面向订单分配的供应商生产负荷率信息获取研究

发布时间：2018-05-06 01:13

本文选题：订单分配 + 生产负荷率　；参考：《宁波大学》2012年硕士论文

【摘要】：通过合理分配订单来均衡集群内多供应商的生产负荷状况，进而实现产业集群内制造资源的优化配置，需要实现企业生产负荷信息在集群内各企业之间共享。然而，目前对生产负荷状况的研究主要局限于企业内部，避开了制造过程负荷状况信息的获取问题，而且通常从制造资源能力、订单任务、产品工艺和企业管理水平等不同方面进行考虑，没有形成合适的、容易获取的参数对其表征，这极大地限制了集群内制造资源配置、调度等问题的深入研究。论文针对订单分配过程中对供应商生产负荷状况信息的需求，，提出以生产负荷率来表征供应商在订单未来完成期内的生产负荷状况，通过分析生产负荷状态的特征、影响因素，建立了生产负荷率计算模型，并得出生产负荷率信息内容及其来源。考虑到生产负荷率信息内容具有数量大、分布广、形式多样和动态变化等特征，以及订单分配环境下部分供应商生产负荷率信息无法直接获取的问题，论文首先通过构建生产负荷率本体模型，以形成领域知识库，从原始信息资源检索、信息内容抽取两大步骤实现基于领域本体的供应商生产负荷率信息内容抽取；然后引入数据挖掘技术，分别采用最大信息熵理论、粗糙集理论来预测不确定生产负荷量和评估供应商生产能力综合效率因子，从可获取的供应商信息资源中挖掘出潜在的、无法直接获取的部分供应商生产负荷率信息；最后基于前面的理论分析，探讨了面向订单分配的多供应商生产负荷率信息获取平台体系结构及其功能模块，并结合实际案例进行应用，验证了信息获取方法与技术的有效性。
[Abstract]:Through the rational allocation of orders to balance the production load of multi-suppliers in the cluster and realize the optimal allocation of manufacturing resources in the industrial cluster, it is necessary to share the production load information among the enterprises in the cluster. However, the current research on the production load status is mainly confined to the enterprise, avoiding the problem of obtaining the information of the manufacturing process load condition, and usually from the manufacturing resource capacity, order task, Different aspects such as product process and enterprise management are considered, and no suitable and easily obtained parameters are formed to characterize them, which greatly limits the in-depth study of manufacturing resource allocation and scheduling in the cluster. In order to meet the demand of supplier's production load information in the process of order distribution, this paper puts forward that the production load rate can be used to represent the supplier's production load status in the future completion period of the order, and by analyzing the characteristics of the production load state, the influencing factors are analyzed. The calculation model of production load rate is established, and the content and source of production load rate information are obtained. Considering that production load rate information is characterized by large quantity, wide distribution, diverse forms and dynamic changes, as well as problems that some suppliers' production load rate information cannot be directly obtained under the environment of order distribution, Firstly, the paper constructs the production load rate ontology model to form the domain knowledge base, retrieves the original information resources and extracts the information content from the original information resources to realize the supplier production load rate information content extraction based on the domain ontology. Then the data mining technology is introduced. The maximum information entropy theory and rough set theory are used to predict the uncertain production load and evaluate the comprehensive efficiency factor of supplier production capacity. Finally, based on the previous theoretical analysis, the architecture and function modules of the multi-supplier production load rate information acquisition platform for order allocation are discussed. The effectiveness of information acquisition method and technology is verified by practical cases.
【学位授予单位】：宁波大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TH186

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