Optimisation and scheduling
16 - 20 September 2019
**Pre-requisites: To undertake this module, it is recommended that applicants take the ‘Modelling and Simulation’ and ‘Modern Control Systems Design’ modules which are also offered via the CPD route**
Jon Love, Sean Goodhart, Kevin Morrison, Dr Andrew Trenchard, Glyn Westlake
To provide an in-depth understanding of the principles underlying various techniques of optimisation and scheduling, real-time or otherwise, and to develop a grasp of the issues involved in applying them in the process industry.
- To appreciate the distinction between and essential characteristics of steady state optimisers and dynamic optimising controllers.
- To develop a quantitative understanding of the principles of optimisation and scheduling.
- To become familiar with a range of optimisation and scheduling techniques, such as the use of LP, QP and GA methods.
- To appreciate how optimisers and schedulers handle objectives, physical and operational constraints.
- To develop a feel for the realisation of optimisers and schedulers, both real-time and off-line, in an industrial context.
- To appreciate the functionality of proprietary industrial optimisers and schedulers.
This module is of one week's full-time intensive study consisting of a variety of lectures, informal tutorials for problem solving, structured computer-based laboratory work and demonstrations. The time allocation for practical work provides for Excel and/or Matlab based demonstrations and exercises designed to reinforce the taught materials.