The Impact of Customized Variety on Configuration Complexity of Assembly Process

Article Preview

Abstract:

Mass customization provides products with high variety on demand, at a cost not significantly greater than mass production. Problem at this point is that these product variants lead to process/resource variants what has a negative impact on complexity of manufacturing complexity of such products. In this paper, we present a methodological framework for creating all possible product variants based on unlimited number of optional components while assuming with at least two constant initial components. Development of all possible product architectures is further applied for investigation the impact of product variety decisions on structural complexity of assembly processes. According to the assembly process variants created a specific complexity measure can then be assigned.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

135-140

Citation:

Online since:

January 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] B. J. Pine, Mass customization: The New Frontier in Business Competition, first ed., Massachusetts, Harvard Business School Press, (1992).

Google Scholar

[2] N. J. A. Sloane, A handbook of integer sequences, first ed., New York, Academic Press, (1973).

Google Scholar

[3] X. Zhu, S. J. Hu, Y. Koren, S. P. Marin, Modeling of Manufacturing Complexity in Mixed-Model Assembly lines, J. Manuf. Sci. E-T Asme., 130 (2007) 1-50.

Google Scholar

[4] H. Wang, D. Ceglarek, Quality-driven, Sequence Planning and Line Configuration Selection for Compliant Structure Assemblies, CIRP Ann. -Manuf. Techn. 54 (2005) 31-35.

DOI: 10.1016/s0007-8506(07)60043-2

Google Scholar

[5] G. Dini, M. Santochi, Automated Sequencing and Subassembly Detection in Assembly Planning, CIRP Ann. -Manuf. Techn. 41 (1992) 1-4.

DOI: 10.1016/s0007-8506(07)61140-8

Google Scholar

[6] V. Modrak, D. Marton, Complexity metrics for assembly supply chains: A comparative study, Adv. Mat. Res. 629 (2013) 757-762.

DOI: 10.4028/www.scientific.net/amr.629.757

Google Scholar

[7] H. Wang, J. Ko, X. Zhu, S. J. Hu, A Complexity Model for Assembly Supply Chain and Its Application to Configuration Design, J. Manuf. Sci. E-T Asme. 132 (2010) 1-46.

Google Scholar

[8] S. J. Hu, X. W. Zhu, H. Wang, Y. Koren, Product variety and manufacturing complexity in assembly systems and supply chains, CIRP Ann. -Manuf. Techn. 57 (2008) 45-48.

DOI: 10.1016/j.cirp.2008.03.138

Google Scholar

[9] V. Modrak, Evaluation of structural properties for business processes, Proceedings of the Sixth International Conference on Enterprise Information Systems - ICEIS, (2004) 619-622.

Google Scholar

[10] C. E. Shannon, A Mathematical theory of communication, Bell Syst. Tech. J. 27 (1948) 379-423.

Google Scholar

[11] A. V. Desmukh, J. J. Talavage, M. M. Barash, Complexity in manufacturing systems, part 1: Analysis of static complexity, Procedings of IEEE Trans. 30 (1998) 645-655.

DOI: 10.1080/07408179808966508

Google Scholar

[12] H. A. ElMaraghy, O. Kuzgunkayaa, R. J. Urbanic, Manufacturing systems configuration complexity, CIRP Ann. -Manuf. Techn. 54 (2005) 445-450.

DOI: 10.1016/s0007-8506(07)60141-3

Google Scholar

[13] P. Suh, Complexity, Theory and Applications, first ed., New York, Oxford University Press, (2005).

Google Scholar

[14] B. M. Beamon, V. C. P. Chen. Performance Analysis of Conjoined Supply Chains, Int. J. Prod. Res. 39 (2001) 3195-3218.

Google Scholar

[15] V. Modrák, Case on manufacturing cell formation using production flow analysis, Int. J. Aero. Mech. Eng. 3: 4 (2009) 238-242.

Google Scholar