Title :
Simulation-Based Optimization Approach for an Extended-Kanban Control System
Author :
Kageshima, Rumiko ; Inoie, Atsushi
Author_Institution :
Dept. of Inf. Network & Commun., Kanagawa Inst. of Technol., Atsugi, Japan
Abstract :
An approach to optimize the control parameters for an extended-kanban control system (EKCS) is studied. The EKCS is a Just-in-Time production system that involves the advantages of classical kanban and base-stock control systems. Although EKCS can be modeled as a discrete-time Markov chain, the state space is gigantic even for a single stage production system, making it impossible to numerically compute the Markov chain. Thus, we propose a simulation-based algorithm for parameter optimization.
Keywords :
just-in-time; kanban; manufacturing systems; optimisation; simulation; EKCS; base-stock control systems; classical kanban systems; control parameter optimization; extended-kanban control system; just-in-time production system; simulation-based algorithm; Computational modeling; Control systems; Numerical models; Optimization; Production systems; Silicon; Keywords-Optimization; production system; simulation;
Conference_Titel :
Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
Conference_Location :
Las Vegas, NV
DOI :
10.1109/CSCI.2014.151
