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A公司纺织品的库存控制策略优化
Optimization of Textile Inventory Control Strategy in Company A
【作者】 张钰;
【导师】 王扶东;
【作者基本信息】 东华大学 , 物流工程(专业学位), 2019, 硕士
【摘要】 库存控制是企业运作的重要组成部分,科学控制库存可以降低成本,提高企业竞争力。同时,企业还应承担一定的社会责任。进行库存控制的同时,考虑回收再制造产品的库存将有利于可持续发展。A公司作为最大的家居零售商之一,纺织品是其具有核心竞争力的产品,但需求预测准确度低,库存水平一直居高不下,从而影响到企业的收益。因此,A公司纺织品的库存控制问题亟待解决。本文以A公司为研究背景,探讨该企业纺织品库存控制问题,并提出优化策略。首先,对A公司的库存控制现状进行介绍,提出A公司库存存在的问题,分析原因,发现不同纺织品需求特征不一样,A公司缺乏科学的纺织品分类体系,导致需求预测结果误差大,从而影响到库存控制。接着,根据不同产品的需求特征,将A公司的纺织品分为普通与时尚型两类。基于普通纺织品需求稳定的特点,采用了指数平滑法,而根据时尚型纺织品需求不确定性高的特点,采用灰色预测法,通过误差检验,精确度对比历史显著提高。最后,基于需求预测的结果,提出库存控制的优化策略。为了减缓环境污染,A公司开始回收部分废旧产品,由供应商处进行再制造。A公司选择普通型纺织品中适合再制造的产品进行试验,以利润最大化为目标,构建了确定需求下考虑回收再制造产品的库存控制模型,确定了最优的订货与回收周期以及订货量。针对普通型纺织品中不适合再制造的产品采用了EOQ模型进行库存控制,以总成本最小为目标,求解出最优的订货周期与订货批量。对于时尚型纺织品采用(r,Q)库存控制策略,确定了最优订货点与订货量,降低了库存水平。论文研究成果对于解决A公司的库存控制问题具有一定的参考意义。本文第一章为绪论;第二章为相关文献综述;第三章分析了A公司纺织品库存控制与管理现状及对应所存在的问题;第四章针对不同纺织品的需求特点,构建了需求预测模型;第五章建立了纺织品库存优化模型;第六章为总结与展望。
【Abstract】 Inventory control is an important part of enterprise operation.Controlling inventory in a scientific way can reduce costs and improve the competitiveness of enterprise.At the same time,the enterprise should undertake certain social responsibilities.It is beneficial to the sustainable development to take the inventory of remanufactured products into account while carrying out inventory control.Company A is one of the largest home furnishing retailers and textile products are its core competitive products.However,the accuracy of demand forecasting is low and the inventory level is high,which affects the revenue of company.Therefore,textile inventory control problems in company A urgently need to be solved.Taking company A as the research background,this paper discusses the textile inventory control problem of the company and puts forward optimization strategies.Firstly,this paper introduced the inventory control status,put forward the existing inventory problem in company A and analyzed the reasons.It was found that the demand characteristics of different textile products were different.Company A didn’t classify textile products,which led to the inaccurate demand forecasting and thus affected inventory control.Secondly,based on the demand characteristics of different products,the textiles are divided into ordinary and fashionable types.For ordinary textiles,the demand is stable and exponential smoothing method is adopted,while for fashionable textiles,the demand uncertainty is high and gray prediction method is adopted.The error test is carried out,and the accuracy is significantly improved compared with the history.Finally,based on the results of demand forecasting,the paper proposed the optimization strategy of inventory control.In order to reduce environmental pollution,A company began to recycle some products to suppliers for remanufacturing.Company A chooses the products suitable for remanufacturing in ordinary textiles for experiments.With the goal of maximizing profits,it constructs the inventory control model of products considering recycling and remanufacturing under certain demand,and determines the optimal order and recovery cycle and order quantity.The EOQ model is used to control the inventory of the products which are not suitable for remanufacturing in ordinary textiles.For fashion textiles,the(r,Q)inventory control strategy is adopted to determine the optimal order point and order quantity and reduce the inventory level.The research results of this paper have certain reference significance for solving the inventory control problem of company A.The first chapter is the introduction.Chapter two is a literature review.The third chapter analyzes the current situation of textile inventory control in company A and the existing problems;In the fourth chapter,according to the demand characteristics of different textiles,the demand forecasting model is constructed.The fifth chapter established the textile inventory optimization model;The sixth chapter is the conclusion and prospect.
【Key words】 Inventory; Inventory control; Demand forecast; Recycle and remanufacture;
- 【网络出版投稿人】 东华大学 【网络出版年期】2020年 03期
- 【分类号】F274;F426.81
- 【被引频次】1
- 【下载频次】333