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Design of Multi-stage Adaptive Kanban System using Simulated Annealing algorithm

Design of Multi-stage Adaptive Kanban System using Simulated Annealing algorithm The Traditional Kanban System (TKS) with a fixed number of cards does not work satisfactorily in an unstable environment. In the adaptive kanban type pull control mechanism, the number of kanban is allowed to change with respect to the inventory and backorder level. It is required to set the threshold values at which cards are added or deleted, which is a part of the design. Previous studies used the local search and meta-heuristic methods to design the Adaptive Kanban System (AKS) for a single stage. In the multi-stage system the cards are circulated within the stage and their presence at designated positions signal to the neighbouring stages about the inventory. In this work, an improved model of the multi-stage system as compared to the traditional and AKS is developed. A Simulated Annealing (SA) algorithm based search is employed to set the parameters of the system. The results are compared with the TKS and signs of improvement were found. (Received 13 August 2007; Revised 25 January 2008; Accepted 30 April 2008) http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Manufacturing Research Inderscience Publishers

Design of Multi-stage Adaptive Kanban System using Simulated Annealing algorithm

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1750-0591
eISSN
1750-0605
DOI
10.1504/IJMR.2009.022745
Publisher site
See Article on Publisher Site

Abstract

The Traditional Kanban System (TKS) with a fixed number of cards does not work satisfactorily in an unstable environment. In the adaptive kanban type pull control mechanism, the number of kanban is allowed to change with respect to the inventory and backorder level. It is required to set the threshold values at which cards are added or deleted, which is a part of the design. Previous studies used the local search and meta-heuristic methods to design the Adaptive Kanban System (AKS) for a single stage. In the multi-stage system the cards are circulated within the stage and their presence at designated positions signal to the neighbouring stages about the inventory. In this work, an improved model of the multi-stage system as compared to the traditional and AKS is developed. A Simulated Annealing (SA) algorithm based search is employed to set the parameters of the system. The results are compared with the TKS and signs of improvement were found. (Received 13 August 2007; Revised 25 January 2008; Accepted 30 April 2008)

Journal

International Journal of Manufacturing ResearchInderscience Publishers

Published: Jan 1, 2009

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