Six Sigma Applied Research, To Reduce The Distribution Of Cold Chain Logistics Enterprises Error

In recent years, with the social and economic development, improving people's living standards, and the accelerated pace of life, people Frozen growing demand for fresh food. In this context, our third-party cold chain logistics enterprise can flourish, full of opportunities. But because of inadequate cold chain logistics industry standards, low barriers to entry, lack of effective oversight mechanisms, increasing competition in cold-chain logistics company, also makes the cold chain logistics business in China faces enormous challenges.Sinotrans Cold Chain Logistics Co., Ltd. is a professional food chain logistics enterprises in the domestic cold chain logistics industry leader. The rapid flow of business is the distribution sector is an important source of corporate profits, but the rapid flow of the error distribution sector has been troubled by a major business problem. W of the subject enterprise projects as the carrier, the use of Six Sigma tools to study it.Firstly, the development of the food chain logistics status of the research summary, and describes the cold-chain logistics company Sinotrans status and the development of the major problems faced. Six Sigma and then elaborated on the basic idea of the basic theory, tools and methods and the implementation of Six Sigma methodology to improve the law DMAIC. Sinotrans Shanghai for cold chain distribution logistics Co., Ltd. W performance indicators related to business processes, namely, the error distribution, the use of Six Sigma DMAIC implementation of improvements to reduce the delivery error.First, this paper analyzes SIPOC figure drawing,2010 on 1 to August errors related to data collection and distribution, to identify key quality factors; followed the process for the W distribution business, through the use of Pareto charts, cause and effect diagrams, flowcharts, brainstorming method and failure mode analysis, regression, control charts and other methods to identify the main reasons causing the error distribution:1. not strictly comply with the transfer process; 2. the responsibility of the driver picking member; 3. individual stores enough integrity; 4. sorting error; 5. cartage. Third, the key reason for the analysis to find and take the appropriate solutions, and implement controls to ensure the project to achieve real improvement. Operation after the implementation of the final project results show that the distribution of error significantly reduced the average daily distribution of errors from 334, down to the average daily distribution of error 148. Practice shows the Six Sigma approach is best practice to solve the problem, while the conduct of this project for the further implementation of Six Sigma enterprise provides a theoretical and practical experience.