Please Scroll down for Article International Journal of Production Research Optimising Product Configurations with a Data-mining Approach Optimising Product Configurations with a Data-mining Approach

Please Scroll down for Article International Journal of Production Research Optimising Product Configurations with a Data-mining Approach Optimising Product Configurations with a Data-mining Approach
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通讯作者:
Z. Song;A Kusiak;A. Kusiak
Z. Song;A Kusiak;A. Kusiak
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作者:
Z. Song;A Kusiak;A. Kusiak

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本文可用于研究、教学和私人学习目的。明确禁止以任何形式向任何人进行任何实质性或系统性复制、再分发、转售、出借或再许可、系统性供应或分发。出版商不提供任何明示或暗示的保证,也不代表内容将是完整的、准确的或最新的。任何说明、配方和药物剂量的准确性均应通过主要来源进行独立验证。对于因使用本材料而直接或间接引起的任何损失、诉讼、索赔、程序、要求或费用或损害,出版商不承担任何责任。客户可以选择自己想要的选项来配置最终产品,从而受益匪浅。然而,制造公司却面临着产品多样性和制造复杂性的困境。因此,对于他们来说,捕获向客户提供的选项之间的相关性非常重要。在本文中,应用数据挖掘方法来管理产品的多样性和复杂性。规则是从历史销售数据中提取的,并用于形成子组件以及产品配置。根据“if-then”规则发现频繁订购的产品子组件和产品配置的方法将单独讨论。子组件和配置的开发可以有效管理企业资源,有助于新产品的创新设计,并简化制造和供应链流程。本文介绍的想法通过实例和工业案例研究进行了说明。
This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. Customers benefit from the ability to select their desired options to configure final products. Manufacturing companies, however, struggle with the dilemma of product diversity and manufacturing complexity. It is important, therefore, for them to capture correlations among the options provided to the customers. In this paper, a data mining approach is applied to manage product diversity and complexity. Rules are extracted from historical sales data and used to form sub-assemblies as well as product configurations. Methods for discovering frequently ordered product sub-assemblies and product configurations from 'if-then' rules are discussed separately. The development of the sub-assemblies and configurations allows for effective management of enterprise resources, contributes to the innovative design of new products, and streamlines manufacturing and supply chain processes. The ideas introduced in this paper are illustrated with examples and an industrial case study.