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Introduction and Risk Analysis in Supply Chains Read chapter Read first chapter

2023 | OriginalPaper | Chapter

3. Inventory Management Under Demand Uncertainty

Author : Işık Biçer

Published in: Supply Chain Analytics

Publisher: Springer Nature Switzerland

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Abstract

Effective inventory management is crucial to long-term profitability of organizations. Companies that manage their inventories effectively can substantially improve their operating margins and gain a competitive edge in their industries. We elaborate on inventory management theories under demand uncertainty in this chapter. We first focus on inventory problems that have analytical solutions. One key message of this chapter is that decision-makers can find optimal or near-optimal solutions intuitively by applying marginal analysis without using exhaustive derivations. We also discuss how the assumptions on which analytical results are based are often violated in practice. We conclude the chapter with the Monte Carlo simulation, which has proven to be effective in solving complex supply chain problems when no analytical solution exists.

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previous chapter Analytical Foundations: Predictive and Prescriptive Analytics
next chapter Uncertainty Modelling
Footnotes
1
The mean demand for the lognormal distribution is given by \(e^{\mu + \sigma ^2/2}\), while the variance is \((e^{\sigma ^2}-1)e^{2\mu + \sigma ^2}\).
 
Literature
Alan, Y., Gao, G. P., & Gaur, V. (2014). Does inventory productivity predict future stock returns? A retailing industry perspective. Management Science, 60(10), 2416–2434.CrossRef
Anderson, E. T., Fitzsimons, G. J., & Simester, D. (2006). Measuring and mitigating the costs of stockouts. Management Science, 52(11), 1751–1763.CrossRef
Clark, A. (1958). A dynamic, single-item, multi-echelon inventory model rm2297. The Rand Corporation, Santa Monica, California.
Connors, W., & Terlep, S. (2013). Blackberry stuck with $1 billion in unsold phones. Wall Street Journal.
Gallego, G., Katircioglu, K., & Ramachandran, B. (2007). Inventory management under highly uncertain demand. Operations Research Letters, 35(3), 281–289.CrossRef
Gaur, V., Fisher, M. L., & Raman, A. (2005). An econometric analysis of inventory turnover performance in retail services. Management Science, 51(2), 181–194.CrossRef
Gavish, B., & Graves, S. C. (1980). A one-product production/inventory problem under continuous review policy. Operations Research, 28(5), 1228–1236.CrossRef
Hadley, G., & Whitin, T. M. (1963). Analysis of inventory systems. Prentice-Hall.
Judd, K. L. (1998). Numerical methods in economics. The MIT Press.
Kapner, S. (2015). Struggling toys r us tries fuller stores. Wall Street Journal.
Morgenson, G., & Rizzo, L. (2018). Who killed toys r us? Hint: It wasn’t only amazon. Wall Street Journal.
Raman, A., Gaur, V., & Kesavan, S. (2006). David Berman. Harvard Business School Case#: 9-605-081.
Scarf, H. E. (1958). A min-max solution of an inventory problem. In K. Arrow, S. Karlin, & H. Scarf (Eds.), Studies in the mathematical theory of inventory and production (pp. 201–209)
Soliman, M. T. (2008). The use of dupont analysis by market participants. The Accounting Review, 83(3), 823–853.CrossRef
Metadata
Title
Inventory Management Under Demand Uncertainty
Author
Işık Biçer
Copyright Year
2023
Book
Supply Chain Analytics

Print ISBN: 978-3-031-30346-3

Electronic ISBN: 978-3-031-30347-0

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-3-031-30347-0_3

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