With the improving of people’s living standards, people need food tend to be more green, high-quality, low-cost. The key of food cold chain logistics distribution is faster to distribute the high-quality food to customer. The food distribution greatly increased the difficulty, especially perishable food. The distribution equipments, temperature control, speed of distribution and other factors affect the quality of food. Keeping food original characteristics in process of food cold chain distribution is the important way to achieve the maximum value of the food cold chain logistics distribution performance evaluation.Researching on food cold chain logistics distribution, constructing food cold chain logistics distribution performance index system and studying scientifically and comprehensively the food cold chain logistics distribution performance is great significance of food cold chain logistics distribution development. Finding the theoretical and practical perspective on the background and purpose, researching on clarify the content and structure and analyzing the overseas and domestic research of experts and scholars for food cold chain logistics, distribution performance indicators and distribution performance methods. According to the food cold chain logistics distribution theory, performance and performance evaluation theory, principal component analysis and fuzzy comprehensive evaluation theory, analyzing the food cold chain logistics distribution process. Receipting from receipt process, machining process, storage process and distribution process analyze the processes. On the basis of combining process analysis and literature, summarizing the performance evaluation indicators and building from the receipt indicators, machining indicators, storage indicators, distribution indicators, information indicators and service indicators six areas of the prototype distribution performance indicators. By experts and scholars questionnaire way to score the indicators, and analyzing the reliability and validity score results. Using the statistical analysis to organize and correct index system and summarizing the suggestions of experts and scholars. Using principal component analysis and SPSS19.0to calculate the weight and eventually building a system of food cold chain logistics distribution performance indicators.Using fuzzy comprehensive evaluation to make an empirical analysis, the evaluation results reflect the performance of the distribution center and verifying the index system is scientific, reasonable and feasible. Analyzing the results of the evaluation to find the problem and then make recommendations. |