Joint location and assignment optimization of multi‐type fire vehicles
Joint location and assignment optimization of multi‐type fire vehicles
复制标题
多类型消防车联合定位与调度优化
DOI:
10.1111/mice.12774
复制
发表时间:
2022
影响因子:
9.6
通讯作者:
Xie, Siyang
中科院分区:
文献类型:
--
作者:
Liu, Han;Soleimaniamiri, Saeid;Li, Xiaopeng;Xie, Siyang
Fire service quality relies on fast response and cooperation of various types of responders to maintain efficient operations and reliable rescue services. This paper investigates a joint location and assignment optimization (JLAO) problem, where fire vehicles from different fire stations can be dispatched jointly as a cooperative unit in a fire rescue operation. We first propose a mixed integer non‐linear program to optimize the station location and vehicle assignment decisions, aiming to minimize the total system cost including facility construction, operations cost, and fire damage losses. We proposed a Stingy‐Interchange (SI) algorithm to efficiently solve this problem to a near‐optimal solution. The JLAO model and the proposed solution method are then applied to hypothetical instances with different sizes and parameter settings to compare the performance of the SI algorithm with a commercial solver (Gurobi). An empirical case study on a major city is conducted to reveal insights on how cost measures are affected by key parameters.
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DOI:
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发表时间:
2002
期刊:
--
影响因子:
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作者:
M. Karter
通讯作者:
M. Karter
DOI:
--
发表时间:
2016
期刊:
影响因子:
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DOI:
10.1111/mice.12384
发表时间:
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期刊:
Computer‐Aided Civil and Infrastructure Engineering
影响因子:
--
作者:
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影响因子:
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作者:
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通讯作者:
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DOI:
--
发表时间:
2013
期刊:
Comput. Aided Civ. Infrastructure Eng.
影响因子:
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作者:
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