Abstract
Most production and inventory modelling has traditionally focused on the management of the flow of materials: raw materials, components, assemblies, and finished products. The concern is with the management of the physical inventory and the planning and scheduling of the movement of parts and products through manufacturing and distribution. However, it has long been recognized that the movement and processing of the physical product requires information in order to be managed. So in recent years there has been an increasing tendency to include in the model the representation of information flow and the way in which information flow is linked to material flow. This is particularly important in modelling various types of multistage inventory management systems, such as base stock, Kanban, or CONWIP, as information flow and marterial flow are tightly coupled.
Supported in part by the Natural Sciences and Engineering Research Council of Canada under grant 138270.
Supported in part by the National Science Foundation under grant DMI-0100511.
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
Buzacott, J. A., and Shanthikumar, J. G. Stochastic Models of Manufacturing Systems, Prentice Hall, 1993.
Buzacott, J. A., and Shanthikumar, J. G. A General Approach for Coordinating Production in Multiple-Cell Manufacturing Systems. Production & Operations Management, 1 (1992), 34–52.
Buzacott, J. A., and Zhang, R. Q. Inventory Management with Asset-Based Financing. Working Paper, 2001.
Dallery, Y., and Liberopoulos, G. Extended Kanban Control System: Combining Kanban and Base Stock. IIE Transactions, 32:4 (2000), 369–386.
Glover, F., Hultz, J. and Klingman, D. Improved Computer Based Planning Techniques, Part 1. Interfaces, 8:4 (1978), 16–25.
Glover, F. and Kim, J. Cash Management by a Generalized Network Approach. Advances in Working Capital Management, Vol. 2, 97–113, JAI Press, 1991.
Jacobs, F. R., and Bendoly, E. Enterprise Resource Planning: Developments and Directions for Operations Management Research. European Journal of Operational Research, 146:2 (2003), 233–240.
Orgler, Y. E. An Unequal-Period Model for Cash Management Decisions. Management Science, 16 (1969), B77–B92.
Robichev, A. A., Teichroew, D. and Jones, J. M. Optimal Short Term Financing Decision. Management Science, 12 (1965), 1–36.
Van Horne, J. C. Financial Management and Policy, Tenth Edition. Prentice Hall, 1995.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer Science+Business Media New York
About this chapter
Cite this chapter
Buzacott, J.A., Zhang, R.Q. (2003). Managing and Modelling Financial Flows and Material Flows. In: Shanthikumar, J.G., Yao, D.D., Zijm, W.H.M. (eds) Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains. International Series in Operations Research & Management Science, vol 63. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0373-6_14
Download citation
DOI: https://doi.org/10.1007/978-1-4615-0373-6_14
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5044-6
Online ISBN: 978-1-4615-0373-6
eBook Packages: Springer Book Archive