In order to improve success rate of new product development, an intelligent decision support system based on multi-agent for new product development is presented. The dialogue layer, problem decomposition layer, control layer and problem solving layer in the decision process are studied; corresponding decision support apply modules are built based on the design idea of decision support system with multistructure through the share of resource and information; the design principles of product development decision support system and general design schemes are proposed. The system is comprised by eight modules of data collection, data management, statistical analysis, breakeven analysis, risk prediction analysis, resource optimization scheduling, expert system and information exchange, and the functions of each module are designed and described, and the solutions of decision based on MAS are proposed.

An intelligent decision support system based on MAS for new product development is presented for enhancing the success rate of new product development. The dialogue layer, problem decomposition layer, control layer and problem solving layer in the decision process are studied; corresponding decision support apply modules are built based on the design idea of decision support system with multi-structure through the share of resource and information; the design principles of product development decision support system and general design schemes are proposed. Decision support system for product development is divided into two levels of enterprise internal management system and external management system by the function of system, linkage mode, user's level and geographical location, and the levels are combined to be a whole on the unified hardware and software platform through communication system.

In order to promote the cooperation between enterprises in networked manufacturing alliance enterprise, and make development and manufacture resource optimally collocate and share among alliance enterprises, and raise the rate of alliance enterprise's development and the utilization of manufacture resource, and reduce the waste for repetitive investment, fuzzy assignment as well as genetic algorithm are adopted in the research of optimal scheduling of resources. Optimal scheduling of product development resources have been described, and mathematical model of optimal scheduling of product development resources have been established. The solving method combining of fuzzy assignment and genetic algorithm has offered according to different objective function. Simulation analysis is used on model and solution algorithm verifying the correctness of theoretical research.

The main design challenges of the wireless sensor network is to obtain long system lifetime, as well as maintain sufficient sensing coverage and reliability. In this paper, a novel node-scheduling algorithm based on grade field model is presented. The grade transition algorithm in different grade field is depicted and analyzed. This algorithm can decrease network traffic and avoid additional cooperative time waste. By using this algorithm, the energy of the sensor nodes can be consumed equably and also the system life of the network can be prolonged.

Design a general embedded web management model based on the Simple Network Management Protocol (SNMP), this model integrates the Java technique with abundant GUI interface to monitor and represent the device, it can makes the manager remotely monitor the device anytime and anywhere; and then design the architecture of each component respectively. Finally, the real-time performance has been test to prove the rationality, practicability and reliability of the model. The test shows that this model can be used to monitor remote device seamlessly, automatically and transparently.

Investigates the production mode available to individualize the customized products, then puts forward an individualized customization system framework that is oriented toward networked manufacturing under the production of small batch even single piece, with the operation procedure of the system analyzed. In the system, Bayesian method is introduced to infer what state the design of a product is in when it is doing jointly by a client, designer and technologist at different places according to the prior knowledge they have grasped and relevant statistics. Java3D is used as a 3D display technique to generate 3D objects driven by design parameters input by client. The system software is developed by Java language according to the system transplantability and supporting network communication. Through such a system, clients and designers can customize jointly the products to meet customers' requirements.

According to the theory of Shannon entropy,the Internet standard entropy was defined.By using the global Internet monitor data provided by CAIDA Skitter project,the change of the Internet standard entropy with time were computed and the results using the monitor data got by riesling showed that the Internet standard entropy was reduced from the maximum 0.379 in April 2000 to 0.318 in May 2004,i.e.,the reduction per month was 0.12 percent.On the other hand the computing results using the monitor data got by apan_-jp showed that the Internet standard entropy was reduced from the maximum 0.388 in April 2000 to 0.297 in May 2004,i.e.,the reduction per month was 0.18 percent.The difference between them revealed that the Internet standard entropy tends to reduction.It implies that there is an information metabolism in the evolution process of Internet's macrotopological structure.

Analyses the deficiency of conventional designation and introduces the rough sets theory and fuzzy designation of human resource. Then, the fuzzy designation of human resource in the process of developing new products of a company in dynamic alliance is studied. A mathematics model is thus developed, by which the competency indices of technical personnel are reduced attributively with weight coefficients calculated through the theory of variable precision rough sets. In the index attribute, the personal will of technical personnel is considered to make them more active. The index attribute is evaluated fuzzily by experts to form compound matrices in accordance to the weight coefficients based on rough sets. The compound matrices are converted to a single-target decision problem which can be solved by Hungary algorithm. Some numerical examples are given to illustrate the validity of the algorithm proposed and the practicability of the model.

Based on the request/response mode of client/server,a collaborative parallel design-manufacture mechanism is implemented using the existing net resource and technology,where the design and the manufacture are not only in cooperation but independent of one another,so,a network frame of E-manufacture and its technical parameter optimization are also given with the maximum productivity taken as the optimization target.An optimization model of technological parameters in milling process is set up to ensure the giving surface roughness by network.The NC machining process is simulated and demonstrated on web,thus networking preliminarily the design-manufacture process as a whole.

Internet topology is highly orderly at its router level. According to the basic theory of Shanon's informational entropy, the Internet structure entropy and Internet standard structure entropy were computed using the Internet data provided by CAIDA skitter project. Furthermore, by simulating experiment, the changes in service efficiency, mean shortest path and standard structure entropy were also computed in the circumstance where the Internet is attacked either maliciously or randomly, thus revealing that the scale-free Internet topology is just the main influencing factor on the robustness of Internet. It is seen from the experimental result that Internet is robust to random attack but frail to vicious attack because it has a scale-free effect.