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Optimization in Allocating Goods to Shop Shelves Utilizing Genetic Algorithm for Yogurt Sales Data
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作者 Kazuhiro Takeyasu Yuki Higuchi 《Chinese Business Review》 2013年第7期497-508,共12页
How to allocate goods to shop shelves makes great influence to sales amount. Searching the best fit allocation of goods to the shelves is a kind of combinatorial problem. This becomes a problem of integer programming ... How to allocate goods to shop shelves makes great influence to sales amount. Searching the best fit allocation of goods to the shelves is a kind of combinatorial problem. This becomes a problem of integer programming and utilizing genetic algorithm (GA) being an effective method. Reviewing past researches, there are few researches made on this. Formerly, the paper concerning optimization in allocating goods to shop shelves utilizing the GA was presented by us. In those papers, the problem that goods were allowed to allocate in multiple shelves was pursued. In this paper, the problem that does not allow goods to be allocated in multiple shelves is examined and the concept of sales profits and sales probabilities is introduced. Optimization in allocating goods to shop shelves is investigated. An application to the shop shelves for yogurt is executed. Utilizing GA, the optimum solution is pursued and verified by a numerical example. Various patterns of problems must be examined hereafter. 展开更多
关键词 display genetic algorithm (GA) OPTIMIZATION SHELF PROFIT retail store
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