MS服装企业采购协调机制的优化研究

发布时间：2018-04-13 19:35

本文选题：服装企业 + 协调机制　；参考：《福州大学》2014年硕士论文

【摘要】：目前,在服装纺织行业内,许多企业将注意力放在如何降低库存成本和开拓分销渠道上,而处于上游的原辅料采购尚未能引起国内大部分企业应有的重视。在服装行业不景气尚未有效缓解之前,提升预测准确度,缩短采购提前期,是关系到企业能否生存下来,以至发展壮大的决定性因素。因此,结合我国服装纺织企业的发展现状及其采购流程再造、采购模式转变的需求,研究其采购协调机制是非常必要的。本文以闽派服装企业MS服装企业的采购协调机制为研究对象,采用定性和定量相结合以及实证研究应用等方法,对采购中的流程再造、模式转变这2个关键问题进行研究。首先介绍了采购协调机制的概念及相关理论基础。其次,在分析了MS服装企业的现有采购模式及流程后,深入剖析了现有的采购机制中存在的问题,如与供应商的关系仍停留在传统方式、采购部门处于被动地位、运输中转环节冗长、交货提前期冗长、需求量预测方式不科学等。针对MS服装企业存在的问题,从协调方法(流程再造)和协调策略(模式转变)两个方面对采购协调机制展开分析并进行优化,得出优化结果。现有的采购流程模型的基础上,本文重点研究了战略合作伙伴关系的供应商采购流程。先采用三维定位模型将供应商进行分类,再采用了Petri网理论对MS服装企业采购流程进行模型的建立、分解及优化。优化后,节省样品检测时间1天、内检时间2天、中转运输时间2天,节省因样品不合格产生的返工时间4天、因面辅料质量检测不合格产生的返工时间3-8周。在模式转变中,采用JIT理论分析了快时尚的适用对象和实施方法、步骤,提出建立MS服装企业的中端产品JIT采购协调机制。在Stackelberg主从对策模型的基础上,考虑了时间和数量,建立了多阶段需求波动下的多批次的JIT采购协调机制模型。本文以C3015款西服为例,将一个采购周期分成六个采购周期,运用MATLAB仿真-优化工具求各周期内出较优的采购批次、采购提前期、奖励度和惩罚度。优化效果为：设计到成品流程从180天-270天缩短为60天左右,采购提前期从720-2160小时缩短为25-200小时。
[Abstract]:At present, in the garment textile industry, many enterprises pay attention to how to reduce the inventory cost and develop distribution channels, but the upstream procurement of raw and auxiliary materials has not attracted the attention that most domestic enterprises should pay.Before the recession of garment industry has been alleviated effectively, it is the decisive factor to improve the forecast accuracy and shorten the purchasing lead time for the enterprise to survive and even develop.Therefore, it is very necessary to study the purchasing coordination mechanism of garment textile enterprises in China in light of the current situation of their development and the needs of procurement process reengineering and procurement mode transformation.In this paper, the procurement coordination mechanism of MS garment enterprises in Fujian school is taken as the research object, and the two key issues of process reengineering and mode change in purchasing are studied by combining qualitative and quantitative analysis and empirical research and application.First, the concept of procurement coordination mechanism and related theoretical basis are introduced.Secondly, after analyzing the current purchasing mode and process of MS garment enterprises, the problems existing in the existing procurement mechanism are deeply analyzed, such as the relationship with suppliers is still in the traditional way, and the procurement department is in a passive position.Transportation transit link is long, delivery lead time is long, demand forecast method is not scientific, etc.Aiming at the problems existing in MS garment enterprises, this paper analyzes and optimizes the procurement coordination mechanism from two aspects: coordination method (process reengineering) and coordination strategy (mode transformation), and obtains the optimization results.Based on the existing procurement process models, this paper focuses on the supplier procurement process of strategic partnership.Firstly, the suppliers are classified by 3D positioning model, and then the Petri net theory is used to establish, decompose and optimize the purchasing process of MS garment enterprises.After optimization, the sample detection time was saved by 1 day, the internal inspection time was 2 days, the transit time was 2 days, the rework time was saved by 4 days because the sample was not up to standard, and the rework time was 3-8 weeks because the surface excipient quality test was not up to standard.In the process of mode transformation, this paper analyzes the applicable object and implementation method of fast fashion by using JIT theory, and puts forward the establishment of JIT purchasing coordination mechanism for middle end products of MS garment enterprises.On the basis of Stackelberg master-slave game model, considering the time and quantity, a multi-batch JIT purchasing coordination mechanism model with multi-stage demand fluctuation is established.This paper takes C3015 suit as an example, divides a procurement cycle into six procurement cycles, and uses MATLAB simulation and optimization tools to find out the better purchase batch, purchase lead time, reward degree and penalty degree in each cycle.The optimization results are as follows: from 180 days to 270 days to 60 days from design to finished product, and from 720-2160 hours to 25-200 hours.
【学位授予单位】：福州大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F274;F426.86

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