Abstract
In this chapter, we present operational and planning models for manufacturing systems. These models are developed to show the operational fidelity of the models to various manufacturing processes. The models are initially used to plan production activities for a variety of products that will be semi-automatically manufactured. The same models are then used to show how optimal operational conditions can be developed for a variety of processes (minimum time and cost). The models are then extended to show how the operating conditions can be perturbed so that optimal short-term planning models can be developed.
The approach is illustrated using a family of product family models developed at Penn State University. The Factory for Advanced Manufacturing Engineering (FAME) at Penn State, a sophisticated manufacturing system is used to produce the products in volume, as would be the case for many commercial products.
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References
Benjaafar, S., 1996, “On production batches, transfer batches and lead times,” IIE Transactions, 28(5), pp. 357–362.
Brooke, A., Kendrick, D., Meeraus, A. and Raman, R., 1998, GAMS: A Users Guide, GAMS Development Corporation, http://www.gams.com/.
Carver, R.H., 2004, Doing Data Analysis with MINITAB 14, Duxbury Press, Belmont, CA, USA; 2nd edn.
Chang, T.C., Wysk, R.A. and Wang, H.P., 1992, Computer Aided Manufacturing, Prentice-Hall, Inglewood, NJ, USA.
Johnson, D., 2003, “A framework for reducing manufacturing throughput Time,” Journal of Manufacturing Systems, 22(4), pp. 283–298.
Kelton, D.W., Sadowski, R. and Sadowski, D., 2001, Simulation with ARENA, McGraw-Hill Education, New York, NY, USA; 2nd edn.
Masin, M., Shaikh, N.I. and Wysk, R.A., 2003, “Aggregative parameter variation in optimisation modelling,” IEEE Transactions on Robotics and Automation, 19(4), pp. 529–542.
Cao, J. and Abid, K., 2000, “Value of runway time slots for airlines,” European Journal of Operational Research, 126(3), pp. 491–500.
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© 2007 Springer-Verlag London Limited
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Shaikh, N.I., Masin, M., Wysk, R.A. (2007). A Parameter-perturbation Approach to Replanning Operations. In: Wang, L., Shen, W. (eds) Process Planning and Scheduling for Distributed Manufacturing. Springer Series in Advanced Manufacturing. Springer, London. https://doi.org/10.1007/978-1-84628-752-7_15
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DOI: https://doi.org/10.1007/978-1-84628-752-7_15
Publisher Name: Springer, London
Print ISBN: 978-1-84628-751-0
Online ISBN: 978-1-84628-752-7
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