Stochastic Inventory Routing for Perishable Products

Crama, Yves; Rezaei Sadrabadi, Mahmood; Savelsbergh, Martin; Van Woensel, Tom

doi:10.1287/trsc.2017.0799

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Stochastic Inventory Routing for Perishable Products

Crama, Yves; Rezaei Sadrabadi, Mahmood; Savelsbergh, Martin et al.

2018 • In Transportation Science, 52 (3), p. 526-546

Peer Reviewed verified by ORBi

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https://hdl.handle.net/2268/213243

DOI
10.1287/trsc.2017.0799

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Keywords :

inventory routing problem; perishable inventory system; perishable inventory routing; stochastic inventory routing

Abstract :

[en] Different solution methods are developed to solve an inventory routing problem for a perishable product with stochastic demands. The solution methods are compared empirically in terms of average profit, service level, and actual freshness. The benefits of explicitly considering demand uncertainty are quantified. The computational study highlights that in certain situations a simple ordering policy can already reach a very good performance, but that statistically and economically significant improvements are achieved when using more advanced solution methods. Managerial insights concerning the impact of shelf life and store capacity on profit are also obtained.

Research center :

QuantOM - HEC

Disciplines :

Production, distribution & supply chain management
Quantitative methods in economics & management

Author, co-author :

Crama, Yves ; Université de Liège > HEC Liège : UER > Recherche opérationnelle et gestion de la production

Rezaei Sadrabadi, Mahmood ; Université de Liège > HEC Liège : UER > Recherche opérationnelle et gestion de la production

Savelsbergh, Martin

Van Woensel, Tom

Language :

English

Title :

Stochastic Inventory Routing for Perishable Products

Publication date :

2018

Journal title :

Transportation Science

ISSN :

0041-1655

eISSN :

1526-5447

Publisher :

INFORMS: Institute for Operations Research

Volume :

Issue :

Pages :

526-546

Peer reviewed :

Peer Reviewed verified by ORBi

Name of the research project :

PAI P7/36 Comex

Funders :

BELSPO - SPP Politique scientifique - Service Public Fédéral de Programmation Politique scientifique

Commentary :

Published online as "Articles in advance".

Available on ORBi :

since 30 July 2017

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