首先采用文献研究法识别出39个再生混凝土(Recycled Aggregate Concrete,RAC)推广因素,然后采用德尔菲法确定了20个主要推广因素,最后采用决策实验法和评价实验法(Decision Making Trial and Evaluation Laboratory,DEMATEL)与解释结构...首先采用文献研究法识别出39个再生混凝土(Recycled Aggregate Concrete,RAC)推广因素,然后采用德尔菲法确定了20个主要推广因素,最后采用决策实验法和评价实验法(Decision Making Trial and Evaluation Laboratory,DEMATEL)与解释结构模型(Interpretative Structural Modeling,ISM)相结合的方法,即DEMATEL-ISM方法,对上述因素进行了分析。研究发现,客户对RAC的价格敏感度、RAC生产成本、品牌信任度、市场定位和品牌建设、品质和可靠性需求以及产品质量是影响RAC推广的关键因素。根据研究结果,提出了RAC的相关推广策略。展开更多
Decision in reality often have the characteristic of hierarchy because of the hierarchy of an organization＇s structure. In this paper, we propose a two-level hierarchic Markov decision model that considers the intera...Decision in reality often have the characteristic of hierarchy because of the hierarchy of an organization＇s structure. In this paper, we propose a two-level hierarchic Markov decision model that considers the interactions of agents in different levels and different time scales of levels. A backward induction algo- rithm is given for the model to solve the optimal policy of finite stage hierarchic decision problem. The proposed model and its algorithm are illustrated with an example about two-level hierar- chical decision problem of infrastructure maintenance. The opti- mal policy of the example is solved and the impacts of interactions between levels on decision making are analyzed.展开更多
文摘首先采用文献研究法识别出39个再生混凝土(Recycled Aggregate Concrete,RAC)推广因素,然后采用德尔菲法确定了20个主要推广因素,最后采用决策实验法和评价实验法(Decision Making Trial and Evaluation Laboratory,DEMATEL)与解释结构模型(Interpretative Structural Modeling,ISM)相结合的方法,即DEMATEL-ISM方法,对上述因素进行了分析。研究发现,客户对RAC的价格敏感度、RAC生产成本、品牌信任度、市场定位和品牌建设、品质和可靠性需求以及产品质量是影响RAC推广的关键因素。根据研究结果,提出了RAC的相关推广策略。
基金Supported by the National Natural Science Foundation of China (70971048)
文摘Decision in reality often have the characteristic of hierarchy because of the hierarchy of an organization＇s structure. In this paper, we propose a two-level hierarchic Markov decision model that considers the interactions of agents in different levels and different time scales of levels. A backward induction algo- rithm is given for the model to solve the optimal policy of finite stage hierarchic decision problem. The proposed model and its algorithm are illustrated with an example about two-level hierar- chical decision problem of infrastructure maintenance. The opti- mal policy of the example is solved and the impacts of interactions between levels on decision making are analyzed.
