Linking master production scheduling performance to planning methods

The purpose is to explain how the planning environment, process maturity and data quality affect the capability of the planning method to provide high MPS performance. The analysis conducted with survey data from a sample of Swedish manufacturing companies shows that the process maturity and data quality are very important for successfully using planning methods. The data quality is shown especially important for simple planning methods whereas the MPS process maturity was particular important when using advanced planning methods. The complexity in the planning environment did not seem to influence the successful use of planning methods and MPS performance