【作者】 周玮；

【导师】 雒兴刚；

【作者基本信息】 东北大学 ， 系统工程， 2011， 硕士

【摘要】 随着经济全球化,产品的开发周期日益缩短,越来越丰富的商品供应带来了越来越激烈的市场竞争,顾客需求向个性化、多样化的方向不断发展,形成了新的动态环境,使得大规模定制成为21世纪的主流生产模式。在新产品开发阶段,采用产品族技术被认为是达到规模经济,实现大规模产品定制生产的一种有效方法。同时,为了适应全球化的市场竞争环境,保持产品低成本是企业面临的重要挑战之一,越来越多的企业已经认识到,如果供应商在产品开发的初始阶段便共同参与,双方将有效地节省成本,增加市场的利润,提升产品在市场中的竞争力和增加顾客对产品的满意度。在本文研究中,以集成供应商选择的产品族设计为研究课题,主要进行以下研究工作：(1)文献综述。查阅了国内外相关文献,包括产品族设计、供应商选择和产品族设计中考虑供应商选择的文献,并提出了要解决的问题。(2)建立优化模型。为了在产品族设计的早期考虑供应商对其的影响,建立了集成供应商选择的产品族设计优化模型,其目标是最大化产品族的总利润。模型考虑了顾客购买行为、供应商的费用和外包成本,采用了概率性顾客选择规则来模拟顾客购买行为,并在此基础上计算了产品族的期望市场收入。(3)模型求解的算法设计和程序实现。针对研究的问题,进行了模型求解的遗传算法设计、模型求解的禁忌搜索算法设计和启发式算法设计,并将启发式算法分别嵌入遗传算法和禁忌搜索算法,并用高级开发语言C++实现上述算法。(4)模型求解算法的比较和模型参数敏感性分析。结合问题给出了应用案例,进行了模型的仿真实验和算法的仿真实验分析,验证了所提模型和算法的可行性,从管理启示的角度给出了一些结论。算法的仿真实验包括遗传算法和禁忌搜索算法相关参数的仿真、运行相同时间下两种算法的寻优能力比较、嵌入启发式规则的两种算法寻优能力比较、嵌入启发式规则前后算法寻优能力的比较。模型的仿真实验包括供应商的费用、供应商数量、产品族包含产品变体个数上限、产品变体的价格、参数敏感性实验以及确定性选择模型和概率性选择模型的对比实验。更多还原

【Abstract】 With the economic globalization, the development cycle of products increasingly get shorter, more and more rich suppliers brought more and more fierce market competition, customers’ needs turn to be personalized and diversified. The new dynamic environment makes mass customization to be the 21 st century mainstream production model.In new product development phase, product family technology has been considered as an effective method of achieving economies of scale and realizing mass customization production. At the same time, in order to adapt to the globalization of the competitive environment, to maintain low cost of production is one of the important challenges which the enterprises are facing. More and more companies have recognized that if suppliers participate jointly in the early stage of product development, both two sides will effectively save costs and increase the profit of the market, promote the product competitiveness in the market and increase customer satisfaction for the product.In this study, the research of integrating supplier selection into product family design can be summarized as the following aspects:First, the literature review. Related papers including the design of product family, selection of suppliers and product family design consideration of suppliers selection were reviewed and the problems to be studied are proposed.Second, establishment of optimization model. Supplier’s influence in the early design of product family is considered. An optimization model integrating supplier selection into product family planning is established with an objective of maximizing the company’s total profits. Customer’s purchase behaviors, suppliers’ expenses and outsourcing cost are considered in the model. The model uses probabilistic customer choice rules to simulate the customer selection behavior and to calculate product family expected market revenue.Third, design and implementation of the algorithms for solving the proposed model Genetic algorithm, tabu search algorithm and heuristic algorithm are designed and implemented with C++ language. The heuristic algorithm is embedded respectively in genetic algorithm and tabu search algorithm.Fourth, comparison of the algorithms and analysis of the sensitivity of model parameters. Application cases are given to perform the simulation study and sensitivity analysis, and to verify the feasibility of the proposed model and algorithms, Some insight are given from a management point of view. The algorithm experiments includes parameter comparisons of genetic algorithm and tabu search algorithm and the contrast of two algorithm’s optimization ability and the comparison of the algorithm optimization ability with embedded heuristic algorithm. The model simulation experiment includes parameter sensitivity analysis of the cost of suppliers, suppliers quantity, product variant number top limit which product family includes, the price of the product variant as well as comparison of deterministic choice model and probabilistic choice model.更多还原