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Dynamic batch scheduling in a continuous cycle-constrained production system

Dynamic batch scheduling in a continuous cycle-constrained production system In this work we address the problem of batch sizing and sequencing in a continuous metal sheets painting line with the aim to minimise set-up costs and maximise certain production parameters like work in process and throughput. In such production systems a set-up activity is needed when the painting colour has to be changed; colour requirements can be different for metal sheets produced in the same or in different batches, or when production line is discontinued for a certain time period due to over capacity, roster changing or maintenance activities. Starting from the Wagner?Whitin model, a new heuristic approach is presented with the objective to minimise the number of set-ups to be made for each lot. The heuristic approach has been validated through a discrete events simulation, in which the main production parameter is monitored to verify the effective improvements. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Services Operations and Informatics Inderscience Publishers

Dynamic batch scheduling in a continuous cycle-constrained production system

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1741-539X
eISSN
1741-5403
DOI
10.1504/IJSOI.2010.037001
Publisher site
See Article on Publisher Site

Abstract

In this work we address the problem of batch sizing and sequencing in a continuous metal sheets painting line with the aim to minimise set-up costs and maximise certain production parameters like work in process and throughput. In such production systems a set-up activity is needed when the painting colour has to be changed; colour requirements can be different for metal sheets produced in the same or in different batches, or when production line is discontinued for a certain time period due to over capacity, roster changing or maintenance activities. Starting from the Wagner?Whitin model, a new heuristic approach is presented with the objective to minimise the number of set-ups to be made for each lot. The heuristic approach has been validated through a discrete events simulation, in which the main production parameter is monitored to verify the effective improvements.

Journal

International Journal of Services Operations and InformaticsInderscience Publishers

Published: Jan 1, 2010

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