http://www.seipub.org/ssmr/RSS.aspxen-US2016-0<p class="abstract">Research on Equipment Maintenance Policy Method under Uncertain Environment</p><ul><li>Pages 1-4</li><li>Author She LiuShijie WangHuizhi Re</li><li>Abstract The application of optimal maintenance policy is investigated for minimizing the equipment breakdowns and maintenance cost. The types of equipment maintenance policy are analyzed in this article, to study the dependence of failure on equipment life. Meanwhile, it is difficult to establish an accurate failure rate prediction model due to the lack of data collection. In order to solve practical problems, equipment failure prediction model is proposed based on grey Markov model. Consider that the actual failure interval of equipments is to contribute to maintenance planning and scheduling, it is used for statistical analysis of the failure trend. Background value of GM (1, 1) model is optimized by the application of PSO aiming at getting accurate prediction curve. A case study of a open-pit mining is provided as an example to demonstrate the validity of the proposed methods. Comparison of traditional model that improved model shows the efficiency of the methods.</li></ul>http://www.seipub.org/ssmr/PaperInfo.aspx?ID=33506Service Science and Management Researchhttp://www.seipub.org/ssmr/PaperInfo.aspx?ID=335062016-0<p class="abstract">Analysis of Strategic Emerging Industries’ Support Factors</p><ul><li>Pages 5-9</li><li>Author Li-Xin QiuJia-Jia Ha</li><li>Abstract Since the 21st century, new technology has developed rapidly, a new round of industrial revolution is in the pregnant. The strategic emerging industry in economic and social development plays a more and more important role. This paper mainly analyses the supporting elements of strategic emerging industries; and then using the principle of system dynamics, the elements of strategic emerging industries in a system are included and studied; and combining with the data of strategic emerging industry of Shandong province, this present study forecasts its future trend and provides a reference for relevant policy making.</li></ul>http://www.seipub.org/ssmr/PaperInfo.aspx?ID=36336Service Science and Management Researchhttp://www.seipub.org/ssmr/PaperInfo.aspx?ID=36336