产品族架构与供应链关联影响与优化研究
发布时间:2019-06-20 23:10
【摘要】:在大规模定制生产方式不断发展的今天,制造业企业为了实现大规模定制所需要的敏捷性和灵活性,需要调整和提高产品的设计和开发过程来更好地适应客户快速变化的需求。为了将产品从概念阶段交付到最终顾客的手上,企业需要做出关于产品开发、生产/制造和供应链管理一系列决策。 大批量定制生产模式是主要以产品族的形式体现。产品族是由一些功能相似、结构相似或工艺相似的产品组成,充分利用产品族中产品和过程的模块化和标准化,可以增加预测准确性,缩短产品交货期,降低库存成本和运输成本等,对供应链管理具有重要影响。同时,通过产品的标准化和模块化,使产品的生产工艺和整个产品研发过程精简化,,快速投入市场,迎合消费者和市场的需求,提高企业的应变和综合竞争力的提升,也是产品族架构的重要目标。因此,结合供应链管理研究制造业企业产品族架构方法具有重要意义。 本文为了建立产品族架构与供应链协同设计的量化模型,首先从定性的角度分析二者之间关联关系。建立了基于决策和结构的两个角度关联分析二维模型,分析了产品族架构决策与供应链管理之间的协同关系,并将协同决策映射到结构设计中,形成产品族架构与供应链关联设计方法。 通过关联关系概念模型的建立,进一步将其转化为量化的数学优化模型。通过多目标优化的方法,决策出最大化满足不同市场顾客需求的同时最小化供应链成本的产品族架构,以及与之相匹配的供应链结构。本文引入了遗传算法来解决多目标问题。最后结合案例阐述了产品族架构与供应链关联设计分析与优化在实际当中的应用。
[Abstract]:With the continuous development of mass customization production mode, in order to realize the agility and flexibility of mass customization, manufacturing enterprises need to adjust and improve the product design and development process to better adapt to the rapidly changing needs of customers. In order to deliver the product from the conceptual stage to the end customer, the enterprise needs to make a series of decisions about product development, production / manufacturing and supply chain management. Mass customization production mode is mainly reflected in the form of product family. The product family is composed of some products with similar functions, similar structures or similar processes. Making full use of the modularization and standardization of products and processes in the product family can increase the accuracy of prediction, shorten the delivery time of products, reduce inventory cost and transportation cost, and has an important impact on supply chain management. At the same time, through the standardization and modularization of the product, it is also an important goal of the product family structure to simplify the production process of the product and the whole product research and development process, to quickly put into the market, to meet the needs of consumers and the market, and to improve the adaptability and comprehensive competitiveness of the enterprise. Therefore, it is of great significance to study the product family architecture method of manufacturing enterprises in combination with supply chain management. In order to establish a quantitative model of product family architecture and supply chain collaborative design, this paper first analyzes the relationship between product family architecture and supply chain collaborative design from a qualitative point of view. A two-dimensional model of product family architecture decision and supply chain management is established, and the collaborative relationship between product family architecture decision and supply chain management is analyzed, and the collaborative decision is mapped to structural design to form a product family architecture and supply chain association design method. Through the establishment of the conceptual model of correlation relationship, it is further transformed into a quantitative mathematical optimization model. Through the method of multi-objective optimization, the product family architecture which maximizes the needs of customers in different markets and minimizes the cost of supply chain, as well as the matching supply chain structure, are determined. In this paper, genetic algorithm is introduced to solve the multi-objective problem. Finally, the application of product family architecture and supply chain correlation design analysis and optimization in practice is expounded with an example.
【学位授予单位】:天津大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:F274;F273;F224
本文编号:2503588
[Abstract]:With the continuous development of mass customization production mode, in order to realize the agility and flexibility of mass customization, manufacturing enterprises need to adjust and improve the product design and development process to better adapt to the rapidly changing needs of customers. In order to deliver the product from the conceptual stage to the end customer, the enterprise needs to make a series of decisions about product development, production / manufacturing and supply chain management. Mass customization production mode is mainly reflected in the form of product family. The product family is composed of some products with similar functions, similar structures or similar processes. Making full use of the modularization and standardization of products and processes in the product family can increase the accuracy of prediction, shorten the delivery time of products, reduce inventory cost and transportation cost, and has an important impact on supply chain management. At the same time, through the standardization and modularization of the product, it is also an important goal of the product family structure to simplify the production process of the product and the whole product research and development process, to quickly put into the market, to meet the needs of consumers and the market, and to improve the adaptability and comprehensive competitiveness of the enterprise. Therefore, it is of great significance to study the product family architecture method of manufacturing enterprises in combination with supply chain management. In order to establish a quantitative model of product family architecture and supply chain collaborative design, this paper first analyzes the relationship between product family architecture and supply chain collaborative design from a qualitative point of view. A two-dimensional model of product family architecture decision and supply chain management is established, and the collaborative relationship between product family architecture decision and supply chain management is analyzed, and the collaborative decision is mapped to structural design to form a product family architecture and supply chain association design method. Through the establishment of the conceptual model of correlation relationship, it is further transformed into a quantitative mathematical optimization model. Through the method of multi-objective optimization, the product family architecture which maximizes the needs of customers in different markets and minimizes the cost of supply chain, as well as the matching supply chain structure, are determined. In this paper, genetic algorithm is introduced to solve the multi-objective problem. Finally, the application of product family architecture and supply chain correlation design analysis and optimization in practice is expounded with an example.
【学位授予单位】:天津大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:F274;F273;F224
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