DocumentCode :
2239673
Title :
Capacity flexibility premium under different demand uncertainties
Author :
Ming-gao, Xue ; Lin-lin, Liu ; Xiang-yang, Wang
Author_Institution :
Sch. of Manage., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
2011
fDate :
13-15 Sept. 2011
Firstpage :
61
Lastpage :
66
Abstract :
In this paper, we study the effect of different demand shocks on flexibility premium in capacity investment. We find that capacity flexibility premium is significantly higher under additive demand uncertainty than that under multiplicative demand shock. The result suggests that real options approach is more appropriate for investment decision in additive model, and when under multiplicative demand shock the simple net present value (NPV) rule is efficient enough for firm to make accurate decision. That may provide additional theoretical support to explain why many firms still prefer NPV approach in reality. Before using real options approach indiscriminately, first to analyze and identify the nature of demand should be necessary. We examine this problem by dynamic programming and extend the application of bi-variable tree approach for jump diffusion stochastic processes.
Keywords :
decision making; dynamic programming; investment; stochastic processes; trees (mathematics); additive demand uncertainty; bivariable tree approach; capacity flexibility premium; capacity investment; dynamic programming; investment decision; jump diffusion stochastic process; multiplicative demand shock; net present value rule; real option approach; Additives; Contracts; Electric shock; Investments; Production systems; Uncertainty; capacity investment; flexibility premium; nature of demand shock; real option; stochastic dynamic programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science and Engineering (ICMSE), 2011 International Conference on
Conference_Location :
Rome
ISSN :
2155-1847
Print_ISBN :
978-1-4577-1885-4
Type :
conf
DOI :
10.1109/ICMSE.2011.6069943
Filename :
6069943
Link To Document :
بازگشت