Analysis of assembly systems controlled with kanbans

This paper deals with the problem of evaluating the performance of assembly systems managed with kanbans. In particular we analyze kanban systems functioning with different control policies depending on how kanbans are released in assembly stages. Simultaneous and independent releases of kanbans are considered in the analysis as alternative control policies to be used in assembly systems. Queuing network techniques are used to calculate the major system performance measures such as throughput of the system, percentage of satisfied orders, average level of finished products and average time delay of unsatisfied orders. Simultaneous and independent kanban assembly systems are compared in some numerical cases. The differences, in terms of performance, between the two alternative kanban control policies are evaluated so that the proper control policy can be selected in the design phase of the system. Simulation results are also reported to validate the approximation of the analytical method used to calculate the performance of assembly kanban systems.

[1]  Bruno Baynat,et al.  A Unified View of Product-Form Approximation Techniques for General Closed Queueing Networks , 1993, Perform. Evaluation.

[2]  Bruno Baynat,et al.  Approximate techniques for general closed queueing networks with subnetworks having population constraints , 1993 .

[3]  Maria Di Mascolo,et al.  A multi-class approximation technique for the analysis of kanban-like control systems , 2001 .

[4]  William J. Stewart,et al.  Introduction to the numerical solution of Markov Chains , 1994 .

[5]  Yves Dallery,et al.  A unified framework for pull control mechanisms in multi‐stage manufacturing systems , 2000, Ann. Oper. Res..

[6]  Maria Di Mascolo,et al.  On the design of generalized kanban control systems , 1995 .

[7]  Debasis Mitra,et al.  Analysis of a Kanban discipline for cell coordination in production lines , 1990 .

[8]  W. J. Gordon,et al.  Closed Queuing Systems with Exponential Servers , 1967, Oper. Res..

[9]  Yannick Frein,et al.  Unified Framework for Describing and Comparing the Dynamics of Pull Control Policies , 2004, Ann. Oper. Res..

[10]  Yves Dallery,et al.  Operational Analysis of Stochastic Closed Queueing Networks , 1992, Perform. Evaluation.

[11]  Yves Dallery,et al.  An Analytical Method for Performance Evaluation of Kanban Controlled Production Systems , 1996, Oper. Res..

[12]  Debasis Mitra,et al.  Analysis of a Kanban Discipline for Cell Coordination in Production Lines, II: Stochastic Demands , 1991, Oper. Res..

[13]  Bruno Baynat,et al.  Approximate analysis of multi-class synchronized closed queueing networks , 1995, MASCOTS '95. Proceedings of the Third International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems.

[14]  Yannick Frein,et al.  Comparison among three pull control policies: kanban, base stock, and generalized kanban , 2000, Ann. Oper. Res..

[15]  John A. Buzacott,et al.  Stochastic models of manufacturing systems , 1993 .

[16]  Yves Dallery,et al.  A performance comparison of pull type control mechanisms for multi-stage manufacturing , 2000 .