Supporting data for "High-Productivity Manufacturing Systems for Modular Construction: A Data-Driven Optimization Approach"

This dataset contains all original data collected from an MiC factory, supporting the findings presented in Chapter 5 of my PhD thesis. This study aims to develop a high-productivity PPC system to manage the production process of MCM. Data-driven methods are adopted to help model, optimize, and manage the PPC process to achieve high productivity.This dataset includes 20 variables including the module ID and the names of production activities. The values of different variables are mainly timestamp and production time. Detailed descriptions of each variable can be found in the file Read me.