The Stochastic Transportation Problem With Single Sourcing
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Date
2011
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Science Bv
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
We propose a branch-and-price algorithm for solving a class of stochastic transportation problems with single-sourcing constraints. Our approach allows for general demand distributions, nonlinear cost structures, and capacity expansion opportunities. The pricing problem is a knapsack problem with variable item sizes and concave costs that is interesting in its own right. We perform an extensive set of computational experiments illustrating the efficacy of our approach. In addition, we study the cost of the single-sourcing constraints. (C) 2011 Elsevier B.V. All rights reserved.
Description
Keywords
Transportation problem, Random demands, Nonlinear costs, Price Algorithm, Model, transportation problem, Transportation, logistics and supply chain management, Polyhedral combinatorics, branch-and-bound, branch-and-cut, Stochastic programming, nonlinear costs, random demands
Fields of Science
0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
11
Source
European Journal of Operatıonal Research
Volume
214
Issue
2
Start Page
262
End Page
272
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Citations
CrossRef : 6
Scopus : 14
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Mendeley Readers : 23
SCOPUS™ Citations
14
checked on Mar 16, 2026
Web of Science™ Citations
13
checked on Mar 16, 2026
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