Abstract
Manufacturing has gone through periods of great changes time and again. New materials, new information and production technologies, new planning and control techniques, and new bases for competition have all contributed to these changes. In recent years, global competition, more demanding customers, economic liberalization, more stringent regulations on environment, emergence of common markets, disintegration of large States, etc. have added to the complexity of managing manufacturing firms. To address these new complexities, computer aided automation, flexibility management, strategic alliances, management of end-to-end business processes, especially supply chain and new product development processes, are particularly important.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Adler, P.S., Mandelbaum, A., Nguyen, V. and Schwerer, E., 1995, From project to process management: An empirically-based framework for analyzing product development time, Management Science, 41, 3, 458–484.
Bailetti, A.J., Callahan, J.R. and DiPetro, P., 1994, A coordination structure approach to the management of projects, IEEE Transactions on Engineering Management, 41, 4, 396–403.
Booch, G., 1994, Object-Oriented Analysis and Design with Applications, Benjamin-Cummings, Redwood, CA.
Buzacott, J. A., 1996, Commonalties in reengineered business processes, Management Science, 42, 5, 768–782.
Cooper, R.G., 1983, A process model for industrial new product development, IEEE Transactions on Engineering Management, 30, 1, 2–11.
Davenport, T. H., 1993, Process Innovation, Harvard Business School Press, Cambridge, MA.
Hammer, M. and Champy, J, 1993, Reengineering the Corporation: A Manifesto for Business Process Revolution, Harper Business.
Jacobson, I., 1995, The Object Advantage: Business Process Reengineering with Object Technology, Addison-Wesley Publishers.
Kumar, P.R., 1993, Re-Entrant lines, Queuing Systems: Theory and Applications, 13, 87–110.
Lu, S.H., Ramaswamy, D. and Kumar, P.R., 1984, Efficient scheduling policies to reduce mean and variance of cycle-time in semiconductor manufacturing plants, IEEE Transactions on Semiconductor Manufacturing, 1, 3, 374–388.
Malone, T.W. and Smith, S.A., 1988, Modeling the performance of organizational structures, Operations Research, 36, 3, 421–436.
Massey, W.A., Baccelli, F. and Towsley, D., 1989, Acyclic fork-join queuing systems. Journal of the ACM, 36, 615–642.
Mujtaba, M.S., 1994, Enterprise modeling and simulation: Complex dynamic behavior of a simple model of manufacturing, Hewlett-Packard Journal, December, 80–114.
Ulrich, K.T. and Eppinger, S.D., 1995, Product Design and Development, Mc-Graw Hill, NY.
Whitt, W., 1983, The queuing network analyzer, Bell Systems Technical Journal, 62(9), 2779–2815.
Viswanadham, N. and Narahari, Y., 1992, Performance Modeling of Automated Manufacturing Systems, Prentice Hall, Englewood Cliffs, NJ.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer Science+Business Media New York
About this chapter
Cite this chapter
Viswanadham, N., Narahari, Y., Raghavan, N.R.S. (1998). Design / Analysis of Manufacturing Systems: A Business Process Approach. In: Suresh, N.C., Kay, J.M. (eds) Group Technology and Cellular Manufacturing. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5467-7_13
Download citation
DOI: https://doi.org/10.1007/978-1-4615-5467-7_13
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7497-8
Online ISBN: 978-1-4615-5467-7
eBook Packages: Springer Book Archive