The Biarri Applied Mathematics Conference 2016

3 Weeks to go until BAM and the Agenda is finalised!

We’re excited to announce that the agenda for the 2016 Biarri Applied Mathematics Conference has been released for the 2016 event.

Being only 3 weeks away don’t miss out on joining us for what will be an Australian mathematics event not to be missed!

What does the future of optimisation and maths look like?

A vibrant panel discussion into what optimisation and maths in industry will look like in the future will be on Day 2.  AI and The Internet of Things suggest we might all soon be embedded in an environment of ubiquitous algorithms, predictive analytics, and automated decision-making – what the are the dangers and opportunities of such a world?  Are industry and academia preparing people for this future?  Will it change how we think about Operations Research and related disciplines?

BAM Bringing the Australian maths community together

The agenda for BAM 2016 will demonstrate how we are using optimisation to keep our world moving.

We’ll hear from innovators and thinkers on how optimisation is making waves across a wide range of applications: from fleet design, coal systems and electricity networks through to healthcare, cricket and fibre optic networks.

Supply Chain, Logistics and Mining at BAM 2016

Supply Chain, Logistics and Mining at BAM 2016

The Biarri Applied Mathematics Conference is on again and registrations are open for 2016. This year BAM will be covering  a range of presentations across supply chain, logistics and mining optimisation. With our supply chains becoming more and more complex don’t miss out on exploring how optimisation can be used.

Extending the MIP toolbox to crack the Liner Shipping Fleet Repositioning Problem

Robin Pearce will be delving into the Liner Shipping Fleet Repositioning Problem (LSFRP) which involves repositioning ships between service routes while maximising profit. This presentation will demonstrate how this problem can become quite large, with multiple ships, thousands of potential cargo transfers and tens of thousands of arcs. A straightforward MIP implementation can solve small scale problems, however the problem quickly becomes intractable..

In this presentation Robin will show us how he has managed to reduce solve times from hours down to a few minutes.

Robin Pearce is a mathematics student at the University of Queensland. After studying a Bachelor of Science with Honours in Applied Mathematics at UQ, he spent two years as a Graduate Fellow with CSIRO working on three-dimensional microstructure modelling. He is now a PhD student with Michael Forbes, once again at UQ. His main topics of interest are the use of lazy constraints and disaggregated Benders decomposition for solving large and difficult integer and mixed-integer programs.

Optimal facility location and equipment selection for whey re-use

Whey is a by-product of cheese making that is a potentially important source of nutrients, but which currently goes to disposal in many parts of the world. In this presentation, Rasul Esmaeilbeigi will analyse the efficiency of investment in whey-processing with the aim of releasing the productive potential of currently unexploited whey supply chains. Rasul will describe a decision support model for production and distribution of products derived from whey that extends a globally inclusive facility location problem. The basic tenet of the model is that equipment selection during the initial stages of facility planning is critical, as capital costs in the early stages of supply chain design go into purchases of new machines and site conditioning. The model selects the optimal combination of whey processing equipment, facility locations and transportation routes subject to budget, equipment availability and final product requirements.

Rasul is currently a PhD. candidate in the school of mathematical and physical sciences at the University of Newcastle. he holds a master’s degree (2014) and a bachelor’s degree (2012) in Industrial Engineering. Rasul has expertise in the field of Mathematical Programming and Combinatorial Optimization and also general knowledge and experience of programming languages for solving large scale optimisation problems.

Multiple Yard Crane Scheduling with Variable Crane Handling Time and Uncertain Yard Truck Arrival Time

Container yard performance heavily depends on the efficient operations of yard cranes. Yong Wu will discuss the multiple yard crane scheduling problem with variable crane handling time and uncertain yard truck arrival time. Here the variable crane handling time refers to the variable time of handling each individual container, while the uncertain yard truck arrival time relates to the actual arrival time of trucks that are dispatched to either pick up or drop off containers. While there is a rich body of literature addresses the multiple yard crane scheduling problem in a deterministic operational context, there is a paucity of research incorporating these uncertain factors.

Dr Yong Wu is a Senior Lecturer at the Department of International Business and Asian Studies within the Griffith Business School. Yong holds a PhD in Operations Research and an MEng in Mechanical Engineering and has worked for The Logistics Institute – Asia Pacific, a joint venture between National University of Singapore and Georgia Institute of Technology (2005-2008), and the Institute for Logistics and Supply Chain Management, Victoria University, Australia (2008-2010). He teaches in the area of logistics and supply chain management and his research interests are in logistics and supply chain management, operations research and engineering optimisation.

Machine learning methods for mineral processing

Machine learning emerged as a subject area in the late 1950s; yet to date there has been little application of machine learning to mineral processing.

There are of course many ways that machine learning can be applied. Stephen Gay will pursue a probabilistic framework, strongly related to the new subbranch of mathematics called information theory.

The approach is to use far less samples than conventional methods and to infer many of the missing variables – indeed to infer the missing variables at a great level of depth (distribution of multimineral particles at each stream). By inferring this information we have a ‘snapshot’ of unit models for each series of plant data. Machine learning algorithms are then applied to parameterise the models according to operational parameters.

Dr. Stephen Gay originally graduated from University of Queensland [BSc (hons/Applied Maths)]. His domain areas have largely been in physical oceanography, mining (PhD), image analysis and geometric probability. The main area of mining is the development of software for optimising mineral processing plants. He received most of his grounding in mathematical modelling for mineral processing at the Julius Kruttschnitt Mineral Research Centre (JKMRC) – and in 2008 development his own independent consulting and contracting business which has since evolved into a startup Company: MIDAS Tech Intl. In 2014 he patented a method that enables the estimation of detailed mineral processing data from simple measurements – and has largely been focusing on getting interest in this new method from Mining Companies and Universities.

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FTTx Planning and Design at BAM 2016

FTTx Planning & Design optimisation at BAM 2016

The Biarri Applied Mathematics Conference is on again and registrations are open for 2016. This year FTTx planning and design optimisation is a core component of the free 2-day conference so don’t miss out!

What are Fibre Optic Networks, how do we predict how expensive they will be and why do we do it?

Patrick Edwards will take BAM attendees through the complexities of a fibre network rollout and how it’s not always as straight forward as meets the eye. With billions of dollars being spent around the world on the deployment of these networks Patrick will explore the importance of optimisation and mathematics when predicting costs and different architectures.

Patrick Edwards has a background in mathematics, physics, programming and biochemistry. Patrick enjoys finding new ways to apply the skills from those areas to problems in the FTTx space. By conducting experiments for clients, Patrick helps companies across the telco industry make informed architectural and strategic decisions across their FTTx rollouts.

Why don’t Engineers and Mathematicians get along?

Alex Grime will be looking into the differences in how engineers and mathematicians think and speak across FTTx deployments and how that often gets in the way of successfully leveraging each other’s strengths:

  • Engineers want accurate, mathematicians want precise,
  • Engineers are interested in the destination, mathematicians are interested in the journey,
  • Engineers think 3 dimensionally, mathematicians think n dimensionally.

Alex Grime has over 20 years of experience in the telco industry across Network Strategy, Technology, Planning, Design, Cost Optimisation, and Operations. With a strong history in various roles across Optus, and NBN Alex is now one of the leading Telecommunications consultants for Biarri Networks.

How freedom to innovate is optimising global fibre rollouts.

Laura Smith will be discussing how FTTx networks are now being planned, designed and deployed with greater certainty, speed and at a lower cost by empowering smart mathematical minds. Through the use of optimisation, machine learning and other mathematical techniques, the entire industry is being re-imagined around us– and for the better.

Laura joined Biarri Networks after graduating with a Science degree in 2014. Starting as a member of the design team, she began taking on leadership roles and her focus changed to team development. Laura is passionate about process improvement and thrives on the challenges of working with a wide variety of people and clients.

The BAM Conference 2016

Registrations are now open and this year the conference will be held in Brisbane, Australia, on June 28 and 29 at QUT Gardens Point with support from The Queensland University of Technology, The Australian Mathematical Sciences Institute and Biarri.

Head over to the website to explore the other speakers, presenters and register now!

The Biarri Applied Mathematics Conference 2016

Optimisation. For Real. The BAM Conference 2016

The world is changing around us. Optimisation– which used to be hidden behind closed doors is now at our fingertips shaping the way in which we live our lives, move our goods, and make our decisions. From healthcare, sports, transport and manufacturing through to the deployment of next generation fibre networks, optimisation is core to working in the 21st century.

We are excited to announce that the Biarri Applied Mathematics Conference is on again for 2016. Registrations are now open and this year the conference will be held in Brisbane, Australia, on June 28 and 29 at QUT Gardens Point with support from The Queensland University of Technology, The Australian Mathematical Sciences Institute and Biarri.

The Biarri Applied Mathematics Conference is a free two-day event that brings together innovators, thought leaders, industry and students to bridge the gap between academia and practice. It’s a perfect opportunity for networking, seeing how maths is actually being applied in the real world and discovering the benefits in applying mathematical techniques across business.

This year we’ve got some awesome presentations that are set to make you think about how we can be doing things better:

  • Evan Shellshear, Simultek, How to beat the best at optimisation
  • Stephen Gay, MIDAS Tech International, Machine learning methods for mineral processing
  • Robin Pearce, University of Queensland, Extending the MIP toolbox to crack the Liner Shipping Fleet Repositioning Problem
  • Michael Forbes, University of Queensland, Reviewing the Decision Review System in Cricket
  • And much more.

Head over to the BAM website to find out more and register now! Join us this year to see real optimisation in action and learn about how it’s used to keep our world moving.

Register for BAM now!