Business Process Instances Scheduling with Human Resources Based on Event Priority Determination

International audienceBusiness Process Management (BPM) is concerned with continuously enhancing business processes. However, this cannot be achieved without an effective Resource allocation and a priority-based scheduling. These are important steps towards time, cost and performance optimization in business processes. Even though there are several approaches and algorithms for scheduling and resource allocation problems, they do not take into consideration information gathered from past process executions, given the stateless aspect of business processes. Extracting useful knowledge from this information can help achieving an effective instance scheduling decisions without compromising cost or quality of service. In this paper, we pave the way for a combination approach which is based on unsupervised machine learning algorithms for clustering and genetic algorithm (GA) to ensure the assignment of the most critical business process instance tasks, to the qualified human resource while respecting several constraints such as resource availability and reliability, and taking into consideration the priority of the events that launch the process instances. A case study is presented and the obtained results from our experimentations demonstrate the benefit of our approach and allowed us to confirm the efficiency of our assumptions

The multi-objective assembly line worker integration and balancing problem of type-2

[EN] The consideration of worker heterogeneity in assembly lines has received a fair amount of attention in the literature in the past decade. Most of this exploration uses as motivation the example of assembly lines in sheltered work centers for the disabled. Only recently has the community started looking at the situation faced in assembly lines in the general industrial park, when in the presence of worker heterogeneity. This step raises a number of questions around the best way to incorporate heterogeneous workers in the line, maximizing their integration while maintaining productivity levels. In this paper we propose the use of Miltenburg's regularity criterion and cycle time as metrics for integration of workers and productivity, respectively. We then define, model and develop heuristics for a line balancing problem with these two goals. Results obtained through an extensive set of computational experiments indicate that a good planning can obtain trade-off solutions that perform well in both objectives.This research was supported by CAPES -Brazil and MEC-Spain (coordinated project CAPES DGU 258-12/PHB2011-0012-PC ) and by FAPESP -Brazil (grant number: 2010/19983-6 ).Moreira, MC.; Pastor, R.; Costa, A.; Miralles Insa, CJ. (2017). The multi-objective assembly line worker integration and balancing problem of type-2. Computers & Operations Research. 82:114-125. https://doi.org/10.1016/j.cor.2017.01.003S1141258

Sistema de Posicionamiento en interiores Localización de objetos mediante RFID

Treball de fi de grau en TelemàticaTutors: Joan Melià Seguí i Anna Carreras CochEl proyecto actual se basa en la localización de objetos usando la tecnología “Radio Frequency Identification” (RFID) o identificación por radiofrecuencia. El sistema RFID se forma de dos componentes, el lector/antena y las etiquetas. El lector que se usará es un lector/nUHF y etiquetas pasivas. Con este sistema se realizarán lecturas de un objeto en una estantería con antenas, la estantería inteligente (Smart Shelf). El objetivo es localizar en qué posición de la estantería se encuentra el objeto. Para ello haremos un estudio de los modelos teóricos de los diferentes algoritmos seleccionando el que mejores resultados estén obteniendo a día de hoy. Posteriormente se realizarán pruebas con tal de verificar si podemos mejorar el algoritmo que viene en el lector. El algoritmo del lector es un algoritmo basado en la intensidad de señal, que como veremos más adelante tiene sus ventajas y desventajas

Quarterly Report from the SYSDEM correspondent, Belgium

info:eu-repo/semantics/publishe

Actualisation du rapport Sécurité Sociale :Examen de l’opportunité d’estimer des matrices de mobilité interrégionales différentes pour chaque branche de la sécurité sociale: PK-RP-SECU

info:eu-repo/semantics/nonPublishe

Les transferts de compétences en matière d’emploi selon l’Accord du gouvernement

info:eu-repo/semantics/publishe

Manuel d’utilisation du Simulateur « SimMobilité », Décembre 2012

info:eu-repo/semantics/nonPublishe