample-based method for perishable good inventory control with a service level constraint",
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.",
keywords = "Chance constraint, Inventory control, MINLP, Monte carlo, Perishable products",
author = "Hendrix, {Eligius M.T.} and Pauls-Worm, {Karin G.J.} and Roberto Rossi and Alcoba, {Alejandro G.} and Rene Haijema",
year = "2015",
doi = "10.1007/978-3-319-24264-4_36",
language = "English",
isbn = "9783319242637",
volume = "9335",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "526--540",
booktitle = "Computational Logistics",
address = "Germany",
note = "6th International Conference on Computational Logistics, ICCL 2015 ; Conference date: 23-09-2015 Through 25-09-2015",
}