Multi-Objective Programming for Constructing the Innovation Model: The Case of A LED Company

• Main Authors: Jheng-Ren Hsu, 許政仁
• Other Authors: Yu-Jing Chiu
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/89549986983998956535

碩士 === 中原大學 === 企業管理研究所 === 98 === In traditional concept, a innovation process is difficult to be systematically formulated as a model. In this study, the innovation process is viewed as the extension of an optimization problem with multiple conflicting objectives. The study adopt the De-Novo of the multi-objective programming means by Zeleny (1986, 1995). The De-Novo can reduce the conflicts among multiple objectives leads to innovation. The study build up a multi-objective programming model by collection the available R&D resources data from R&D department of the LED manufacturer. Evaluated the formula, I acquire a set of compromise solution under the constraints of limited resource. Based on Chen (2004), he introduces technological progress into De-Novo. This study verify that multiple R&D objectives could be simultaneously optimized without trade-off under the constraints of limited resource if more financial supports are added. A traditional multi-objective programming problem is generally implemented as follows: (a) define the decision variables and objectives of a problem, (b) specify the constraints of this problem, and (c) select an appropriate method to solve the problem so that compromised solutions are available to the decision maker. However, the compromised solutions should not be viewed as the completion of the multi-objective programming approach – they are just the short-term equilibrium of the problem. The solution by De-Novo is the Mid-term equilibrium as a Incremental innovation. To achieve Radical Innovation (Long-term equilibrium) must consume more resource and time than short-term, Mid-term equilibrium. In this study, this study show the multi-objective problem (innovation process) is eventually a sustainable and dynamic process with three different equilibria.