Algorithm for the design of single-stage adaptive kanban system

Algorithm for the design of single-stage adaptive kanban system

0.00 Avg rating0 Votes
Article ID: iaor2009800
Country: Netherlands
Volume: 54
Issue: 4
Start Page Number: 800
End Page Number: 820
Publication Date: May 2008
Journal: Computers & Industrial Engineering
Authors: ,
Keywords: markov processes, heuristics: genetic algorithms
Abstract:

The traditional kanban system with fixed number of cards does not work satisfactorily in 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 method to design the adaptive kanban system. In this paper Genetic Algorithm- and Simulated annealing-based heuristics are developed and used to set the design parameters of adaptive kanban system. The numerical results indicate that simulated annealing based heuristics produces better solution with improved computational efficiency.

Reviews

Required fields are marked *. Your email address will not be published.