Entity

Time filter

Source Type


Li Y.,Xian Jiaotong University | Li Y.,The Key Laboratory of the Ministry of Education for Process Control and Efficiency Projects | Sun L.,Xian Jiaotong University | Sun L.,The Key Laboratory of the Ministry of Education for Process Control and Efficiency Projects | And 2 more authors.
Energy Policy | Year: 2013

China faces growing environmental problems as rapid economic growth comes at the cost of excessive resource consumption. Sustainable development can only be realized by reducing energy intensity. Although some general factors that influence energy intensity have been described, less information is available to compare energy intensity in different regions. Here we use existing literature to assess the effects of three internal factors (economic structure, energy consumption structure, and technological progress) on energy intensity in three regions of China. We use panel data from 2000 to 2009 and find that the effects of each factor differ in each region. We further differentiate these effects by decomposing technological progress into three parts using the DEA-Malmquist approach. We find three components of technological change have completely different effects in each region. Furthermore, these findings are applied to propose relevant suggestions to reduce energy intensity in different regions of China. © 2013 Elsevier Ltd. Source


Li J.-L.,Xian Jiaotong University | Li J.-L.,The Key Laboratory of the Ministry of Education for Process Control and Efficiency Projects | Gao J.,Xian Jiaotong University | Gao J.,The Key Laboratory of the Ministry of Education for Process Control and Efficiency Projects | And 2 more authors.
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | Year: 2014

In a mixed model assembly line, the demands for products are usually uncertain. When the actual demands are larger than expectation, capacity adjustments should be made. The difficulty and cost of these adjustments rely heavily on the initial balancing. To the best of knowledge, the convenience of future adjustment and corresponding cost have not been considered in literature. This paper investigates the line balancing problem in a mixed model assembly system which faces uncertain demand and makes use of overtime work to meet unexpected demands. The objective is to minimize the expected labor cost, including cost for normal operation and overtime work. A mathematical model is built and a method is proposed to estimate the cost lower bound, based on which a single pass heuristic is designed. The numerical experiment shows that the algorithm is effective and efficient. Source


Yang C.-J.,Xian Jiaotong University | Yang C.-J.,The Key Laboratory of the Ministry of Education for Process Control and Efficiency Projects | Gao J.,Xian Jiaotong University | Gao J.,The Key Laboratory of the Ministry of Education for Process Control and Efficiency Projects | And 2 more authors.
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | Year: 2013

Within the lifetime of a modern production system, mixed-model assembly line rebalancing problems caused by new product introduction are frequently aroused. This paper considered the rebalancing cost and efficiency of the new line simultaneously. A new method evaluating rebalancing cost was proposed and the rebalancing model was formulated. A multi-objective genetic-algorithm was developed to solve this problem. The performance of the algorithm was tested on mixed-model balancing benchmark problems. Experimental results show that this algorithm can solve the rebalancing problem effectively and outperforms algorithm proposed by Merengo et al. Source

Discover hidden collaborations