Knowledge Assisted Optimization for Production Scheduling Based on Simulation and Metamodeling

In industries, chemical processes involve different plants running in parallel with different production rates under the strict constraints on available resources. Therefore, events like shutdown of one or more plants, operating plants with different production grades with flexible run length time, different equipment utilization rates of plants are vital to be studied, scheduled, and optimized. CADSIM Plus is a software tool, which simulates different chemical processes in industries and thus ensures an effective production in practice. The software is used by more than 220 companies and organizations all over the world. The objective of this project is to investigate and develop efficient optimization methods that can be integrated with CADSIM Plus for chemical process production scheduling. The task of chemical process production scheduling is a complex operation and cannot be modeled directly by simple mathematical equations. Therefore, optimizing the production scheduling on the basis of CADSIM Plus simulation leads to a challenging optimization problem and requires robust techniques to solve. The proposed intern will apply the integration of artificial intelligence with the state-of-the-art metamodel-based optimization methods to tackle this problem.

Faculty Supervisor:

Gary Wang

Student:

Partner:

Aurel Systems

Discipline:

Engineering

Sector:

Manufacturing

University:

Simon Fraser University

Program: