Routing of Maintenance and Repair Operations of Mobile Based Fault Notifications of Municipal Services

被引:0
|
作者
Yigit, Tuncay [1 ]
Coskun, Huseyin [2 ]
机构
[1] Suleyman Demirel Univ, Dept Comp Engn, Isparta, Turkey
[2] Usak Univ, Dept Comp Technol, Usak, Turkey
关键词
Mobile software; Artificial intelligence; Genetic Algorithm; Integer Linear Programing; Simulated Annealing; Applied mathematics; Intelligent systems; Big data; Optimization; Municipal services; OPTIMIZATION;
D O I
10.1007/978-3-030-36178-5_24
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The aim of this study is to solve routing problem of maintenance and repair service of municipal administration within the scope of municipal services. The fault locations have been consisted of mobile notifications which are reported by citizens. In this context, a mobile application has been developed to able to notify the faults by citizens in the scope of municipal services. The citizens are able to notify the fault of a municipal service via multimedia content based on their location by using the mobile application. The fault notifications that reach to municipal administration needs to be routed and scheduled as to location and time. In this study, the routing problems of transportation of maintenance and repair service have been solved with the aim of repair the fault reported by citizens in different places in city. These fault notifications are graded by three level as very urgent, urgent and non-urgent and grouped by service type. The number of maintenance staff and vehicles are defined for each service type. The Integer Linear Programing, Simulated Annealing and Genetic Algorithm optimization methods have been utilized to solve the routing problem. The best improving value of total routing distance of maintenance operation and best optimization rate has been found as 11.9%, 13.34% respectively.
引用
收藏
页码:320 / 334
页数:15
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