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Joint optimization of inventory control and product placement on e-commerce websites using genetic algorithms

机译：使用遗传算法共同优化电子商务网站上的库存控制和产品放置

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Prior research had shown that the design of product listing pages has significant influence on the sales volume on an e-commerce website. This study focused on product placement in designing product listing pages; that is, how venders of online stores place their products over the product listing pages for maximization of profit. When trying to increase the sales volume through a better website design, it is imperative to keep a close watch on inventory replenishment so as to reduce business cost. Therefore, this study proposed a visual-attention-dependent demand inventory model for determining the optimal product placement and inventory replenishment decisions that jointly maximize the total profit under the arrangement constraints. This model assumes that visual stimuli such as image size and location have a significant effect on product demand. The substitution effect between products on demand was also examined. Then a genetic algorithms-based search method was employed to solve the model. Finally, the validity of the proposed model was illustrated with example problems.
机译：先前的研究表明，产品列表页面的设计对电子商务网站上的销售量具有重大影响。这项研究侧重于设计产品列表页面中的产品放置；也就是说，在线商店的供应商如何将其产品放置在产品列表页面上，以实现利润最大化。当试图通过更好的网站设计来增加销量时，必须密切注意库存补充以降低业务成本。因此，本研究提出了一种依赖视觉注意力的需求库存模型，用于确定最优产品放置和库存补充决策，从而在安排约束下共同最大化总利润。该模型假设视觉刺激（例如图像大小和位置）对产品需求有重大影响。还检查了按需产品之间的替代效果。然后采用基于遗传算法的搜索方法对该模型进行求解。最后，通过示例问题说明了所提出模型的有效性。

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