Food Information System Construction Based on DEA Model AoTian Peng School of Business , Anyang Normal University , Henan , China

The study improves the traditional DEA model making it to reflect the subjective preference sequence DEA model, proposes a method to solve the dilemma with the average rate of crosscutting comparison with effective unit and cites a case for demonstration. Both at home and abroad, the food information system construction of the evaluation system implementation is at a lower level, one reason is the lag of food information system evaluation system and the imperfect.


INTRODUCTION
With economic development, more and more types of food, not only enrich the lives of people demand, but also to the food production enterprise sales management has brought difficulties.Therefore, food companies to expand sales in the meantime, if optimizing internal sales management, reduce the cost of food sold those loans have become the food companies to solve critical issues.
Looking from the situation of the implementation of the food information system in colleges and universities, both at home and abroad, their success rate is at a lower level.The case one of the reasons is the lag of food information system evaluation system and imperfect, so strengthen the research in colleges and universities information system evaluation method, to improve the success rate of food information system construction, exert its operation and management in colleges and universities and the competition ability of ascension, related research is very important information system evaluation can distinguish from three dimensions: one is the method of evaluation, the second is the evaluation objects, three is the specific content of the evaluation.Evaluation method mainly has two kinds, one is the subjective evaluation method, the typical research achievements have Delone and others established D and M model and evaluation index system, Markus and others put forward from the Angle of technology and function of the evaluation framework of ERP system in stages; an objective evaluation method, the typical evaluation method with Kaplan and Norton (2002) of the balanced scorecard approach, Farbey et al. (1992) based on analyzing the factors affecting the category IS project put forward matrix evaluation method that the existing information system such as Zhang (2003) evaluation IS essentially a kind of after evaluation, they put forward should evaluate the whole process of the construction of the information system, namely before the implementation of information system projects, implementation process, implementation, information system construction of the evaluation content IS not consistent.
Through this study, to achieve a system engineering theory and food business sales management business process integration (Wei, 2008).Real food companies to develop in line management needs actual sales work flow-based sales management business systems.Application of the system not only regulate the food industry qualification management of customer behavior, the realization of fine chemical products, sales process management and sales management to improve the efficiency of the enterprise.For the perfect food business sales management, customer buying qualification examination strictly regulate played a role in learning and reference value.

MATERIALS AND METHODS
Such as MinWenJie information system evaluation system and method of research from six aspects has carried on the design of index system and puts forward the concept of level indicator, relatively complete system from technology, performance, efficiency, investment in science and technology level, the six criteria such as value and operation layer, indicators for the segmentation, including the system of technical level and the performance index to compare the detailed division, has high practicability.University informatization evaluation solves who evaluates the evaluation?How do you comment?Who evaluates the main body, the evaluation of the person or organization, there can be a college or a third party, etc (Zhang, 2003).Of information system evaluation content mainly can be divided into the following three aspects: one is the economic benefits of information system Fig. 1: Comprehensive evaluation index system of information system evaluation and forecast, 2 it is to the evaluation of the quality of the information system itself, three is to multi-index comprehensive evaluation of information systems.Considering the information system is a complex social system, therefore, in addition to involving cost, economic benefit and financial considerations, this method also involves the system performance evaluation, system construction, system environment and user evaluation.Evaluate what is the object of evaluation, that is what is the content of the evaluation, to which aspects of colleges and universities information system evaluation.How to evaluate the evaluation algorithm, namely, using the algorithm of what steps.Under the guidance of evaluation organization, establish the evaluation goal, evaluation idea formation, again according to the operating system evaluation idea to establish an evaluation, evaluation of the operating system including evaluation purpose, evaluation method, evaluation index evaluation analysis, according to the set of evaluation procedure and evaluation of the operating system is used to evaluate the evaluation content, finally concluded that the formation evaluation report.This study, based on the preference sequence DEA model for colleges and universities information system evaluation system.E j is said the first j a decision-making unit's average crosscut efficiency, the same for effective decision making units, the bigger the E j , shows that whether to choose for themselves or for other decision-making unit weight, efficiency is more close to 1, the decision making unit, of course, its effectiveness is more stable.Therefore, according to the size of E j , it is for effective decision making units.The efficiency of crosscutting is shown in Table 1.
A numerical example of preference sequence DEA model: In this study, the application of the above preference sequence DEA model to study the comprehensive evaluation of information systems (Farbey and Land, 2004).At this point, this article is based on the model 2010 a university in nanjing, horse of the material in succession system to evaluate information system.The model selected indicators are set for the expert evaluation index, which is divided into three categories, respectively is the system construction, system performance and system application, as shown in Fig. 1.
Indicators of the evaluation system is mostly qualitative indicators, this article deal with qualitative index of the method is to use like scale to quantify the qualitative index of the corresponding subjective evaluation.Corresponding relation between the subjective evaluation and the quantitative value are as shown in Table 2.

RESULTS AND DISCUSSION
System maintainability, scalability, portability with maintenance, expansion and transplantation of the ratio of the total cost and system cost, according to its value as small as possible, is the input index of the system.The system reliability generally expressed in mean time between failures, this paper for the study of convenient, processing as a qualitative indicators and other indicators, the larger the value, the better, is the output index system.This study proposes the five information system for comprehensive evaluation.Assume that the input index of the preference order is: the system maintainability, scalability, portability.The output index order of preference is: system goal realization degree, economic benefits, system safety, system reliability, system construction standardization, the system as a whole, advanced application, system function, system user satisfaction degree, degree of resource utilization, system utilization, leading support, system and social benefits.The original value of the input index and output index are as shown in Table 3 and 4.
Due to various indicators have different unit of measurement, thus the original data of dimension differences, often to the original data dimensionless processing (Kaplan and Norton, 2002).This study USES the average method, to calculate each average value and then with each actual value divided by the average, the index value.The specific process and the corresponding results in the omitted.The data generation into the traditional DEA model respectively and preference sequence DEA model, the calculation results as shown in Table 5.
It can be seen from the results of Table 5, the subjective preference for information system of comprehensive evaluation has a great influence.

CONCLUSION
Due to the preference sequence with the preference DEA model, for example for output indicators, planning goal realization degree of index is much more important relative to other output indicators and information system indicators on this poor performance.The greater the value of information system means that the restrictions in certain weight and decision-makers preference under the constraint condition of the higher value.In the process of practical application, the decision makers can according to their preferences choose a different sequence of comprehensive evaluation of information systems with different characteristics analysis.Based on the traditional DEA model was improved, making it can reflect the subjective preference sequence DEA model and put forward to solve with the average rate of crosscutting comparison with effective unit.Due to the policy makers can clear of information system evaluation index and the weight of each index for sorting, therefore the DEA model based on preference order is better than traditional DEA model on the evaluation can reflect the will of policy makers and the application case also shows that the model is feasible in the method.

Table 1 :
Simple decision making unit efficiency and the efficiency of crosscutting Decision-making unit 1

Table 2 :
The corresponding relationship between subjective evaluation and the quantitative value