DocumentCode :
3517279
Title :
The Value of Production Outsourcing: A Real Options Perspective
Author :
Hui-yun, JIAN ; Min-li, XU
Author_Institution :
Bus. Sch., Central South Univ., Changsha
fYear :
2006
fDate :
5-7 Oct. 2006
Firstpage :
587
Lastpage :
590
Abstract :
Production outsourcing is a good way to gain production flexibility and competitive advantage for manufacturers. This paper analyzes the value of production outsourcing and the effect of cost, product price and market demand on production outsourcing, which is considered as a series of European options. The manufacturer has the right to decide whether to outsource at each time interval. A discrete-time model in dynamic environment is designed to evaluate the options. In the model, manufacturing in-house and production outsourcing are supposed as two projects, and each one has its own value. If the value of outsourcing is bigger than that of manufacturing in-house, the manufacturer outsources its production. It´s easy to make the decision in deterministic condition, but in dynamic environment it´s not easy to do that. In this model, assuming there is no switching cost. And product price, market demand, cost of manufacturing in-house and cost of outsourcing are considered as the sources of uncertainty. Each of the four variables is assumed to follow a geometric Brown motion. Monte Carlo simulation is used to simulate these variables. The value of manufacturing in-house and the value of outsourcing are obtained based on the simulation. The manufacturer holds the option to manufacture in-house or outsource according to the result. The effect of some key parameters (volatility of product price, volatility of market demand, volatility of manufacturing in-house cost, volatility of outsourcing cost, and the coefficients of correlation) on option value of production outsourcing is analyzed, and numerical results are given. The novelty of the paper is that four variables are included in the real options model and Monte Carlo simulation, and real options approach is proved as a useful tool to help make decision of production outsourcing. The results will help the manufacturers to decide their production outsourcing
Keywords :
Brownian motion; Monte Carlo methods; correlation methods; decision making; industrial economics; outsourcing; pricing; production management; European options perspective; Monte Carlo simulation; correlation coefficient; decision making; discrete-time model; geometric Brown motion; manufacturing in-house project cost volatility; market demand volatility; outsourcing project cost volatility; product price volatility; production outsourcing; Costs; Dynamic programming; Exchange rates; Manufacturing industries; Mathematical model; Outsourcing; Production; Stochastic processes; Uncertainty; Virtual manufacturing; Flexibility; Monte Carlo simulation; Production outsourcing; Real options;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science and Engineering, 2006. ICMSE '06. 2006 International Conference on
Conference_Location :
Lille
Print_ISBN :
7-5603-2355-3
Type :
conf
DOI :
10.1109/ICMSE.2006.313968
Filename :
4104967
Link To Document :
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