The Electronic Kanban System for Mixed-Model Assembly Based on Simulated Annealing Algorithm

Abstract:

After discussing the technology of electronic Kanban, simulation annealing algorithm is introduced to determine the number of Kanbans and lot sizes of part types under the environment of variant demand, stochastic processing times and different types of products. Also a newly developed Kanban system is presented to dynamically and timely adjust the number of Kanbans in order to offset the blocking and starvation caused by surging demands and stochastic processing times. A simulation model of Kanban system is built to verify the various performances of electronic Kanban and traditional one. At last the performance differences in order completion and average inventory level between the number-fixed Kanban system and the number-adjustable one are presented and verified.

• Periodical: Advanced Materials Research (Volumes 403-408)
• Pages: 4355-4359
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.403-408.4355
• Online since: November 2011
• Authors: Hai Yan Wang
• Keywords: Electronic Kanban, Mixed-Model Assembly, Simulated Annealing (SA)

References

[1] Wiwakanond and Kittipong. Simulation of Electronics Manufacturing Systems with Two-card Kanban. Proceedings of the Annual Southeastern Symposium on System Theory, Vol. 3 (1996), p.391.

DOI: 10.1109/ssst.1996.493535

[2] Chen Yang. Study On MES Oriented to Car Assembling. Document of Huazhong University of Science and Technology (2007), China.

[3] Okano Akira. and Koyama Satoru. An object-oriented Application Framework for Construction of Manufacturing Execution System. Global Engineering and Manufacturing in Enterprise Networks(C), Vol. 8 (2003), pp.261-274.

[4] Gupta S. M, AlTurki and Y.A.Y. An Algorithm to Dynamically Adjust the Number of Kanbans in Stochastic Processing Times and Variable Demand Environment. Production Planning and Control, Vol. 3 (1997), pp.133-141.

DOI: 10.1080/095372897235398

[5] Mascolo M.D. and Frein Y. An Analytical Method for Performance Evaluation of Kanban Controlled Production Systems. Operations Research, Vol. 3 (1996), pp.50-64.

DOI: 10.1287/opre.44.1.50

[6] Cao Zhenxin. Optimal Research on Balancing and Sequencing of Mixed Model Assembly Lines. Information and Control, Vol. 33 (2004), pp.660-664.

[7] Sarker B.R. and Balan C.V. Operations Planning for a Multi-stage Kanban System. European Journal of Operational Research, Vol. 12 (1999), pp.284-303.

DOI: 10.1016/s0377-2217(97)00432-3

[8] P. Shahabudeen, K. Krishnaiah and M. Thulasi Narayanan. Design of a Two-Card Kanban System Using a Simulated Annealing Algorithm. Advanced Manufacturing Technology, Vol. 21 (2003), pp.754-759.

DOI: 10.1007/s00170-002-1387-y

[9] Rees L.P. and Philipoom P.R. Dynamically Adjusting the Number of Kanbans in a Just-in-time Production System Using Estimated Values of Lead time. IIE Transactions, Vol. 1 (1987), pp.199-207.

DOI: 10.1080/07408178708975387

[10] P. Shahabudeen, K. Krishnaiah and M. Thulasi Narayanan. Design of a Two-Card Kanban System Using a Simulated Annealing Algorithm. Advanced Manufacturing Technology, Vol. 21 (2003), P. 754-759.

DOI: 10.1007/s00170-002-1387-y