Investigating the Flexibility of a Hybrid Manufacturing System Using Simulation Approach

Abstract:

Different designs of manufacturing systems are adopted in industry today. A good manufacturing design should be flexible to compensate for uncertainties such as demand fluctuations and machine breakdowns. A new conceptual manufacturing system called Multi-Channel Manufacturing (MCM) is expected to provide flexibility and efficiency under uncertainties. This paper proposes the first approach to address the usefulness of MCM. This research tries to identify the key characteristics of MCM and the manufacturing environments for which MCM should perform well. Through simulation models, different manufacturing scenarios are analyzed and a suitable manufacturing system design for each scenario is identified. The simulation results illustrate that with limited material handling capacity and opportunities for setup time reduction, MCM can outperform other manufacturing formations.

• Periodical: Applied Mechanics and Materials (Volumes 465-466)
• Pages: 672-676
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.465-466.672
• Online since: December 2013
• Authors: Ping Yu Chang
• Keywords: Cellular Manufacturing, Job Shop, Multi-Channel Manufacturing, Simulation

References

[1] A.I. Abdelmola, S.M. Taboun, S. Merchawi,. Productivity optimization of cellular manufacturing systems, Comput. and Ind. Eng. 35 (3-4) (1998) 403-406.

DOI: 10.1016/s0360-8352(98)00119-3

[2] A. Agarwal, J. Sarkis, A review and analysis of comparative performance studies on functional and cellular manufacturing layouts, Comput. and Ind. Eng. 34 (1) (1998) 77-89.

DOI: 10.1016/s0360-8352(97)00152-6

[3] J.G.H. Carlson, A.C. Yao, Simulating and agile, synchronized manufacturing system, Int. J. of Prod. Econ. 112 (2008) 714-722.

DOI: 10.1016/j.ijpe.2007.06.008

[4] B.Y. Ekren, A.M. Ornek, A simulation based experimental design to analyze factors affecting production flow time, Simul. Model. Pract. and Th. 16 (2008) 278-293.

DOI: 10.1016/j.simpat.2007.11.016

[5] A. Greasley, Using simulation for facility design: A case study, Simul. Model. Pract. and Th. 16 (2008) 670-677.

[6] M. Jahangirian, T. Eldabi, A. Naseer, L.K. Stergioulas, T. Young, Simulation in manufacturing and business: A review, Eur. J. of Oper. Res. 203 (2010) 1-13.

DOI: 10.1016/j.ejor.2009.06.004

[7] R. Logendran, D. Talkington, Analysis of cellular and functional manufacturing systems in the presence of machine breakdown, Int. J. of Prod. Econ. 53 (1997) 239-256.

DOI: 10.1016/s0925-5273(97)00100-x

[8] I. Mahdavi, B. Shirazi, M. Solimanpur, Development of a simulation-based decision support system for controlling stochastic flexible job shop manufacturing systems, Simul. Model. Pract. and Th. 18 (2010) 768-786.

DOI: 10.1016/j.simpat.2010.01.015

[9] R.D. Meller, White paper on multi-channel manufacturing, Technical Report, Department of Industrial and Systems Engineering, Virginia Polytechnic Institute and State University, Virginia, (1998).

[10] J.S. Morris, R.J. Tersine, A simulation analysis of factor influencing the attractiveness of group technology cellular layouts, Manage. Sci. 36 (12) (1990) 1567-1578.

DOI: 10.1287/mnsc.36.12.1567

[11] J.S. Morris, R.J. Tersine, A simulation comparison of process and cellular layouts in a dual resource constrained environment, Comput. and Ind. Eng. 26 (4) (1994) 733-741.

DOI: 10.1016/0360-8352(94)90008-6

[12] S.M. Shafer, J.R. Meredith, An empirically-based simulation study of functional versus cellular layouts with operations overlapping, Int. J. of Oper. & Prod. Manage. 13 (2) (1992) 47-62.

DOI: 10.1108/01443579310025303

[13] G. Shambu, N.C. Suresh, Performance of hybrid cellular manufacturing systems: a computer simulation investigation, Eur. J. of Oper. Res. 120 (2000) 436-458.

DOI: 10.1016/s0377-2217(98)00371-3

[14] N.C. Suresh, Partitioning work centers for group technology: analytical extension and shop-level simulation investigation, Decision Sci. 23 (1991) 267-290.

DOI: 10.1111/j.1540-5915.1992.tb00389.x