执行新会计准则绿化工程成本控制体系的建立

针对施工企业工程计划、预算部门与财务核算部门工程成本数据的脱节的问题,结合新会计准则,探讨工程与财务部门的结合、科目设置、费用的归集以及电算化核算等问题,以便更好地控制绿化园林施工企业成本。     

Multicriteria decision making for optimal blending for beneficiation of coal: a fuzzy programming approach

Beneficiation of coal refers to the production of wash coal from raw coal with the help of some suitable beneficiation technologies. The processed coal is used by the different steel plants to serve their purpose during the manufacturing process of steel. The present paper deals with the optimal planning for blending raw coal of different grades used for beneficiation with a view to satisfy the requirements of the end users with desired specifications. The input specifications of coal samples are known whereas the output specifications are imprecise in nature. The aim of the work is to fix the level of the raw coal from different coal seams to be fed for beneficiation to meet the desired target of yield and ash percentage to maximum extent. Further, it is also desired by the decision-maker (DM) to restrict the input cost of raw coal to be fed for beneficiation. The problem is modeled as multicriteria decision-making problem with imprecise specifications. Fuzzy set theoretic approach has been used and a corresponding model has been developed. The solution of the problem would enable the DM to optimize the raw coal feed with existing available specifications from different collieries along with the overall degree of satisfaction.     

Ambidexterity as a dynamic capability: Resolving the innovator's dilemma

How do organizations survive in the face of change? Underlying this question is a rich debate about whether organizations can adapt—and if so how. One perspective, organizational ecology, presents evidence suggesting that most organizations are largely inert and ultimately fail. A second perspective argues that some firms do learn and adapt to shifting environmental contexts. Recently, this latter view has coalesced around two themes. The first, based on research in strategy suggests that dynamic capabilities, the ability of a firm to reconfigure assets and existing capabilities, explains long-term competitive advantage. The second, based on organizational design, argues that ambidexterity, the ability of a firm to simultaneously explore and exploit, enables a firm to adapt over time. In this paper, we review and integrate these comparatively new research streams and identify a set of propositions that suggest how ambidexterity acts as a dynamic capability. We suggest that efficiency and innovation need not be strategic tradeoffs and highlight the substantive role of senior teams in building dynamic capabilities.     

接收天线等效电路的严格推导

从场的观点出发,利用反应概念并结合互易定理严格证明了接收天线可以等效为传统基于开路电压的等效模型,并指出了当电场分别与接收模式下和发射模式下的电流作反应时,将得到不同的等效电路参数;结合偶极子天线的数值例子,说明了传统的开路电压模型在接收系统的分析中更为方便、合理。     

氨基酸分析的新方法——积分脉冲安培检测-高效阴离子交换色谱法

介绍一种新型氨基酸分析方法——采用积分脉冲安培检测的高效阴离子交换色谱法(HPIC-IPAD) 对氨基酸的阴离子交换色谱分离和积分脉;中安培检测进行了较详细的讨论 对方法的应用做了简要介绍。该方法与其它方法比较,无须进行柱后或柱前衍生反应,对氨基酸可以直接进行分析,灵敏度较高 大多数氨基酸的检测限小于1pmol,线性范围可以达到3个数量级以上。     

基于SRFML-Lift的流程制造产品质量状态监测

对流程制造型企业而言,产品质量状态的监测精度直接影响了企业的生产与运营成本。面对流程工业的多变量监测要求和数据不均衡性,以往研究主要采取局部建模策略或多输出模型,存在特征选择偏差和分类精度不高的问题。对此,本文设计了一种结合SRFML特征选择和Lift学习策略的质量状态监测模型,通过共享不同目标之间的信息以期提升模型的监测效果。首先,根据ReliefF过滤机制,引入重采样赋权思想对工业特征的选择过程进行优化(SRFML);然后,将选择结果作为Lift学习框架的输入,通过类属属性学习方式重塑各待监测特性的特有关联属性;最后采用多个SVM分类器进行训练,得到各目标的质量状态结果。结果表明,本文构建的SRFML-Lift充分学习了原始特征的关键信息,与其他组合策略相比,对质量状态的监测效果更佳,可应用于流程工业的生产管理实践。     

The use of a model in long term planning—A case history

Long term planning in companies can range from the partial simplistic approach to a structured time-consuming ritual. Either extreme can bring planning into disrepute, and both reflect the lack of the proper tools of the trade. Models, by themselves, are no panacea, but properly conceived, constructed, and developed they can transform the planning process. The key to effective and practical models is use, and this can be achieved through direct management involvement on the model's development, and by making sure the model is basically simple and flexible. This article describes how such a model was constructed using a modular approach, and how it was used effectively in long term planning.     

Cybernetic Risk Analysis

The Pearl Harbor case study reveals that risk analysis failure may be caused by any of a number of factors. However, the most important variables are system load, gain, lead time, and lag time. The dynamics of such cybernetic systems analysis constitute an important aspect in this regard. Four different risk management strategies, or organization designs, have been proposed in this paper. Each has a unique combination of the imputed variables and each has a unique cause of surprise, risk analysis failure, and crisis.     

Analytical network process for software selection in product development: A case study

Application of software for manufacturing processes is one of the resolutions many enterprises have resorted to in the 21st century. This has been a result of increased complexity of products, globalization, rapid changes in technology and so on. The idea was that application of software especially for product development would increase the competitive advantage of industry nevertheless the irony has been that most of the investment in software has not achieved the expected results. We carry out a case study to introduce a methodology, the analytical network process as a multiattribute strategic decision making approach to help in the selection of appropriate software to suit the product development process of a particular product.