Study On Stock Optimization Of Sportswear Fabrics Based On Demand Forecasting In Company D

In recent years,with the development of society,people's demand for clothing tends to increase rapidly,and the demand fluctuates more strongly.Therefore,enterprises need to hold a certain amount of fabric inventory to cope with the fluctuation of market demand.Due to the high difficulty and inaccuracy of demand prediction about clothing,the problem of fabric inventory such as the continuous increase in inventory is becoming more and more serious.Company D as a leading brand of sports goods faces serious problems such as excessive sluggish material in sports clothing and high inventory.As a result,the waste and loss of D company is up to millions of dollars a year.Therefore,the problem of fabric inventory in Company D needs to be solved urgently.This paper takes D company as an example,and analyzes the problems and causes of fabric inventory.It is concluded that the accuracy of demand prediction has great influence on fabric ordering-decision.Therefore,from the perspective of demand forecasting,this paper obtains the forecast of the fabric demand according to the garment demand,then optimizes the inventory control.Finally,the objective of optimizing the inventory control and management of the fabric is achieved.This paper introduces the classification of sports-clothing goods in D company,and analyzes the problems and causes of the inventory management of sports-clothing fabric.It is found that the biggest factor of the fabric inventory problem is the inaccuracy of the demand forecast.Besides,the paper analyzes the problems and causes for the demand forecast management of the sports-clothing fabric in D company.Based on the demand forecast,this paper divides the sports-clothing of D company into new and old products,and puts forward a new prediction method for the new products which are difficult to predict.Because of the lack of new product data,a Similarity Measure based on similarity,fuzzy clustering,rough set and statistical analysis is proposed for new and old products.Through the questionnaire survey and interview method,the influence factors of the fashion-trend sensitivity are determined.Then the quantification of fashion-trend sensitivity is achieved through expert scoring and fuzzy comprehensive evaluation.An improved Bass prediction model is put forward with the consideration of fashion-trend sensitivity and seasonal factors.What's more,according to the results obtained from the similarity measure method,the demand for new products is accurately predicted.According to the forecast data of the cloth demand and the quantitative relationship between the cloth and the fabric,the forecast data of the fabric demand is obtained by considering the standard-code error and the cutting error,so as to provide data for inventory management of fabric in the future.This paper considers the production cost and capacity constraints in D company and puts forward a decision model of the purchase order point and order batch of the fabric based on S-M method.According to the actual sales situation and lead time,a dynamic adjustment strategy of order quantity is put forward.Finally,a case study of non-general fabrics concerning swimsuit products in D company is analyzed.The research results have reference value for D company's fabric inventory control and optimization management.The first chapter is the introduction;the second chapter is the related theory and literature review;the third chapter analyzes the status and problems of inventory management and clothing demand prediction about sports clothing material in D company;the fourth chapter constructs the forecasting model of clothing fabric;the fifth chapter puts forward the optimization management of fabric inventory control in D company;the sixth chapter is the summary and prospect.