A Statistical Verification Method in Modeling Mass Customization in a Production System of Asynchronous Stochastic Learning Curves

摘要

The recent trend in mass customization (MC) has been in practice in many industries from on-line T-shirt shops all the way to boats, cars, and airplanes. One of the challenges in exercising mass customization is to manage unequal lead times among all associated partners in the production system. Asynchronous unequal lead times combined with the nature of the learning effect create asynchronous stochastic learning curves (ASLC) among partners in a mass customization production system. Mass customized products demand unequal amount of configuration and production times that can be difficult to plan by traditional deterministic scheduling methods. Discrete event simulation modeling is one of the capable tools to present such system. This work is to address one statistical method that can be applied to verify discrete event modeling of a mass customized production system of ASLCs.