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A study of demand stochasticity in service network design

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A study of demand stochasticity in service network design. / Lium, Arnt-Gunnar; Crainic, Teodor G; Wallace, Stein W.
In: Transportation Science, Vol. 43, No. 2, 05.2009, p. 144-157.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Lium, A-G, Crainic, TG & Wallace, SW 2009, 'A study of demand stochasticity in service network design', Transportation Science, vol. 43, no. 2, pp. 144-157. https://doi.org/10.1287/trsc.1090.0265

APA

Lium, A.-G., Crainic, T. G., & Wallace, S. W. (2009). A study of demand stochasticity in service network design. Transportation Science, 43(2), 144-157. https://doi.org/10.1287/trsc.1090.0265

Vancouver

Lium AG, Crainic TG, Wallace SW. A study of demand stochasticity in service network design. Transportation Science. 2009 May;43(2):144-157. doi: 10.1287/trsc.1090.0265

Author

Lium, Arnt-Gunnar ; Crainic, Teodor G ; Wallace, Stein W. / A study of demand stochasticity in service network design. In: Transportation Science. 2009 ; Vol. 43, No. 2. pp. 144-157.

Bibtex

@article{49920fe4b81341fa8cf0fffd5fde99e3,
title = "A study of demand stochasticity in service network design",
abstract = "The objective of this paper is to investigate the importance of introducing stochastic elements into service network design formulations. To offer insights into this issue, we take a basic version of the problem in which periodic schedules are built for a number of vehicles and where only the demand may vary stochastically. We study how solutions based on uncertain demand differ from solutions based on deterministic demand and provide qualitative descriptions of the structural differences. Some of these structural differences provide a hedge against uncertainty by using consolidation. This way we get consolidation as output from the model rather than as an a priori required property. Service networks with such properties are robust, as seen by the customers, by providing operational flexibility.",
keywords = "stochastic programming, service network design , scheduling , flexibility , robustness",
author = "Arnt-Gunnar Lium and Crainic, {Teodor G} and Wallace, {Stein W}",
year = "2009",
month = may,
doi = "10.1287/trsc.1090.0265",
language = "English",
volume = "43",
pages = "144--157",
journal = "Transportation Science",
issn = "1526-5447",
publisher = "INFORMS",
number = "2",

}

RIS

TY - JOUR

T1 - A study of demand stochasticity in service network design

AU - Lium, Arnt-Gunnar

AU - Crainic, Teodor G

AU - Wallace, Stein W

PY - 2009/5

Y1 - 2009/5

N2 - The objective of this paper is to investigate the importance of introducing stochastic elements into service network design formulations. To offer insights into this issue, we take a basic version of the problem in which periodic schedules are built for a number of vehicles and where only the demand may vary stochastically. We study how solutions based on uncertain demand differ from solutions based on deterministic demand and provide qualitative descriptions of the structural differences. Some of these structural differences provide a hedge against uncertainty by using consolidation. This way we get consolidation as output from the model rather than as an a priori required property. Service networks with such properties are robust, as seen by the customers, by providing operational flexibility.

AB - The objective of this paper is to investigate the importance of introducing stochastic elements into service network design formulations. To offer insights into this issue, we take a basic version of the problem in which periodic schedules are built for a number of vehicles and where only the demand may vary stochastically. We study how solutions based on uncertain demand differ from solutions based on deterministic demand and provide qualitative descriptions of the structural differences. Some of these structural differences provide a hedge against uncertainty by using consolidation. This way we get consolidation as output from the model rather than as an a priori required property. Service networks with such properties are robust, as seen by the customers, by providing operational flexibility.

KW - stochastic programming

KW - service network design

KW - scheduling

KW - flexibility

KW - robustness

U2 - 10.1287/trsc.1090.0265

DO - 10.1287/trsc.1090.0265

M3 - Journal article

VL - 43

SP - 144

EP - 157

JO - Transportation Science

JF - Transportation Science

SN - 1526-5447

IS - 2

ER -