CSpace
Technological updating decision–making model for eco–factory through dynamic programming
Chen, Erheng1; Cao, Huajun1; Wang, Kun1; Jafar, Salman1; He, Qinyi2
2018
摘要As the key subject of the green manufacturing system, the construction of eco–factory has become an important content in order to achieve the sustainable development of enterprises. In this paper, a technological updating decision-making model is established based on dynamic programming (DP) for eco–factory. Firstly, the evaluation index system for eco–factory is established. Secondly, the local weight and global weight of each index are calculated based on analytic network process (ANP) and Delphi method. Finally, the decision–making model of eco-factory is established to find the optimal investment plan by using the method of logarithmic fitting and DP. The ANP and Delphi method present a great potential in solving complex and ambiguous problems and the decision-making based on DP can obtain the better ecological benefits through an example of a foundry factory, therefore the feasibility of the proposed method is proved. © Springer Nature Singapore Pte Ltd. 2018.
语种英语
DOI10.1007/978-981-13-2381-2_12
会议(录)名称1st International Conference on Intelligent Manufacturing and Internet of Things, IMIOT 2018 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2018
页码129-138
收录类别EI
会议地点Chogqing, China
会议日期September 21, 2018 - September 23, 2018