This paper describes the way in which processes are currently developed and optimized within a chemical firm, paying attention to all aspects of the production process. The use of mathematical models and simulation alongside laboratory and plant experiments has proved successful for well understood processes. For new processes that are not as well understood, knowledge-based process synthesis tools offer advantages over optimization-based synthesis methods, which select particular designs from a predefined superstructure. Methods of mathematical programming are used in production logistics.