Joint location and assignment optimization of multi‐type fire vehicles

Joint location and assignment optimization of multi‐type fire vehicles
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多类型消防车联合定位与调度优化

DOI:
10.1111/mice.12774
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发表时间:
2022
影响因子:
9.6
通讯作者:
Xie, Siyang
Xie, Siyang
中科院分区:
工程技术1区
文献类型:
--
作者:
Liu, Han;Soleimaniamiri, Saeid;Li, Xiaopeng;Xie, Siyang

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消防服务的质量依赖于各类救援人员的快速反应和合作,以保持高效的运作和可靠的救援服务。本文研究了在火灾救援行动中,不同消防站的消防车可以作为一个合作单位进行联合调度的联合定位与分配优化问题。我们首先提出一个混合整数非线性方案来优化车站位置和车辆分配决策,旨在使包括设施建设成本、运营成本和火灾损失在内的总系统成本最小化。我们提出了一种吝啬交换(Stingy - Interchange, SI)算法,以有效地将该问题求解到接近最优解。然后将JLAO模型和提出的求解方法应用于具有不同大小和参数设置的假设实例,以比较SI算法与商业求解器(Gurobi)的性能。通过对一个主要城市的实证案例研究,揭示了关键参数对成本衡量的影响。
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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