试谈入世后的企业情报工作

从企业情报工作的特点、作用并结合国内外竞争情报业的发展现状试谈入世后对企业情报工作的要求     

信息化时代企业情报工作与时俱进

针对信息化时代企业情报工作面临的新课题，结合本企业情况，从成为企业技术创新的加油站、成为职工素质提高的资源库、成为企业获取和分析竞争环境的侦察兵、成为企业信息安全的保护伞等方面论述了企业情报工作与时俱进等理念和方法。     

寻求廉价生产要素以降低成本提高矿山企业竞争力

目前 ,冶金矿山企业应以降低生产成本为中心 ,积极寻求廉价生产要素 ,采用节能新工艺、新设备及优化流程等措施 ,提高企业竞争力     

Ski rental with two general options

We define and solve a simple extension of the ski-rental problem [A.R. Karlin, M.S. Manasse, L. Rudolph, D.D. Sleator, Competitive snoopy caching, Algorithmica 3 (1) (1988) 77-119]. In the classical version, the algorithm needs to decide when to switch from renting to buying. In our version, no pure buy option is available: even after switching to the buy option, the algorithm needs to pay some reduced rent.     

Methodology for competitive strategy development

Fighting terrorists involves taking action against a highly adaptive and cunning adversary. In this competitive situation, however, those involved may have dissimilar objectives. Given this difference of purpose, selecting an optimal strategy to achieve one's objectives can be a complex task. Techniques from decision theory, and specifically value focused thinking (VFT), are proven approaches for developing creative strategies to yield better decisions. However, these methods are focused on one decision maker choosing an optimal decision without reference to the affect the decision has on other decision makers and without reference to the affect the decisions of others have on them. On-the-other-hand, techniques especially suited for analyzing competitive situations, such as game theory, assume strategies exist without guidance on how to develop the strategies. This paper presents a methodology to bridge this gap by providing a means to develop strategies in competitive situations where the objectives of those involved are not necessarily the same.     

Application of a three-component competitive adsorption model to evaluate and optimize granular activated carbon systems

A recently developed kinetic model for granular activated carbon (GAC) adsorbers (COMPSORB-GAC) that quantitatively describes the adsorption of trace organic contaminant in the presence of competing natural organic matter (NOM) was applied to evaluate the performance of different GAC system configurations: conventional fixed-bed adsorbers, layered upflow carbon adsorbers (LUCA), and moving-bed adsorbers (with few or many bed sections). COMPSORB-GAC separately tracks the adsorption of three components: a trace compound, a strongly competing NOM fraction that reduces trace compound equilibrium capacity, and a pore-blocking NOM fraction that reduces kinetics. Performance was simulated for various design criteria and with model parameters derived for two natural waters with significantly different NOM concentrations. For the range of simulated conditions and with baseline performance defined by a fixed-bed adsorber, LUCA generally reduced carbon usage rates (CURs) by 15-35%. A 2-section and a 16-section moving-bed reactor reduced baseline CURs by 20-30% and 45-55%, respectively. Projected CURs for the water source with a relatively high NOM concentration were 2-3 times higher for all reactor configurations and indicated that NOM preloading would cause performance deterioration in deep GAC beds, which highlights the importance of source water quality. These results show how COMPSORB-GAC can be used in a comprehensive, site-specific optimization of GAC systems to ensure robust system performance and to balance capital and operating costs.     

Maximal covering location problem with price decision for revenue maximization in a competitive environment

In this article, we extend the classical maximal covering model in a competitive environment by including a price decision. We formulate a revenue maximization model and propose two procedures to solve it. By a careful examination of the relationships between the maximal covering problems for different prices, we reveal interesting properties of the deduced revenue maximization model, leading to a full enumeration solution approach. With the help of two more properties we develop a second, more intelligent solution procedure. Computational experiments show promising results for a small, medium and large case study.     

Analysis and visualisation with host-based software – The features of STNAnaVist™

This article is based on experiences with data and text mining to gain information for strategic business decisions, using host-based analysis and visualisation (A/V), primarily in the field of patents. The potential advantages of host-based A/V are pointed out and the features of the first such A/V software, STN^®AnaVist™, are described in detail. Areas covered include the user interfaces, initial set of documents for A/V, data mining, text mining, reporting, and suggestions for further development.     

Effect of Solidifcation Rate on Grain Structure Evolution During Directional Solidifcation of a Ni-based Superalloy

The effect of solidification rate on grain structure evolution during directional solidification(DS) of a Ni-based superalloy was explored.It was found that a high solidification rate led to sharper <001> texture and smaller grain size in the DS samples.One of the most important findings in this work was that such result was not in accordance with the general concept,and the sharper <001> texture was accompanied by the larger grain size.To explain the contradiction,the modeling samples with five grains were produced and the effect of solidification rate on the evolution of grain texture was illustrated based on the modeling samples.