Product Life Cycle Data Set: Raw and Cleaned Data of Weekly Orders for Personal Computers

• 成果类型: Article
• 署名作者: Acimovic, Jason; Erize, Francisco; Hu, Kejia; Thomas, Douglas J.; Van Mieghem, Jan A.
• 署名单位: Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; Vanderbilt University; University of Virginia; Northwestern University
• 刊物名称: M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
• ISSN/ISSBN: 1523-4614
• DOI: 10.1287/msom.2017.0692
• 发表日期: 2019
• 页码: 171-176
• 关键词: empirical research

摘要

We provide and describe a data set of N = 8; 935 weekly, normalized customer orders over the entire product life cycle for 170 Dell computer products sold in North America over a three and a half year period, from 2013-2016. Total orders for these products exceeded four million units and well over one billion dollars in revenue. While Dell is historically known for fulfilling customer demand with a build-to-order approach, the products in this data set were designated as build-to-stock products. There are three elements in the data that, depending on the research application, researchers may want to identify or mitigate. First, some products have seemingly anomalous orders representing one-time purchases from large customers. Second, there are negative values for some products representing order cancellations. Third, end-of-life sales may be significantly influenced by management action. We present approaches for cleaning the data to address these issues.