Ordering control in multi-stage multi-item supply chain with stochastic demand

This paper studies the ordering control problem of multi-stage multi-item supply chain (MSMISC). We construct a MSMISC model under demand uncertainty derived from reality steelmaking. To control the ordering and stock efficiently, we present several ordering policies that are easy-to-implement. We test the performances of the presented policies in an MSMISC case derived from realistic steelmaking procedure. The managerial insights obtained from this case study can help to evaluate the potential benefits of applying different ordering policies in steelmaking operations.