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Displaying method in the shop makes influence to sales amount, therefore various ideas are devised. What kind of items should be placed where in the shop, how to guide customers to what aisle in the shop are the big issues to be discussed. Searching best fit allocation of goods to shelves is also an important issue to be solved. In this paper, we seek how to optimize in allocating goods to shop shelves. Effective range for exhibition is generally said to be 45cm-150cm. The range of 75cm-135cm is called gol zone especially. For the lower part under 45cm, goods are stocked as well as displaying. Reviewing past papers, there are many papers concerning lay out problem. Although there are many researches on corresponding theme as stated above, we can hardly find researches on the problem of optimization in allocating goods to shop shelves. Formerly, we have presented a paper concerning optimization in allocating goods to shop shelves utilizing genetic algorithm (Takeyasu et al.,2008). In those papers, the problem that goods were not allowed to allocate in multiple shelves and the problem that goods were allowed to allocate in multiple shelves were pursued. In this paper, we examine the problem that allows goods to be allocated in multiple shelves and introduce the concept of sales profits and sales probabilities. Expansion of shelf is executed. Optimization in allocating goods to shop shelves is investigated. An application to the convenience store with POS sales data of cup noodles and cup soup is executed. Utilizing genetic algorithm, optimum solution is pursued and verified by a numerical example. The rest of the paper is organized as follows. Problem description is stated in section 2. Genetic Algorithm is developed in section 3. Numerical example is exhibit section 4 which is followed by the remarks of section 5. Section 6 is a summary.

Optimization in Allocating Goods to Shop Shelves Utilizing Genetic Algorithm under the Introduction of Sales Probabilities