Research On Inventory Management Strategy Optimization Of B Company For Lean Operation

The fast-paced advancement of economic globalization has presented manufacturing enterprises with a progressively intricate business environment.Customer demands have become increasingly intricate and variable,and the randomness of customer orders is steadily growing stronger.The procurement cycle for raw materials is becoming more unstable,with rising raw material prices and minimum order quantities.This necessitates constant cost control by enterprises to attain maximum profits.Supply chain level competition has become the core competition among enterprises.The optimization of inventory management for raw materials is the most crucial part of supply chain optimization and a key factor in realizing the supply chain’s value.The level of raw material inventory management directly affects the cost of holding,storage costs,and cash flow.It is also related to the enterprise’s ability to respond flexibly to meet market demand,which is the key to business success.As a result,the management of raw material inventory has been receiving increasing attention from manufacturing and processing enterprises.B company is a research,development,production,sales and service as one of the cosmetics professional production enterprises with more than 70 years of history.The company has advanced daily chemical production equipment and testing instruments,instruments,specialized in daily chemical product development and research team of scientific research personnel;the main categories of products are : skin care products,shampoo products,personal cleaning products,flower dew and beauty cosmetics and other highquality products.Through the analysis of the inventory situation of B company,it is concluded that there are some problems in the inventory management process,such as : high raw material inventory occupation funds,backlog problem.To start with,this thesis presents a detailed discussion on the research background and significance of inventory management optimization at Company B.It reviews the relevant theories of inventory control,defines inventory and inventory management,and outlines the different categories of inventory.Utilizing the methods of literature research,investigation,descriptive research,and quantitative analysis,the thesis conducts a comprehensive study of the inventory management challenges faced by Company B.Based on this analysis,the thesis formulates the objectives and ideas of the corresponding improvement plan,and proposes specific optimization measures.These measures include the adoption of the ABC classification method to categorize the inventory products of Company B into three distinct categories based on their importance.The thesis further recommends appropriate inventory control strategies for each of these categories.so as to carry out differentiated control.Coordinate with key suppliers of Company B to implement supplier inventory management and establish inventory information sharing platform to keep the market demand expectation of upstream and downstream of supply chain as synchronized as possible;further improve the ERP system,optimize material requirements planning forecasting methods to improve the accuracy of procurement plans.Through to the finished product inventory business process to solve the problem of inventory account inconsistency.At the same time,the thesis improves the inventory management system,strictly regulates the implementation of business processes,strengthens the construction of inventory management personnel,regulates supplier inventory management through agreements,provides institutional guarantees for suppliers,strengthens product life cycle management,extends the company ’s product life cycle,enhances information technology support,and improves the management information system.The system functions and other aspects put forward specific implementation safeguard measures,and through the comparison of B company before and after the implementation of the inventory control optimization plan,the optimization results are evaluated to explain the effectiveness of the optimization plan.