Scheduling research contributions to Smart manufacturing
The incorporation of high technology to production systems is bringing the advent of Industry 4.0. One of the mainstays of Industry 4.0 is the application of Cyber-Physical Production Systems (CPPS). CPPSs will redefine decision-making processes in manufacturing environments, integrating traditional...
| Autores: | , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2018 |
| País: | Argentina |
| Institución: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | inglés |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/62101 |
| Acceso en línea: | http://hdl.handle.net/11336/62101 |
| Access Level: | acceso abierto |
| Palabra clave: | Cyber-Physical Production Systems Decision Making Process Industry 4.0 Scheduling Smart Manufacturing https://purl.org/becyt/ford/1.2 https://purl.org/becyt/ford/1 |
| Sumario: | The incorporation of high technology to production systems is bringing the advent of Industry 4.0. One of the mainstays of Industry 4.0 is the application of Cyber-Physical Production Systems (CPPS). CPPSs will redefine decision-making processes in manufacturing environments, integrating traditionally disparate functionalities in a single system. One of the questions to be answered is how will the process of scheduling activities be redefined in this scenario. We examine the advances in the scheduling literature and analyze which aspects should be taken into account in future designs. Among them, we focus on topics as dynamic scheduling, distributed scheduling and inverse scheduling. |
|---|