A multi-stage new product development using fuzzy Type-2 sets in a real option valuation

Author(s):  
Nihan Semercioglu ◽  
A. Cagri Tolga
2021 ◽  
Vol 45 (340) ◽  
pp. 38-52
Author(s):  
Irina Pilvere ◽  
Mihails Silovs ◽  
Janis Ozolins ◽  
Aleksejs Nipers ◽  
Olga Dmitrijeva

Abstract To survive in today's competitive environment, companies must continuously develop and offer customers new products. To increase the probability of a successful business case of investing in the development of a new product, careful attention must be paid to risk analysis in terms of the present value of future potential income. The article considers an example of the research work of the Latvia University of Life Sciences and Technologies, in the framework of which a technical and technological project was developed to produce a new product, like Mediterranean anchovy, from cheaper Baltic sprats. The main goal of this work is to explore the application multi-factor sensitivity and fuzzy real option analysis to the valuation of new product development project. The multivariate analysis of the sensitivity of the financial model of the greenfield production project described in this article revealed the main risk groups, as well as their degree of influence on the assessment of the Net Present Value of the project by a potential investor. The use of Fuzzy Real Option Valuation made it possible to evaluate the project with uncertain parameters, as well as to calculate the potential upside from preliminary refinement of parameters to eliminate negative scenarios. The described approach is applicable to risk assessment of new food product development and allows investors to make a more informed decision about participation in such projects.


2013 ◽  
Vol 746 ◽  
pp. 551-556
Author(s):  
Federica Cucchiella ◽  
Massimo Gastaldi

The main scope of this paper is to perform a real options analysis that is often recommended as an emerging valuation technique for high-risk investment projects. The pharmaceutical sector is a sector where the real option can be positively applied to incorporate the flexibility and the risks of the new product development. In this paper the real option theory is applied to a pharmaceutical company that is developing a particular new product. Due to the uncertain nature of the new product development, it can be strategic to evaluate the real option benefits for the investment under analysis.


2013 ◽  
Vol 404 ◽  
pp. 802-807
Author(s):  
Kang Qu Zhou ◽  
Dai Quan Yu ◽  
Yan Xiao ◽  
Xiao Li Zhang

Automobile is a typical multi-stage split charging and assembly manufactured product. It can be divided into engine, body, chassis and electrical four modules functionally. Auto parts proportion is defined as the ratio of purchasing costs of a given part to the total costs. In this paper, an auto parts proportion model is proposed by means of matrix and statistical analysis, a benchmarking proportion calculating model of various vehicle types is presented by means of average and mode comparison. On the basis of these models, target costs of auto-parts, systems and modules can be calculated. These models and methodologies have been used in the processes of new product development costs controlling and developed products costs reduction in a big scale automobile company.


2017 ◽  
Vol 2017 ◽  
pp. 24-28
Author(s):  
Fabio Shimabukuro Sandes ◽  
◽  
Fundacao Getulio Vargas

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