Andreas Ernst

Prof Andreas Ernst has over 20 years experience in the development of optimisation and simulation models to assist businesses with strategic and operational decision making. He is the director of MAXIMA, the Monash Academy for Cross and Interdisciplinary Mathematical Applications. His research interests focus on scheduling and optimisation for large scale industrial applications, including high performance combinatorial optimisation algorithms, parallel matheuristics and network optimisation. Past projects have included optimisation of coal supply chains, scheduling of recreational vehicles (motorhomes), train scheduling, rostering and research into hub location algorithms.

Andreas Ernst's research is primarily in the area of optimisation and operations research. His interest is in methods for solving large scale integer programs including decomposition methods and matheuristics. These methods are important for dealing with real world applications. Andreas Ernst has a long track record of applying these methods in practice in a variety of areas including the mining industry, transport & logistics and energy. 

Lists of his publications can also be found at:

• Google Scholar,
• OrcID,
• Scopus,
• ResearcherID (incomplete),
• Research Gate (not up to date).

For potential PhD research projects see my personal home page.