Strategy Choices in Logistic Enterprises： Porter＇s View vs Network Approach

Compared with traditional enterprises, strategy choice and implementation for logistic enterprises has its particularity. This paper discusses character of logistic enterprises and analyzes the different genres of strategy, and then the paper introduces the choice of strategy based on network approach. Finally, the authors explain how to ensure the programming and implementation of strategy from different point of view such as financial perspective, client perspective, procedure perspective, internal and organizational learning perspective.

Manufacturing enterprise collaboration network:An empirical research and evolutionary model

With the increasingly fierce market competition,manufacturing enterprises have to continuously improve their competitiveness through their collaboration and labor division with each other,i.e.forming manufacturing enterprise collaborative network(MECN)through their collaboration and labor division is an effective guarantee for obtaining competitive advantages.To explore the topology and evolutionary process of MECN,in this paper we investigate an empirical MECN from the viewpoint of complex network theory,and construct an evolutionary model to reproduce the topological properties found in the empirical network.Firstly,large-size empirical data related to the automotive industry are collected to construct an MECN.Topological analysis indicates that the MECN is not a scale-free network,but a small-world network with disassortativity.Small-world property indicates that the enterprises can respond quickly to the market,but disassortativity shows the risk spreading is fast and the coordinated operation is difficult.Then,an evolutionary model based on fitness preferential attachment and entropy-TOPSIS is proposed to capture the features of MECN.Besides,the evolutionary model is compared with a degree-based model in which only node degree is taken into consideration.The simulation results show the proposed evolutionary model can reproduce a number of critical topological properties of empirical MECN,while the degree-based model does not,which validates the effectiveness of the proposed evolutionary model.

Research on the Enterprise Management and Employee Incentive Mechanism under the Environment of Enterprise Social Networks

In this paper, we conduct research on the enterprise management and the related employee incentive mechanism under the environment of enterprise social networks. As the sharp change in the environment, the enterprise how to win the competitive advantage for a long time which caused many strategic management thinking, to promote the new development of the theory of the strategic management. Our designed mechanism will enhance the management activities and promote the general value of the employees which has significant meanings.

Study on Coordinated Development of Regions Based on the Construction of Enterprise Value Network

Under the background of constructing harmonious economic society, how to realize the coordinated development of regions in the course of region integration is a key problem. According to the relevant theory of enterprise gene reconfiguration and enterprise value network construction, we analyzed the problems in the merging course between the value network construction and region economic growth. Finally, we put forward the basic path of coordinated development of regions.

Analyses on Four Models and Cases of Enterprise Informatization

The basic conditions of the enterprise informatization in Heilongjiang province are analyzed and 4 models are designed to drive the industrial and commercial information enterprise. The 4 models are the Resource Integration Informatization Model, the Flow Management Informatization Model, the Intranet E-commerce Informatization Model and the Network Enterprise Informatization Model. The conditions for using and problems needing attentions of these 4 models are also analyzed.

Forecasting and optimal probabilistic scheduling of surplus gas systems in iron and steel industry

To make full use of the gas resource, stabilize the pipe network pressure, and obtain higher economic benefits in the iron and steel industry, the surplus gas prediction and scheduling models were proposed. Before applying the forecasting techniques, a support vector classifier was first used to classify the data, and then the filtering was used to create separate trend and volatility sequences. After forecasting, the Markov chain transition probability matrix was introduced to adjust the residual. Simulation results using surplus gas data from an iron and steel enterprise demonstrate that the constructed SVC-HP-ENN-LSSVM-MC prediction model prediction is accurate, and that the classification accuracy is high under different conditions. Based on this, the scheduling model was constructed for surplus gas operating, and it has been used to investigate the comprehensive measures for managing the operational probabilistic risk and optimize the economic benefit at various working conditions and implementations. It has extended the concepts of traditional surplus gas dispatching systems, and provides a method for enterprises to determine optimal schedules.

PRECESION： progressive recovery and restoration planning of interdependent services in enterprise data centers

The primary focus of this paper is to design a progressive restoration plan for an enterprise data center environment following a partial or full disruption. Repairing and restoring disrupted components in an enterprise data center requires a significant amount of time and human effort. Following a major disruption, the recovery process involves multiple stages, and during each stage, the partially recovered infrastructures can provide limited services to users at some degraded service level. However, how fast and efficiently an enterprise infrastructure can be recovered de- pends on how the recovery mechanism restores the disrupted components, considering the inter-dependencies between services, along with the limitations of expert human operators. The entire problem turns out to be NP- hard and rather complex, and we devise an efficient meta-heuristic to solve the problem. By considering some real-world examples, we show that the proposed meta-heuristic provides very accurate results, and still runs 600-2800 times faster than the optimal solution obtained from a general purpose mathematical solver [1].

A Genetic Algorithm and Analysis of Designing Large Enterprise Network Topology

The design of enterprise network topology is in fact a multi-object nonlinear programming problem. In this paper, distance, traffic distribution and transmission delay are chosen as the important factors to be considered in the subnetwork partition of the network topology design. A mathematical model is presented and The Genetic Algorithm is used to solve the optimization object function. The application results demonstrate that the method can well solve the problem of subnetwork partition.

An Aided Tool for Enterprise Network Design

With the rapid development of network technologies, it is necessary to make use of an aided tool (AT) to help enterprise network design (END). The AT must process many requirements qualitatively and quantitatively and then give out the logical network guidance and preferred solution. The AT also needs to carry out a simulation program, and gives the feasibility report. This paper will introduce the authors research work on above aspects.

Network Systems in CIM Environment

This paper discusses the architecture. protocol standards, and the design strategy of network systemsin the CIM environment. The first part describes problems in standardizing communication protocols, analyses communication attributes in the CIM environment. and explains our strategies. The second part presents the design ofthe CIMS/ERC network system and its traffic statistics.

Pre-scan based fast handoff scheme for enterprise IEEE 802.11 networks

In IEEE 802.11 networks, many access points（APs） are required to cover a large area due to the limited coverage range of APs, and frequent handoffs may occur while a station（STA） is moving in an area covered by several APs. However, traditional handoff mechanisms employed at STAs introduce a few hundred milliseconds delay, which is far longer than what can be tolerated by some multimedia streams such as voice over Internet protocol（Vo IP）, it is a challenging issue for supporting seamless handoff service in IEEE 802.11 networks. In this paper, we propose a pre-scan based fast handoff scheme within an IEEE 802.11 enterprise wireless local area network（EWLAN） environment. The proposed scheme can help STA obtain the best alternative AP in advance after the pre-scan process, and when the handoff is actually triggered, STA can perform the authentication and reassociation process toward the alternative AP directly. Furthermore, we adopt Kalman filter to minimize the fluctuation of received signal strength（RSS）, thus reducing the unnecessary pre-scan process and handoffs. We performed simulations to evaluate performance, and the simulation results show that the proposed scheme can effectively reduce the handoff delay.