Data Set: 187 Weeks of Customer Forecasts and Orders for Microprocessors from Intel Corporation

Problem definition: This data set contains 187 consecutive weeks of Intel microprocessor demand information for all five distribution centers in one of its five sales geographies. For every stock keeping unit (SKU) at every location, the weekly forecasted demand and actual customer orders are provided as well as the SKU’s average selling price category. These data are provided by week and by distribution center, producing 26,114 records in total. Academic/practical relevance: The 86 SKUs in the data set span five product generations. It provides years of product evolution across generations and price points. Methodology: As a data set paper, its purpose is to provide interesting and rich real-world data for researchers developing forecasting, inventory, pricing, and product assortment models. Results: The data set demonstrates the presence of significant forecast bias, heterogeneity of forecast errors between distribution centers, generational differences, product life cycles, and pricing dynamics. Managerial implications: This data set provides access to a rich pricing and sales setting from a major corporation that has not been made available before.

• 저널Manufacturing & Service Operations Management · 24(1) · 682–689
• 토픽Innovation Diffusion and Forecasting · Management Science and Operations Research
• DOI10.1287/msom.2020.0933
• 저자Matthew P. Manary, Sean P. Willems