Research On Inventory Control And Optimization Of ATO System In GR Elevator Company

With economic globalization competition increasing, many companies have to change the traditional mass production model into the use of more advanced ATO (Assemble to Order, Assemble to Order) or MS (Mass Customization , mass customization) of production to meet customer needs and improve their competitiveness because of customer's personalized and diversified demand. In order to compress the delivery time and enhance rapid response capacity, the company with ATO system must build their own unique system. They through the development and design components to reduce the component types, the use of common parts to replace the corresponding function. Therefore, the issue of common parts of the strategy is the business focus. China is a manufacturing country, but many large manufacturers have high inventory, low inventory turns, leading to a lot of money and the backlog of loss. How to effectively reduce inventory levels, while ensure customer satisfaction rate is the business key problem. Such problem is very important to theoretical and practical research.This dissertation is based on the above theory, focusing on the ATO system common parts inventory policy, the use of simulation model to simulate the demand of orders and inventory changes. It selects inventory levels, parts fill rate, the level of stock indicators to analyze the company's inventory policy.First, the papers start from the theory of inventory management, inventory brief definition, the role of the traditional inventory policy, as well as ATO system of common parts strategy, system performance evaluation. Then combine with GR's special assembly by the customer background, analysis of the GR's ATO system characteristics, set up a theoretical model simulation ATO system, write the logic of the various indicators of transformation between variables, the specific data for the following simulation basis. Then combine with a number of indicators of business, assuming the order demand to meet certain corporate strength Poisson distribution to simulate the production conditions in order to obtain business daily inventory, parts fill rates, inventory values, order quantity, lack of volume and other indicators. Simulate for 100 days the average statistics of each index, by adjusting the inventory of strategies to analyze trends in average inventory, thus trying to get the ideal inventory policy. It summarizes their research content and the relevant conclusions. The study also points out that their own inadequacy and further research directions.