Scheduler for Automatic Management of Maintenance Jobs in Large-Size Systems: A Case Study Applied to Smart City
| Autor: | Francisco J. Ferrandez-Pastor, Fernando G. Guerrero-Gómez, Rafael J. Valdivieso-Sarabia, Oscar Marín-Alonso, Juan Manuel García-Chamizo, Jerónimo Mora-Pascual |
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| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
020901 industrial engineering & automation Corrective maintenance Operations research Computer science Smart city Real-time computing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 02 engineering and technology Management process Large size Scheduling (computing) |
| Zdroj: | Ubiquitous Computing and Ambient Intelligence ISBN: 9783319675848 UCAmI |
| DOI: | 10.1007/978-3-319-67585-5_6 |
| Popis: | Maintenance of systems such as infrastructure, services and equipment on city context requires a complex management process in order to provide quality services, comply with regulations and extend lifespan of urban equipment and infrastructure without neglecting the proper use of resources to execute maintenance jobs. Cities can generate hundreds or thousands of maintenance jobs during a particular time period. These jobs can be generated automatically by equipment or can be reported by citizens/users. This work introduces a scheduling architecture for automatic management of maintenance jobs. The proposal is able to handle preventive and corrective maintenance jobs looking for available human and instrumental resources during the common time period required by the job to be executed. The scheduler uses intelligent strategies to satisfy constraints of each job in order to get a scheduling according to the criterion of the manager of maintenance. A case study is applied to smart city. |
| Databáze: | OpenAIRE |
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