• DocumentCode
    2427259
  • Title

    A Black-Scholes Approach to Satisfying the Demand in a Failure-Prone Manufacturing System

  • Author

    Chavez-Fuentes, Jorge R. ; Lez, Oscar R Gonza ; Gray, W. Steven

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Old Dominion Univ., Norfolk, VA
  • fYear
    2007
  • fDate
    4-6 March 2007
  • Firstpage
    154
  • Lastpage
    158
  • Abstract
    The goal of this paper is to use a financial model and a hedging strategy in a systems application. In particular, the classical Black-Scholes model, which was developed in 1973 to find the fair price of a financial contract, is adapted to satisfy an uncertain demand in a manufacturing system when one of two production machines is unreliable. This financial model together with a hedging strategy are used to develop a closed formula for the production strategies of each machine. The strategy guarantees that the uncertain demand will be met in probability at the final time of the production process. It is assumed that the production efficiency of the unreliable machine can be modeled as a continuous-time stochastic process. Two simple examples illustrate the result.
  • Keywords
    continuous time systems; demand forecasting; failure analysis; finance; manufacturing systems; probability; stochastic processes; classical Black-Scholes model; continuous-time stochastic process; demand satisfaction; failure-prone manufacturing system; fair price; financial contract; financial model; hedging strategy; probability; production process; Continuous production; Contracts; Control systems; Cost function; Finance; Manufacturing systems; Optimal control; Production systems; Resource management; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 2007. SSST '07. Thirty-Ninth Southeastern Symposium on
  • Conference_Location
    Macon, GA
  • ISSN
    0094-2898
  • Print_ISBN
    1-4244-1126-2
  • Electronic_ISBN
    0094-2898
  • Type

    conf

  • DOI
    10.1109/SSST.2007.352338
  • Filename
    4160824