The Analysis Of The Guangzhou First Bus Company's Bpr

With the further opening up of public transport market and perfect competition among bus companies is bound to become increasingly fierce, companies want to survive, develop, they must improve their service capability and capacity of public transport services to enhance the business directly depends on the business procurement and supply management, the procurement process is an important business process components, but also a source of enterprise efficiency. And the traditional sector as the core functions of management does not fundamentally change the current business processes, such as appear inefficient, bloated organizational structure, operational disadvantages of high cost, and to the core of the management process can significantly improve not only process efficiency, reduce costs, but also effectively enhance enterprise competitiveness in the market.This article is base on the process optimizing theory, the First Bus Company as the research object, analysis the purchase process and purchase management. We must know how to optimize the purchase process, how to prove the purchase in time and the raw material quality, and then prove the favoring of the manufacture. How to reduce the purchase cost and at same time and how to guarantee the quality of the raw material. Explain and optimize the authentication, management and long time partner relation of the suppliers according to practice and the theory of supply chain management. And describe the management of the suppliers under the long time partner relation.The purchase is the important part of the enterprise profit,we must reduce the purchase cost according to the fact, control the purchase cost before proving the quality. And take the policy of two suppliers before proving the manufacture. Reforge the purchase process of the First Bus Company with the method of process reforger. We analysis the exit problem and find the key point. We establish the model, and give the condition and operation suggestion of the model, and optimize the purchase process.