Case studies

Alternative Freight Services aimed to minimise the long term impacts brought by freight costs, inefficient internal freight and supply chain processes. They approached Opturion in the hopes of integrating our DTO with their existing platform.


To further improve on their production efficiency, Austral sought out Opturion’s services to create a DTO based on a model of their route optimisation problem, which contains the decisions needed to generate a schedule.

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John L. Pierce looked to enhance the company’s transport service through strategic relationships with suppliers, customers, and staff. Opturion have installed a DTO that enables greater efficiency & guaranteed compliance with safety and other regulations.

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Opturion created a rostering system for Monash Universities casual exam invigilator workforce. The goal of the system was to generate a roster which maximised coverage of exams whilst satisfying certain constraints.

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Opturion through its contractor Mondo, to provide a forecasting and  planning system to manage meter faults, replacements, and repairs. The project commenced in September 2018 and  went live in December.

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In order to reduce delivery cost, Schneider Electric engaged Opturion to create an optimised transport plan. The application is now being used by Startrack.

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UGL Limited

UGL contacted Opturion to assist in developing COVID-19 safe rosters. UGL wanted to create shift patterns which didn’t overlap, maximised coverage and met fatigue-risk guidelines as specified by industry best practice.

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Opturion was tasked with developing an optimiser that assisted Allied Express' operators in their decision process, so that they make better decisions quicker and  maintain or improve on-time performance (customer service).

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Barramundi mainstream

Our aim with Barramundi Mainstream was to model their production process and design a managing tool that could be used to provide support and decision making in many aspects of their production management.

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Barramundi Case Study

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Opturion was contracted to model a supermarket network, which is comprised of separate temperature controlled components. The objective was to look at options within the operating model and determine the potential benefits.

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Opturion solved the problem of cutting rebars in a shearline in the optimal way, considering setup times, yield, and re-use of offcut for NatSteel in Malaysia

Royal Automobile Club of Victoria

In order for RACV to be efficient and deliver customer service levels, Opturion created a new forecasting tool based on Artificial Intelligence. The forecasting tool was shown to be more than 95% accurate.

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Opturion engaged Sealed Air to reduce production scheduling on the manufacture of Cryovac shrink bags. As a part of this, they improved their printing, conversion and labour force optimisers, so that it could work together seamlessly.

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Ambulance Victoria engaged Opturion for a project with four key deliverables, including the creation of  shift pattern options that had the lowest acceptable fatigue risk levels and that followed work guidelines developed by the Alertness CRC.

Opturion has been working with Hitachi to provide an optimal control algorithm to augment its world-leading AutoHaul® technology and has created a detailed dynamic model and optimiser (Optimal train Control - OTC) of the train.

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Opturion's analysis showed unacceptable levels of fatigue risk associated with current shift patterns and identified new patterns that minimised fatigue risk levels and reduced penalty payments.

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Due to their intensive, time-critical projects NWPA required a comprehensive fatigue risk management system that included roster scheduling software to design, assess and manage rosters.

Opturion was tasked with developing an integratable software  (Opturion is run on the cloud) that provided additional decision support capabilities to increase the efficiency of the existing booking system instead of replacing it. 

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Toll and Opturion worked together to reduce load in Nike's warehouse and thereby increased effective capacity. The existing system was tested and identified 5% of orders that could be bypassed, thus reducing load by 5%.

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