An Options Approach to Valuing Expansion Flexibility in Flexible Manufacturing System Investments

ABSTRACT Flexibility in manufacturing processes provides an ability to change or even reverse the decisions made in earlier periods. The traditional economic evaluation methods of investments in flexible manufacturing systems ignore the value of flexibility, which should be one of the key issues in the justification process. Options approach appears as a means of overcoming the limitations of conventional discounted cash flow methods. In this work, a methodology for valuing expansion flexibility of flexible manufacturing systems is presented. Expansion flexibility in a phased manufacturing investment can be valued by viewing an initial investment as being analogous to purchasing an option to exchange one risky asset for another risky asset within a time period from the initial investment. While keeping the option to expand is of value, a thorough analysis requires that the opportunity cost of delaying expansion be taken into account. In this paper, an analytic approximation methodology for valuing sequential American exchange options on dividend paying stocks is employed for valuing expansion flexibility. A comprehensive numerical example is presented to illustrate the approach, and sensitivity analyses are performed.

[1]  J. Hull Options, futures & other derivatives , 2003 .

[2]  Jack R. Mkrkdtth,et al.  Justification techniques for advanced manufacturing technologies , 1986 .

[3]  Bhaba R. Sarker,et al.  A survey and critical review of flexibility measures in manufacturing systems , 1994 .

[4]  S. Wheelwright,et al.  Restoring Our Competitive Edge: Competing Through Manufacturing , 1984 .

[5]  Leyuan Shi,et al.  REAL OPTION MODELS FOR MANAGING MANUFACTURING SYSTEM CHANGES IN THE NEW ECONOMY , 2000 .

[6]  Chan S. Park,et al.  The economic justification of the sequential adoption of a new manufacturing system , 1992 .

[7]  Kuldeep Shastri,et al.  Valuation by Approximation: A Comparison of Alternative Option Valuation Techniques , 1985, Journal of Financial and Quantitative Analysis.

[8]  H. Johnson,et al.  The American Put Option Valued Analytically , 1984 .

[9]  R. McDonald,et al.  Investment and the Valuation of Firms When There Is an Option to Shut Down , 1985 .

[10]  A. Genz Numerical Computation of Multivariate Normal Probabilities , 1992 .

[11]  H. Correa Linking Flexibility, Uncertainty and Variability in Manufacturing Systems: Managing Un-Planned Change in the Automative Industry , 1994 .

[12]  Yash P. Gupta,et al.  Flexibility of manufacturing systems: Concepts and measurements , 1989 .

[13]  Alexander J. Triantis,et al.  Valuing Flexibility as a Complex Option , 1990 .

[14]  G. Barone-Adesi,et al.  Efficient Analytic Approximation of American Option Values , 1987 .

[15]  Andrew Wirth,et al.  Manufacturing flexibility: Measures and relationships , 1999, Eur. J. Oper. Res..

[16]  Suresh P. Sethi,et al.  Flexibility in manufacturing: A survey , 1990 .

[17]  Stewart C. Myers,et al.  Finance Theory and Financial Strategy , 1984 .

[18]  G. John Miltenburg,et al.  Evaluating Flexible Manufacturing Systems , 1987 .

[19]  D. Gerwin Manufacturing flexibility: a strategic perspective , 1993 .

[20]  William Margrabe The Value of an Option to Exchange One Asset for Another , 1978 .

[21]  L. Trigeorgis Real Options: Managerial Flexibility and Strategy in Resource Allocation , 1996 .

[22]  Ram L. Kumar,et al.  An options view of investments in expansion-flexible manufacturing systems , 1995 .

[23]  Peter Carr,et al.  The Valuation of Sequential Exchange Opportunities , 1988 .

[24]  F. Black,et al.  The Pricing of Options and Corporate Liabilities , 1973, Journal of Political Economy.

[25]  A. Kemna Case studies on real options , 1993 .

[26]  A. Dixit,et al.  Chapter 19 – The Options Approach to Capital Investment , 1998 .

[27]  Ram L. Kumar,et al.  Managing risks in IT projects: an options perspective , 2002, Inf. Manag..

[28]  Nalin Kulatilaka,et al.  Valuing the flexibility of flexible manufacturing systems , 1988 .