Enhancement of Investment Decision Making Using Real Options with Application to Advanced Process Control Project

Authors

  • Anukoon Asawachatroj Chulalongkorn University
  • David Banjerdpongchai Chulalongkorn University
  • Pornanong Busaratragoon Chulalongkorn University

DOI:

https://doi.org/10.4186/ej.2014.18.3.37

Keywords:

Advanced Process Control, economic assessment, investment decision making, real options, option to defer.

Abstract

Feasibility study is one of the most important parts of decision making for project investment. Current industrial approach to estimate benefit of advanced process control (APC) is based on the conventional estimation techniques, namely, statistical analysis and payback period. These conventional approaches can answer the investment either 'Go' or 'No Go'. The gap analysis reveals that economics uncertainties and inflexibility of decision criteria are the issues required improvement on the decision making process. In this paper, we apply a real options approach to develop option to defer analysis as part of the proposed feasibility study of APC project. We demonstrate improvement of the proposed method with a case study on ethylene plant in Thailand. The result shows that option to defer can additionally answer 'when to defer' and 'when to invest'. Hence, this approach enhances the investment decision making under economics uncertainties and provides flexible decision criteria.

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Author Biographies

Anukoon Asawachatroj

Technoprenuership and Innovation Management Program, Chulalongkorn University, Bangkok 10330, Thailand

David Banjerdpongchai

Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand

Pornanong Busaratragoon

Department of Banking and Finance, Chulalongkorn Business School, Chulalongkorn University, Bangkok 10330, Thailand

Published

Vol 18 No 3, Jul 10, 2014

How to Cite

[1]
A. Asawachatroj, D. Banjerdpongchai, and P. Busaratragoon, “Enhancement of Investment Decision Making Using Real Options with Application to Advanced Process Control Project”, Eng. J., vol. 18, no. 3, pp. 37-54, Jul. 2014.