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Modelling and analysis of uncertain time-critical tasking problems.

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Modelling and analysis of uncertain time-critical tasking problems. / Gaver, Donald; Jacobs, Patricia A.; Samorodnitsky, Gennady et al.
In: Naval Research Logistics, Vol. 53, No. 6, 09.2006, p. 588-599.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Gaver, D, Jacobs, PA, Samorodnitsky, G & Glazebrook, KD 2006, 'Modelling and analysis of uncertain time-critical tasking problems.', Naval Research Logistics, vol. 53, no. 6, pp. 588-599. https://doi.org/10.1002/nav.20162

APA

Gaver, D., Jacobs, P. A., Samorodnitsky, G., & Glazebrook, K. D. (2006). Modelling and analysis of uncertain time-critical tasking problems. Naval Research Logistics, 53(6), 588-599. https://doi.org/10.1002/nav.20162

Vancouver

Gaver D, Jacobs PA, Samorodnitsky G, Glazebrook KD. Modelling and analysis of uncertain time-critical tasking problems. Naval Research Logistics. 2006 Sept;53(6):588-599. doi: 10.1002/nav.20162

Author

Gaver, Donald ; Jacobs, Patricia A. ; Samorodnitsky, Gennady et al. / Modelling and analysis of uncertain time-critical tasking problems. In: Naval Research Logistics. 2006 ; Vol. 53, No. 6. pp. 588-599.

Bibtex

@article{18d828175e3541a8b6bd2b9e4d7fb696,
title = "Modelling and analysis of uncertain time-critical tasking problems.",
abstract = "This paper describes modeling and operational analysis of a generic asymmetric service-system situation in which (a) Red agents, potentially threatening, but in another but important interpretation, are isolated friendlies, such as downed pilots, that require assistance and arrive according to some partially known and potentially changing pattern in time and space; and (b) Reds have effectively limited unknown deadlines or times of availability for Blue service, i.e., detection, classification, and attack in a military setting or emergency assistance in others. We discuss various service options by Blue service agents and devise several approximations allowing one to compute efficiently those proportions of tasks of different classes that are successfully served or, more generally, if different rewards are associated with different classes of tasks, the percentage of the possible reward gained. We suggest heuristic policies for a Blue server to select the next task to perform and to decide how much time to allocate to that service. We discuss this for a number of specific examples.",
author = "Donald Gaver and Jacobs, {Patricia A.} and Gennady Samorodnitsky and Glazebrook, {Kevin D.}",
year = "2006",
month = sep,
doi = "10.1002/nav.20162",
language = "English",
volume = "53",
pages = "588--599",
journal = "Naval Research Logistics",
issn = "0894-069X",
publisher = "John Wiley and Sons Inc.",
number = "6",

}

RIS

TY - JOUR

T1 - Modelling and analysis of uncertain time-critical tasking problems.

AU - Gaver, Donald

AU - Jacobs, Patricia A.

AU - Samorodnitsky, Gennady

AU - Glazebrook, Kevin D.

PY - 2006/9

Y1 - 2006/9

N2 - This paper describes modeling and operational analysis of a generic asymmetric service-system situation in which (a) Red agents, potentially threatening, but in another but important interpretation, are isolated friendlies, such as downed pilots, that require assistance and arrive according to some partially known and potentially changing pattern in time and space; and (b) Reds have effectively limited unknown deadlines or times of availability for Blue service, i.e., detection, classification, and attack in a military setting or emergency assistance in others. We discuss various service options by Blue service agents and devise several approximations allowing one to compute efficiently those proportions of tasks of different classes that are successfully served or, more generally, if different rewards are associated with different classes of tasks, the percentage of the possible reward gained. We suggest heuristic policies for a Blue server to select the next task to perform and to decide how much time to allocate to that service. We discuss this for a number of specific examples.

AB - This paper describes modeling and operational analysis of a generic asymmetric service-system situation in which (a) Red agents, potentially threatening, but in another but important interpretation, are isolated friendlies, such as downed pilots, that require assistance and arrive according to some partially known and potentially changing pattern in time and space; and (b) Reds have effectively limited unknown deadlines or times of availability for Blue service, i.e., detection, classification, and attack in a military setting or emergency assistance in others. We discuss various service options by Blue service agents and devise several approximations allowing one to compute efficiently those proportions of tasks of different classes that are successfully served or, more generally, if different rewards are associated with different classes of tasks, the percentage of the possible reward gained. We suggest heuristic policies for a Blue server to select the next task to perform and to decide how much time to allocate to that service. We discuss this for a number of specific examples.

U2 - 10.1002/nav.20162

DO - 10.1002/nav.20162

M3 - Journal article

VL - 53

SP - 588

EP - 599

JO - Naval Research Logistics

JF - Naval Research Logistics

SN - 0894-069X

IS - 6

ER -