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The Research On Efficient Consumer Response Of Food Chain Operation

Posted on:2011-01-02Degree:DoctorType:Dissertation
Country:ChinaCandidate:H B GuanFull Text:PDF
GTID:1119330332489626Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
In China, the food is the first important thing, and is the necessarity of living of people. Comparing the production, selling is behind of it. Now, food supermarket chain store as a new retailing type has became a core problem of capital pursuing and will face the new competitions. As for food chain store (the research data from Shanghai Laiyifen Co, Ltd), how to apply the ECR(Efficient Customer Response) to find the needs of customer efficiently to satisfied the market, how to improve the ability of store management to improve the profits of it, how to introduce the new products efficiently to satisfy the diversity of market, how to add the new store efficiently and apply the ECR to improve the operation, fatherly to improve the response speed and efficiency of supply chain to enhance the management ability, now become the important problem in the running of food chain store.1. Grasp the needs of consumer by the data mining technology. The needs of consumer is the origin of pull supply chain, is the beginning of ECR management. How to abstract the customer requirement from sales data is an important problem. In this study the multi-method data mining model is built to get the behavior of store, such as CD model, which classifying the merchandise by clustering, and applying the decision tree to show knowledge of sales, and such as CA model, which doing the research about definite merchandise by association rules. The research of Multi-method Data mining model is helpful for grasp the needs of consumer.2. In the chain operations, the store as the terminal of entire chain enterprise, even though for a product promotion can be carried out in all the shops, but the shop due to different geographic location, and different consumer groups, so the study of classification of the shop, grasp the selling behavior of store will play an important role in the efficient promotion management. This paper studies sales practices, store classification method FCBA has been proposed which is based on association rules and fuzzy cluster, so the store classification method has been expanded and thus the store selling behavior theory has been built up.3. The introduction of new products is an important aspect of supermarket chains. Efficient new product introduction can reduce costs and improve the success rate of product introductions, in this paper to apply the case-based reasoning theory from a historical perspective to predict the new product introduction, try to choose the right product, the right stores and the appropriate promotion to enhance the management efficiency of ECR. Case-based reasoning which is used in the new product introduction focuses on the analysis of case match by rough set methods, by comparing the rough sets and ID3 to show rough sets is better used in the knowledge guidance system, for improve the efficiency of rough sets'reduct, the genetic algorithm is used to design the new reduct algorithm.4. Chain stores organization is the foundation of the expansion and management of the chain enterprise, this paper analyzed similarity of stores based on fractal theory, measured the fractal dimension of chain store, proved the fractal characteristics of chain stores; simulation to establish a chain of expansion model, analyzed the business model of the robustness and anti-risk. So the fractal ECR was proposed and built. The research of the chain stores based on fractal theory has played a guiding role in the management of chain stores, and fractal ECR will be conducive to the organization and operation of chain store and help enhance the core competitiveness of enterprises.There are there innovations of the research in the following:(1) Category management model based on multi-method data mining.Through the integration of fast clustering, rough sets, association rules and fuzzy clustering, the category management model such as CA model, CD model and the FCBA model were established, can manage the sales, customer characteristics, customer consuming trends and shop classfication efficiently, which has formed the effective supplement to the traditional methods of category management.(2) New product introduction model by Case-Based Reasoning. CBR solve new problems by the case reasoning to obtain effective knowledge, by which to study the new product introduction and to establish the new product introduction model EPI-CBR. Model used rough sets to case matching, and rough sets method is more suitable for case retrieval by Comparative study of ID3 and rough sets, furthermore, the genetic algorithm was used to improve the efficiency of rough sets.(3) Appling the fractal theory to put forward the calculation of the food chain fractal dimension, which demonstrates the food chain having fractal characteristics. As the food chain has fractal characteristics, the food chain simulation model was establishment by recurrence formulas, which found the bottlenecks in early expansion and concluded the food chain business model robust and anti-risk, and build composition and operation of the fractal ECR of food chain.Finally, all the content is summarized, for exploring the problem of ECR of food chain store, multi method of data mining, CBR and fractal theory are used to study the needs of consumer, new product introduction, store management, fractal chain store and so on, the study will help the enterprise to strength the management of enterprise and further to develop the strategy of ECR.
Keywords/Search Tags:Food, Chain, Efficient Customer Response, Multi-Method Data Mining, Case Based Reasoning, Rough Set, Fractal
PDF Full Text Request
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