The Analysis of Performances of an Assembly Line in Strike-Zone Supply Method Managed with Kanban and Conwip

Article Preview

Abstract:

The present paper is part of a larger study of the authors, which consists in the analysis of performances of several production systems. On a multiproduct assembly line supplied in Strike-Zone, are made researches on the influence of the method of production flow management, the method of launching in production and by varying the clients demand size on several performance indicators. The assembly line has mainly manual activities, divided in 5 workstations. The line produces two types of similar products. Using dynamic simulation (Arena software) that mimics the lines functioning mode, different experimental conditions are created, determined by the variation of the above mentioned parameters, following the evolution of the performance indicators: average work in process, cost per unit, systems reactivity to client demand and throughput. The obtained results were interpreted and structured, in a manner to help the process managers to take adequate decisions considering the wanted objectives.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

225-230

Citation:

Online since:

May 2015

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] C. Wänström, L. Medbo, The impact of materials feeding design on assembly process performance, Journal of Manufacturing Technology Management, 20-1 (2009) 30-51.

DOI: 10.1108/17410380910925398

Google Scholar

[2] D. Cao, M. Chen, A mixed integer programming model for a two line CONWIP-based production and assembly system, International Journal of Production Economics, 95 (2005) 317-326.

DOI: 10.1016/j.ijpe.2004.01.002

Google Scholar

[3] Y. Khojasteh-Ghamari, A performance comparison between Kanban and CONWIP controlled assembly systems, Journal of Intelligent Manufacturing, (2009) 751-760.

DOI: 10.1007/s10845-008-0174-5

Google Scholar

[4] J. A. Pettersen, A. Segerstedt, Restricted work-in-process: A study of differences between Kanban and CONWIP, International Journal of Production Economics, 118-1 (2009) 199-207.

DOI: 10.1016/j.ijpe.2008.08.043

Google Scholar

[5] J. Banks, J. S. Carson II, B. L. Nelson, D. M. Nicol, Discrete Event Simulation, Prentice-Hall, Upper Saddle River, New Jersey, 4th edition, (2005).

Google Scholar

[6] A. Gavriluţă, E. Niţu, A. Rotaru, The Analysis of Performances of an Assembly Line in Synchronous Supply Managed with Kanban and Conwip Methods, Innovative Manufacturing Engineering International Conference-IManE 2014, May 29-30, 2014, Chişinău-Republic of Moldova.

DOI: 10.4028/www.scientific.net/amm.657.966

Google Scholar

[7] A. Rotaru, A. Gavriluţă, E. Niţu, Influence of Production Flow Management Methods on an Assembly Line Supplied on Stock, Innovative Manufacturing Engineering International Conference - IManE 2014, May 29-30, 2014, Chişinău-Republic of Moldova.

DOI: 10.4028/www.scientific.net/amm.657.971

Google Scholar