1) La descarga del recurso depende de la página de origen
2) Para poder descargar el recurso, es necesario ser usuario registrado en Universia


Opción 1: Descargar recurso

Detalles del recurso

Descripción

The rise of Industry 4.0 has highlighted simulation optimisation as a decision-making tool for scheduling complex-manufacturing systems, specifically when resources are expensive and multiple jobs compete for the same resources. In this context, simulation optimisation provides an important mean to predict, evaluate and improve the short-term performance of the manufacturing system. An important scheduling function is controlled job release; jobs (or orders) are not released immediately to the shop floor, as they arrive to the production system, but release is controlled to stabilize work-in-process, reduce manufacturing lead times and meet customer delivery requirements. While there exists a broad literature on job release, reported release procedures typically use simple rules and greedy heuristics to determine which job to select for release. While this is justified by its simplicity, the advent of Industry 4.0 and its advanced scheduling techniques question its adequateness. In this study, an integer linear programming model is used to select jobs to be released to the shop floor. While there are some recent studies that use a similar procedure, these studies assume the release decision for a given set of jobs is optimized in discrete time intervals. In contrast, in this study, we analyse the impact of different triggering intervals. Experimental results for a pure flow shop support our contention that simulation optimisation as a decision-making tool for job release is likely to be too important to be overlooked

Pertenece a

Repositório do Instituto Politénico de Castelo Branco  

Autor(es)

Fernandes, N.O.G. -  Thurer, Matthias -  Pinho, Tatiana -  Torres, Pedro -  Carmo -  Silva, Silvio - 

Id.: 71215118

Idioma: eng  - 

Versión: 1.0

Estado: Final

Palabras claveControlled job release - 

Tipo de recurso: article  - 

Tipo de Interactividad: Expositivo

Nivel de Interactividad: muy bajo

Audiencia: Estudiante  -  Profesor  -  Autor  - 

Estructura: Atomic

Coste: no

Copyright: sí

: restrictedAccess

Requerimientos técnicos:  Browser: Any - 

Fecha de contribución: 14-abr-2018

Contacto:

Localización:
* Fernandes, N.O.G. [et al.] (2018) - Simulation optimization: a new job release approach for Industry 4.0. In International Working Seminar on Production Economics, 20, Innsbruck, 19-23 de Fevereiro. [S. l: s.n.]. p. 1-10

Otros recursos del mismo autor(es)

  1. New structural, hydrogeological and hydrothermal insights on Cumbre Vieja (La Palma, Canary Islands, Spain). Determining the link between pre-existing structures and volcanism is a topic of interest in Volcano...
  2. Impulsivity-based thrifty eating phenotype and the protective role of n-3 PUFAs intake in adolescents The goal of the present study was to investigate whether intrauterine growth restriction (IUGR) affe...
  3. Interação entre o peso ao nascer e a concentração sérica de DHA no domínio ingestão externa em adolescentes e adultos jovens
  4. Carbapenem-resistant pseudomonas aeruginosa : clonal spread in southern Brazil and in the state of Goiás This study evaluated the clonal spread of carbapenem-resistant P. aeruginosa producing SPM-1 type me...
  5. A relação entre a memória social e sociocognição: busca do contexto social na Organização do Conhecimento This article aims to highlight the relation between social memory and social cognition and the persp...

Otros recursos de la mismacolección

  1. Load-Based POLCA: an assessment of the load accounting approach “This is a post-peer-review, pre-copyedit version of an article published in Advances in Intelligent...
  2. Iterative optimization-based simulation: a decision support tool for job release “This is a post-peer-review, pre-copyedit version of an article published in Advances in Intelligent...
  3. Experimental assessment of RRM techniques in 5 GHz dense WiFi networks using REMs “© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for...
  4. Error Correction Repetition Codes with Arduino and Raspberry PI “This is a post-peer-review, pre-copyedit version of an article published in.Lecture Notes in Electr...
  5. A new framework for accessible tourism mobile application development Recent years have seen an increasing realization of the importance and potential of accessible touri...

Aviso de cookies: Usamos cookies propias y de terceros para mejorar nuestros servicios, para análisis estadístico y para mostrarle publicidad. Si continua navegando consideramos que acepta su uso en los términos establecidos en la Política de cookies.