面向西服工业化定制的企业生产计划和控制方法研究

发布时间：2017-12-30 21:36

本文关键词：面向西服工业化定制的企业生产计划和控制方法研究　出处：《浙江大学》2016年博士论文　论文类型：学位论文

【摘要】：本文结合国家科技支撑计划项目(2013BAF02B10)、国家自然科学基金( 51205353 ),在分析西服工业化MTM特点和目前相关研究成果的基础上,重点研究了面向西服定制企业的工业化生产方法体系,包括定制西服订单聚类方法、西服定制企业的主生产计划研究、西服定制生产车间组织形式的构建及其布局、定制西服订单排序和流水线的均衡方法等,为西服定制企业同时实现工业化生产和满足个性化市场需求提供坚实的理论基础和方法指导。在分析西服定制企业面临挑战的基础上,阐明了西服工业化MTM的重要意义,根据国内外服饰生产关键技术研究现状,结合相关的决策理论、方法等研究现状,明确了本文的研究目标、研究内容和论文组织框架。根据西服工业化MTM的特点,分析其工艺流程跟成衣批量生产作业的不同,提出了一种携AHP权重因素的基于本体语义距离的订单距离计算方法,使得多样性的单个订单的生产转化成具有一定相似性的订单聚类簇的高效成批生产,实现西服定制个性化和生产规模化的统一。针对西服定制企业中标准成衣销售与定制双管齐下的营销模式,通过对西服需求数量的预测,确定未来全年标准西服和定制西服的销售种类及其数量,并根据预测销售量安排生产能力,同时实时修正月度或季度的成衣生产种类及其数量,从而确定标准西服提前生产的生产种类及其数量、确定面料备料的种类分布及其数量水平。由于服饰属于流行产品,具有一定的不确定性,故主生产计划的依据具有一定的模糊性。为了与实际情况更加接近,建立了模糊环境下基于可信性规划的生产计划优化模型,通过对模糊目标和约束的清晰化,将模糊生产计划模型转化为清晰等价形式,并提出了一种求解该模型的基于非固定多段映射函数和向量评价的改进PSO。针对车间生产组织形式,根据聚类后的订单簇的特点,提出了面向订单聚类簇的、加工对象原则和工艺原则并存的U型细胞单元组生产流水线构建方法,并结合二次分配问题模型、图论模型和混合整数规划模型的优点建立其布局规划数学模型。鉴于计算的复杂性,提出了基于序列对、改进顶点权重有向无环图的细胞单元布局生成算法、不可行度自适应粒子群算法的层次化求解方法。针对定制西服订单的排序问题,提出了一种SCGA算法进行排序规则的优化组合。该算法对不同的订单聚类簇,以拖期数和延误度为目标函数进行动态排序;对同一订单簇内的订单,则以订单松弛度为目标函数进行动态排序。针对定制西服细胞单元组生产流水线平衡设计问题,在满足工序作业先后顺序的约束条件下,采用改进的粒子群算法将订单簇的工序进行组合和拆分,合理调整并分配到细胞单元组生产流水线上的细胞单元中,使得作业时间尽可能相等,且接近平均节拍,从而对定制西服细胞单元组生产流水线进行了有效的平衡。
[Abstract]:According to the national science and technology support program (2013BAF02B10), the National Natural Science Fund (51205353), based on the analysis of the characteristics of MTM and the suit of industrialization on the relevant research results, focusing on the system of industrial production method for custom suits enterprises, including custom suit order clustering method, study the main production plan suits the MC enterprise construction the production workshop layout and suits custom forms of organization, custom suit ordering and assembly line balancing method, as the custom suits enterprises at the same time to realize industrialized production and meet the personalized market demand to provide solid theoretical foundation and methodological guidance. Based on the analysis of custom suits companies face the challenge, to clarify the significance of the industrialization of MTM suit. According to the present situation of research on the key technology of domestic and international apparel production, combined with the related theory, research methods etc., The target of this research, research contents and the organization framework. According to the characteristics of the analysis of the MTM suit of industrialization, technological process and clothing production operation, put forward a kind of carrying AHP factor weight computing ontology semantic distance based on order distance method, the single order diversity into a production order cluster a certain similarity of efficient mass production, to achieve a unified suit customization and scale of production. According to the standard clothing suits custom enterprise marketing and customization two pronged marketing model, through the prediction of the demand for the number of sales to determine the suit, suits and standard types of future annual custom suit and number, and according to the sales forecast arrange the production capacity at the same time, the real-time correction of monthly or quarterly production type and quantity, so as to determine the standard suit ahead of production The production type and quantity, to determine the species distribution and the number of levels of preparation. Due to clothing fabric belongs to the popular products, with some uncertainty, the main production plan according to has a certain ambiguity. In order to be more close to the actual situation. The optimization of production planning model based on credibility programming under a fuzzy environment, the clarity of fuzzy goals and constraints, the fuzzy production planning model into crisp equivalents, and proposes a solution of the model based on improved PSO. non-stationary multi-stage mapping function and vector evaluation for workshop production organization, according to the characteristics of the order cluster after clustering, proposed order oriented cluster, construction method U cell group production line coexistence processing object principle and technology principle, and combined with the model of the two distribution problem, graph model and mixed integer programming The advantages of programming to establish the mathematical model of layout planning. In view of the computational complexity, is proposed based on the sequence of a unit cell, improve the vertex weight distribution generation algorithm for acyclic graph, infeasible degree adaptive particle swarm optimization algorithm of hierarchical scheduling problem solving method. According to the custom suit order, put forward the optimization combination of an SCGA algorithms for sorting rules. The algorithm in order to cluster different, tardiness number and delay of the objective function for the dynamic scheduling; on the same order within the cluster to order relaxation orders as the objective function for dynamic scheduling. According to the custom suit cell group production line balance in the design problem. To meet the constraints of operation order, order cluster combination and splitting process using improved particle swarm optimization algorithm, the reasonable adjustment and distribution to the cell group production unit The cell units on the production line make the operation time as close as possible and close to the average beat, thus effectively balancing the production line of customized suit cell unit.

【学位授予单位】：浙江大学
【学位级别】：博士
【学位授予年份】：2016
【分类号】：F426.86;TS941.8

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