Flexible Scheduling in a CPG Company

Abstract

In fast growing markets like Latin America, supply networks are required to be flexible and responsive while keeping low inventory levels. The scope of this project is to identify key variables that could help a CPG company significantly reduce the Days Between Next Run (DBNR) metric, and to develop a model or process to assess and test how changing these variables would impact the production cycle and the associated inventory levels reducing the need for safety stock in the whole supply chain. By applying rescheduling model runs with high volume or long cycle time that affect the measure of DBNR will be reduced by split them achieving a reduction of current metric from 12 to 9 DBNR.