Aerospace Manufacturing Industry: A Simulation-Based Decision Support Framework for the Scheduling of Complex Hoist Lines

Artículo

Autoría

Basán, Natalia Paola ; Pulido, Raul ; COCCOLA, MARIANA EVANGELINA ; MENDEZ, CARLOS ALBERTO

Fecha

2017

Editorial y Lugar de Edición

Lizandra Garcia, Lupi Vergara

Revista

Iberoamerican Journal of Industrial Engineering, vol. 9 (pp. 100-117) - ISSN 2175-8018
Lizandra Garcia, Lupi Vergara

ISSN

2175-8018

Resumen Información suministrada por el agente en SIGEVA

The hoist scheduling problem is a critical issue in the design and control of Automated Manufacturing Systems. To deal with the major complexities appearing in such problem, this work introduces an advanced simulation model to represent the short-term scheduling of complex hoist lines. The aim is to find the best jobs schedule that minimizing the makespan while maximizing throughput with no defective outputs. Several hard constraints are considered in the model: single shared hoist, heterogeneo... The hoist scheduling problem is a critical issue in the design and control of Automated Manufacturing Systems. To deal with the major complexities appearing in such problem, this work introduces an advanced simulation model to represent the short-term scheduling of complex hoist lines. The aim is to find the best jobs schedule that minimizing the makespan while maximizing throughput with no defective outputs. Several hard constraints are considered in the model: single shared hoist, heterogeneous recipes, eventual recycles flows, and no buffers between workstations. Different heuristic-based strategies are incorporated into the computer model in order to improve the solutions generated over time. The alternative solutions can be quickly evaluated by using a graphical user interface developed together with the simulation model.

Ver más Ver menos

Descargue o solicite el texto completo

http://hdl.handle.net/11336/44098