Article ID: | iaor19961562 |
Country: | United Kingdom |
Volume: | 2 |
Issue: | 4 |
Start Page Number: | 321 |
End Page Number: | 329 |
Publication Date: | Oct 1995 |
Journal: | International Transactions in Operational Research |
Authors: | Lin C., Madu C.N., Kuei C.-H., Yeh J.-M. |
Keywords: | neural networks, analytic hierarchy process |
New product introduction is vital to a firm’s growth and prosperity. A company needs to develop a process to determine how to find and develop new product ideas and finally, how to successfully introduce them into the marketplace. To address this problem, this study proposes a new approach that combines neural network, analytic hierarchy process (AHP) and linear programming. A neural network is used to classify the feasibility of ideas/projects in new product development and the theory of AHP is applied to evaluate the interdependence among projects. A linear programming model is then developed and used to allocate the limited financial resources of the firm to the competing projects.