A screening model to explore planning decisions in automotive manufacturing systems under demand uncertainty

[摘要] (cont.) Two cases are studied in this thesis. The first case is a simple hypothetical case with two products and two plants. It considers product to plant allocation, plant capacity, and overtime operation decisions that affect manufacturing flexibility. It demonstrates the value of considering demand uncertainty and overtime operational flexibility in making manufacturing planning decisions and the interactions between multiple sources of flexibility. The second case explores these manufacturing planning decisions for Body-In-White assembly systems in the automotive industry by applying the developed screening model. It shows that the screening model leads to system design with about 40% improvement in expected net present value, reduced downside risks and increased upside gains as compared to a traditional optimization approach.

[发布机构] Massachusetts Institute of Technology