基于精准供给教学团队建设的路径与成效--以广东生态工程职业学院林业技术专业群为例

教学团队的建设是职业教育的关键,高质量的师资力量能够明确人才培养目标、保证教学质量、推动专业建设、实现人才的精准供给。文中以广东生态工程职业学院林业技术专业群为例,基于精准供给的视角,总结了教学团队建设的路径:一是构建合理的团队结构;二是建立团队带头人管理机制;三是建立"传帮带"培养模式;四是推进校企合作机制;五是构建技能学习型团队;六是强化信息化教学。实践证明,加强教学团队的建设,对促进专业的发展、实现人才精准供给具有积极的作用。     

Strain prediction for critical positions of FPSO under different loading of stored oil using GAIFOA-BP neural network

FPSO (floating, production, storage and offloading) units are widely used in the offshore oil and gas industry. Generally, FPSOs have excellent oil storage capacity owing to their huge oil cargo holds. The volume and distribution of stored oil in the cargo holds influence the strain level of hull girder, especially at critical positions of FPSO. However, strain prediction using structural analysis tools is computationally expensive and time consuming. In this study, a prediction tool based on back-propagation (BP) neural network called GAIFOA-BP is proposed to predict the strain values of concerned positions of an FPSO model under different oil storage conditions. The GAIFOA-BP combines BP model and GAIFOA which is a combination of genetic algorithm (GA) and an improved fruit fly optimization algorithm (IFOA). Results from three benchmark tests show that the GAIFOA-BP model has a remarkable performance. Subsequently, a total of 81 sets of training data and 25 sets of testing data are obtained from experiment using fiber Bragg grating (FBG) sensors installed on the surface of an FPSO model. The numerical results show that the GAIFOA-BP is capable of predicting the strain values with higher accuracy as compared with other BP models. Finally, the reserved GAIFOA-BP model is utilized to predict the strain values under the inputs of a 10-day time series of volume and distribution of stored oil. The predicted strain results are further used to calculate the fatigue consumption of measurement points.     

道路运输行业安全监管现状分析及对策研究

结合道路运输行业安全监管现状,从道路运输行业安全监管职责和内容、监管方式、安全检查方面对道路运输行业安全监管存在的问题进行分析,并有针对性的提出了相应的建议和对策。     

大数据时代我国快递业的发展现状与趋势

把握快递行业未来发展方向，梳理了大数据技术在快递行业的应用场景并分析了大数据技术对快递行业的影响。分析结果表明，大数据技术能帮助快递企业进行最优配送方案推荐、实时监控车辆设备、解构行业数据、分析市场格局等，从而帮助行业提升配送效率、降低配送成本。未来，快递行业将充分利用大数据技术加强对物流数据的收集、分析与业务应用。在大数据技术影响下，快递企业将呈现四大发展趋势：（1）时效进一步提升，成本继续降低；（2）从快递向物流上下游串联；（3）从国内向国际网络不断外扩；（4）先进的数据分析技术向其他行业外溢。     

我国装备制造业技术创新体系中企业主体作用激活问题研究

此文主要论述了我国装备制造业技术创新系统中企业主体的能动性问题.首先梳理了我国装备制造业技术创新发展的现状及问题,在此背景下,提出提高装备制造业技术创新系统中企业主体的能动性对我国装备制造业进一步发展起到重要作用,并进一步对我国装备制造业企业技术创新的能动性进行界定和具体分析.根据创新的概念,在综合之前文献的基础上,提出我国装备制造业企业的能动性大体可以分解为能力方面和动力方面,在能力方面,指出外部要素的利用能力、内部要素的管理能力和内外部要素的整合能力构成了企业技术创新能力的三个重要部分;在动力方面,尽管文献中主要涉及市场力、科技力和政策力为企业技术进步的重要动力要素,此文所提出的能动性更强调企业所内生的自觉性和主动性,而非外在的拉动力,这是因为企业内部的动力才是技术创新能动性的不竭来源.此文最后针对我国装备制造业企业主体技术创新的能力和动力方面,提出了提高其能动性的一些初步建议.     

我国船舶行业智能制造的新内涵与应用

加快推动新一代信息技术与先进船舶制造技术深度融合,将对我国船舶行业的发展带来重大影响.本文从分析智能制造的内涵人手,研究探索把人工智能、物联网、大数据、云计算等新技术与智能制造相融合的思路,尝试提出新一代信息技术条件下智能制造的新内涵,并对其在我国船舶行业的应用进行分析,进一步讨论目前发展所面临的问题,最后结合现状提出建议.     

Situation analysis forecasting: the case of European maritime clusters

Within the literature concerned with aspects of competitiveness, innovation and strategic management of industrial clusters, the body regarding forecasting of strategic management is still nascent. This work aspires to render a contribution within the domain of strategic management forecasting, through the indicative case of European maritime clusters. For this end, a two-tier model is formulated. A quantitative strengths, weaknesses, opportunities, and threats (SWOT) methodology that derives from the fusion of a quondam situation analysis and crosstabs’ theory is generated. This leads to the utilization of the crosstab’s conditional probabilities as transition probabilities; the latter are called to compile the transition matrix of a Markov chain. Through this methodology, and the successive Markov chain’s transition matrices, strategic forecasts are extracted for a devised European maritime cluster case. This work relinquishes a novel application with respect to strategic management forecasting, that provides a dichotomy of practical interpretations and scenarios for quantitative situation analysis. Thus, it may enable effective real-time decision-making for strategic management and/or policy drafting. The situation analysis forecasting model may find applicability in a plethora of practical and theoretical cases, wherein forecasting may be desirable. It may as well pertain to an intrinsic methodology for situation analysis forecasting of maritime clusters.     

新常态下工业4.0对我国汽车产业转型升级的启示

阐述了工业4.0的内涵和目的,分析了当前我国汽车产业发展面临的重大挑战,提出了新常态下借鉴工业4.0,加快我国汽车产业转型升级的几点启示。     

英国有轨电车行业管理研究

为促进我国有轨电车行业的有序管理,系统总结了英国有轨电车发展历程以及行业管理部门、 独立监管机构和行业协会的主要职责、做法和经验,以供参考。通过系统梳理英国有轨电车行业的政 策法规和标准规范,结合我国有轨电车行业建设发展情况和存在问题,提出了管理体系建设、法律法 规和标准化等方面的建议,包括我国应加强有轨电车相关法律法规的制修订;应重视有轨电车项目经 济效益的分析和研究,加强投资和决策的引导,促进设计和采购的标准化;应从经济、安全和技术的 角度建立针对有轨电车特点的标准体系;应组织成立行业协会支持政府管理工作等。