零售店布局Optimization，最大限度地提高产品知名度
Retail Store Layout Optimization for Maximum Product Visibility
摘要：
众所周知，增加产品对购物者的可见度会导致零售商的销售额增加。在这项研究中，我们提出了一种优化方法，分配积范畴和子类别的商店位置和子位置，以最大限度地提高整体知名度的产品购物者。该方法是分层开发，以满足战略和战术布局规划的需要，砖和迫击炮零售商。考虑到资格要求和完整的购物者路径，这两个层次的规划布局进行了优化，因此，他们成功地捕捉了商店区域内消费者的独特购物行为。由此产生的数学优化问题被认为是著名的二次指派问题，这被认为是计算上最困难的最优化问题之一的特殊情况。我们采用线性化技术，并通过一个现实世界的数值例子表明，我们的线性化最优化模型大大改善商店布局，因此，可以在实际应用中作为一个重要的决策支持模型商店布局规划。
英文摘要：
It is well-established that increased product visibility to shoppers leads to higher sales for retailers. In this study, we propose an optimization methodology which assigns product categories and subcategories to store locations and sublocations to maximize the overall visibility of products to shoppers. The methodology is hierarchically developed to meet strategic and tactical layout planning needs of brick-and-mortar retailers. Layouts in both levels of planning are optimized considering eligibility requirements and complete set of shopper paths, thus, they successfully capture the unique shopping behavior of consumers in a store's region. The resulting mathematical optimization problem is recognized as a special instance of the well-known Quadratic Assignment Problem, which is considered computationally as one of the hardest optimization problems. We adopt a linearization technique and demonstrate via a real-world numerical example that our linearized optimization models substantially improve the store layout, hence, can be used in practical applications as a vital decision support model for store layout planning.
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