A real-options-based analysis for supply chain decisions

Flexibility allows firms to compete more effectively in a world of short product life cycles, rapid product development, and substantial demand and/or price uncertainty. We develop a supply chain model in which a manufacturing firm can have the flexibility to select different suppliers, plant locations, and market regions and there can be an implementation time lag for the supply chain operations. We use a real options approach to estimate the value of flexibility and to determine the optimum strategy to manage the flexibility under uncertainty in the currency exchange rate. To price the operational flexibility, we develop a Monte Carlo simulation technique that is able to incorporate a large number of variables into the valuation. We show that without considering time lag impact, the value of the operational flexibility can be significantly overestimated.

[1]  William Whipple The Engineering Economist , 1969 .

[2]  P. Boyle Options: A Monte Carlo approach , 1977 .

[3]  S. Ross,et al.  Option pricing: A simplified approach☆ , 1979 .

[4]  Eduardo S. Schwartz,et al.  Evaluating Natural Resource Investments , 1985 .

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

[6]  P. Boyle A Lattice Framework for Option Pricing with Two State Variables , 1988, Journal of Financial and Quantitative Analysis.

[7]  P. Boyle,et al.  Numerical Evaluation of Multivariate Contingent Claims , 1989 .

[8]  B. Kamrad,et al.  Multinomial Approximating Models for Options with k State Variables , 1991 .

[9]  Alexander J. Triantis,et al.  Valuing flexibility: an impulse control framework , 1993, Ann. Oper. Res..

[10]  Kaushik I. Amin,et al.  CONVERGENCE OF AMERICAN OPTION VALUES FROM DISCRETE‐ TO CONTINUOUS‐TIME FINANCIAL MODELS1 , 1994 .

[11]  B. Kogut,et al.  Operating flexibility, global manufacturing, and the option value of a multinational network , 1994 .

[12]  Arnd Huchzermeier,et al.  Valuing Operational Flexibility Under Exchange Rate Risk , 1996, Oper. Res..

[13]  Lode Li,et al.  Optimal operating policies in the presence of exchange rate variability , 1997 .

[14]  P. Glasserman,et al.  Pricing American-style securities using simulation , 1997 .

[15]  James E. Smith,et al.  Valuing Oil Properties: Integrating Option Pricing and Decision Analysis Approaches , 1998, Oper. Res..

[16]  John N. Tsitsiklis,et al.  Optimal stopping of Markov processes: Hilbert space theory, approximation algorithms, and an application to pricing high-dimensional financial derivatives , 1999, IEEE Trans. Autom. Control..

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

[18]  Leyuan Shi,et al.  A real options design for quality control charts , 2000, 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165).

[19]  John N. Tsitsiklis,et al.  Regression methods for pricing complex American-style options , 2001, IEEE Trans. Neural Networks.

[20]  John N. Tsitsiklis,et al.  Simulation-based optimization of Markov reward processes , 2001, IEEE Trans. Autom. Control..

[21]  Harriet Black Nembhard,et al.  A real options design for product outsourcing , 2001, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304).

[22]  Marion A. Brach Real Options in Practice , 2002 .

[23]  Leyuan Shi,et al.  A REAL OPTIONS DESIGN FOR QUALITY CONTROL CHARTS , 2002 .

[24]  Leyuan Shi,et al.  A REAL OPTIONS DESIGN FOR PRODUCT OUTSOURCING , 2003 .

[25]  Nikolaos Georgiopoulos Real Options , 2006 .