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首页> 外文期刊>International journal of flexible manufacturing systems: Design, Analysis and Operation of Manufacturing and Assembly Systems >Mass customization of travel packages: data mining approach
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Mass customization of travel packages: data mining approach

机译：大规模定制旅行套餐：数据挖掘方法

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This article employs a mass customization strategy to design travel packages that minimize the operation and processing costs for the service provider on one hand, while aligning the components of the packages to maximize customer satisfaction on the other. Data mining is used to identify rules of association to develop this model. Hidden relations in the massive travel agencies' databases are revealed by using the association rules technique to customize travel packages according to customers' requirements. This approach leads to fewer, but more manageable and popular travel package promotions. The overall package selection problem is modeled as an integer program that minimizes costs of operation and processing. Two different solution approaches were used: a mathematical modeling language approach and a heuristic algorithm approach. An illustrative numerical example based on a synthetic data set is also presented.
机译：本文采用了大规模定制策略来设计旅行包装，一方面使服务提供商的运营和处理成本降至最低，另一方面使包装的组件对齐以最大程度地提高客户满意度。数据挖掘用于识别关联规则以开发此模型。通过使用关联规则技术根据客户的要求定制旅行套餐，可以揭示大型旅行社数据库中的隐藏关系。这种方法导致更少但更易于管理且更受欢迎的旅行套餐促销。整个包装选择问题被建模为一个整数程序，该程序将操作和处理的成本降至最低。使用了两种不同的解决方案方法：数学建模语言方法和启发式算法方法。还给出了基于合成数据集的说明性数值示例。

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