• 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