Demand Uncertainty for the Location-Routing Problem with Two-dimensional Loading Constraints

Thiago Alves Queiroz (), José Fernando Oliveira (), Maria Antónia Carravilla () and Flávio Keidi Miyazawa ()
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Thiago Alves Queiroz: University of Porto
José Fernando Oliveira: University of Porto
Maria Antónia Carravilla: University of Porto
Flávio Keidi Miyazawa: State University of Campinas

A chapter in Computational Management Science, 2016, pp 47-53 from Springer

Abstract: Abstract In this work, we investigate the location-routing problem with two-dimensional loading constraints under uncertainty on customer’s demand. Uncertainty on the demand is modeled by a scenario approach in order to get a solution satisfying all the scenarios. An integer programming model concerning decisions on strategic (depot locations), tactical (what customers are served by each depot) and operational levels (routes from depots to customers including the two-dimensional arrangement of items) is proposed. A cut is inserted whenever an infeasible packing is found and the model is applied to solve one real case based example considering three different scenarios.

Keywords: Supply Chain; Fixed Cost; Valid Inequality; Demand Uncertainty; Integer Programming Model (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnechp:978-3-319-20430-7_7

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DOI: 10.1007/978-3-319-20430-7_7

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