| Networked manufacturing is an advanced manufacturing model which has covered all activities of the production and business, and all aspects of the product life cycle. Networked manufacturing emphasizes the collaboration among enterprises and the share of resources within the community. By collaborating and sharing, the enterprises (business groups) can improve the innovation and the manufacturing capability of products. Low-cost and high-speed in designing and manufacturing also will come true.According to the enterprise's organization structure and relation pattern, it can be divided into several groups: Enterprise-group-oriented networked manufacturing; Industry-oriented networked manufacturing; Virtual enterprise-oriented networked manufacturing; Region-oriented networked manufacturing; Independent enterprise–oriented networked manufacturing. And there are two typical application models: the first is CPC (Collaborative Product Commerce) model which is a king of group-oriented exclusive platform. The second is ASP (Application Service Provider) model which is a kind of industry-oriented exclusive platform.At the beginning of this paper, we analyze several technologies of networked manufacturing and their application status at home and abroad. Then raise a program of manufacture resources sharing which is enterprise-group-oriented. After futher study on AHP (Analytical Hierarchy Process) and Gray Relational Theory, we have done some work in two parts: resources evaluation and optimized choose. These two parts are very important to the share of resources. Finally, it comes into being a networked manufacturing prototype system, which is enterprise-group-oriented. The contents and results of this study can be summarized as follows:1. Based on the feasibility analysis of the networked manufacturing resources sharing platform, it is designed to contain several functions, including information management, documents management, resources evaluation, optimized choose, resources encapsulation and system management etc. The information management part includes news and notices query and browse, leave word check and browse. The documents management part includes drawing or technique documents upload, planar drawing on-line browsing. The resources evaluation and optimized choose function contains three parts: local resources browse; beyond resources browse through web service and resources optimized choose. The resources encapsulation part is used to encapsule resources by a web service register guider. The platform has its own UDDI center. In this center, users can query and browse web services which have been registered. The system management part includes users registering, purviews setting, news and notices updating, deleting, and leave word checking etc.2. According to the needs of data storing and querying for all functions, we have designed databases of the information management part, the documents management part, resources, and web service masseges. In order to provide with high reliability and strong self-resumption of the platform, the database system structure is distributed, the smallest redundant will be guaranteed, and the most important data shell be backuped, so that the data losing and breaking caused by accidents or operational mistakes can avoid.3. We have set up a factor system of equipment resources, using the CNC machine tool for example. According to the AHP, this factor system is divided into three levels: the target level, the factor level and the subordinate factor level. The target level of the CNC machine tool is to choose out the best. The factors which affect resources choosing include five aspects: general information, function parameters, state massage, application mode and history record. But the general information has no or little affections to the chooser's decision making, so the factor level of the CNC machine tool contains only the last four factors. Afterwards, we compute the puissances of all factors of the CNC machine tool, preparing for the forth chapter.4. Until now, we have got the puissance of all factors, the next step is to make a standard criterion for measuring factors of the CNC machine tool. In this paper, the factors are divided into two types: cost factors and benefit factors. Cost factors desire small values, the smaller, the better. For example: time of cutter exchanging, times of maintaining, cost etc. Benefit factors desire the opposite, the one which has bigger value is better than others. For example: range of size, single product rate, times of using records etc. We stipulate that: if it is a benefit factor, then give the biggest number to whose value is the biggest; give the smallest number to whose value is the smallest. If it is a cost factor, then do the opposite. All the numbers must be plus integer. Through this way, if the number of one factor is bigger than another, either a cost factor or a benefit factor, this factor is better than others.5. After this, we have set up a method of resources choosing, using the Gray Relational Theory. And describe the details of choosing process, using the CNC machine tool for example. First, we have found out the aggregate of all best factors, according to the standard measuring criterion. Second, we have computed the relational coefficient between each candidate machine and the aggregate of all best factors. We import a distinguish coefficient, namedρ, for incarnating the holistic and preventing for disturbs. Then we analyze the effects of"ρ"to the relational coefficient, and set up principals for"ρ"'s value. Finally, we compute the relational degree of each candidate machine, combining with the puissance of all factors. If the machine's relational degree is bigger, the machine is better.6. Based on learning of web service and its relational technology, we have designed a guide program for the promulgating of web service. It is used to encapsulate beyond resources. A UDDI center also has been set up, users can find out and use web services which have registered, through these web service, the users can look over the masseges of resources which are encapsulated. By this way, all resources can be shared by all users.The enterprise-group-oriented resources shareing platform system raised in this paper is based on the headquarters of the enterprise-group, and covers all the decentralized branch companies. All branch companies can use this system to share the information and optimize the manufacture resources. By this way, the enterprise-group can reduce the cost, shorten the empoldering periods and the producting periods, and also increase the using rate of resources. |
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