Optimization and neural network in new product development

C. Lin, C. N. Madu, C. H. Kuei, J. M. Yeh

研究成果: Article同行評審

1 引文 斯高帕斯(Scopus)


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 (LP). 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.

頁(從 - 到)321-329
期刊International Transactions in Operational Research
出版狀態Published - 1995 十月

All Science Journal Classification (ASJC) codes

  • 商業與國際管理
  • 電腦科學應用
  • 策略與管理
  • 管理科學與經營研究
  • 技術與創新管理


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