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Operational Projects

Marketing and Logistics Information Systems (Rio Tinto, Yancoal, Peabody, Idemitsu)
Custom systems were developed using Microsoft Excel. Each system interacted with various platforms and sources to download data automatically and produce reports. The application typically incorporated sales, performance and reporting of contracts.
 
Product Blending Optimisation Model, Adani QLD Australia
A simulation model was developed using ExtendSim simulation modelling software. The optimisation engine considered key performance criteria including time on Rom, coal quality, throughput, and rehandle. The model was able to perform ‘what if?’ analysis and demonstrated significant savings and value add.
 
Truck Haulage Optimisation Study, Whitehaven Coal, Australia
A three day site analysis was conducted. An initial report was published outlining a 19 point action plan, with expected potential value add of $30m per year to the company.
 
Strategic Mine Operational Planning Model, Adani QLD Australia
A major project was undertaken to develop a simulation model used primarily in a bankable feasibility study. The model automatically scheduled a mine plan based on user inputs, and was capable of performing ‘what if?’ analysis. It demonstrated significant savings and value add. Amongst other things, it also reported the likelihood that a given plan would be successful. This model was developed using ExtendSim and Microsoft Excel.
 
Airport Passenger Throughput Model, Queensland University of Technology
Consultancy and simulation advice was provided to a research team developing a generic simulation model for any airport. The model was used to provide insight on many things including how to design airports in the most efficient way, optimising for staff and infrastructure. This model was developed using ExtendSim and Microsoft Excel.
 
Strategic Mine Operational Planning Model, BMA QLD Australia
A major project was undertaken to develop a model that would help mine planners construct an operational mining plan. The model was able to perform ‘what if?’ analysis and demonstrate where significant savings could be made. Amongst other things, it also reported the likelihood that a given plan would be successful. This model was developed using ExtendSim simulation modelling software and Microsoft Excel.
 
Probability Model Critique and Development, BMA, Queensland
The existing model for predicting the probability that the mine would achieve budget tonnes was critiqued and reviewed. The results of this critique highlighted the need to make some modifications to make the model more robust. These modifications were then made within a stringent timeframe.
 
Capacity Analysis Model, QR National Coal South, Australia
A high level model was developed incorporating maintenance schedules, rolling stock constraints and contract responsibilities. The tool was used primarily to facilitate the development of the master train plan and was also used by management to make various decisions.
 
Kitchen Flat Pack Assembly Model, Australia
A high level model was developed to simulate the manufacturing process of flat pack kitchens. It was used to validate production levels and provide key information to management concerning various 'what if' scenarios.
 
Dalrymple Bay Coal Terminal Cargo Intensity Model, Australia
A high level simulation supply chain model was developed to ascertain the impact that future demand forecasts would have on operating paradigms at the terminal and also throughout the rail system.
 
Dalrymple Bay Coal Terminal Capacity Analysis Tool, Australia
A high level supply chain model was developed to estimate the capacity of the terminal. The model was used to identify potential bottlenecks in the system so that appropriate operational strategies could be implemented.  On one occasion, an additional 160,000 tonnes of coal was exported, representing approximately $15 million.
 
Dalrymple Bay Coal Terminal Throughput Model, Australia
Development of a throughput model for the world’s third largest coal terminal. This model was the first to quantify the user’s service demands in terms of lost throughput to the terminal. The model used real time data, and was instrumental in the crucial Queensland Competition Authority determination on the terminal infrastructure charge. Animation of the model proved most valuable in communicating key concepts to stakeholders. The model was used to produce scorecards that highlighted to users the impact that their service requirements have on throughput.
 
Stockyard Simulation Model, DBCT Australia
A real-time simulation model of the stockyard was developed to support strategic analysis for the future operating mode of the terminal. Multiple scenarios were run with various yard operating modes and remnant strategies so that what if analysis could be performed. This model was also animated using Proof animation.
 
Hunter Valley Rail Loop Strategic Analysis Part 1, Hunter Valley, Australia
The coal mine wanted to determine the maximum amount of coal that could be loaded onto trains using the existing rail infrastructure, and also the size that their stockyard needed to be. The model was able to decide the load point that each train should go to, based on operational requirements.
 
Hunter Valley Rail Loop Strategic Analysis Part 2, Hunter Valley, Australia
An operational study was undertaken for Rio Tinto Coal Australia (RTCA) on one of its New South Wales coal mines - Hunter Valley Operations. This operational review required the use of a detailed simulation model to be created for decision support purposes. This model focussed on the delivery of coal from the pits through the plant and train load point and subsequently onto the trains. The model considered all current raw coal and clean coal stockpile areas, two inloading strings (with breakers), one washplant with six modules and the Hunter Valley load point. The primary focus was on identifying levels of redundancy within the coal handling systems and how these redundancies may be mitigated.
 
Port Feasibility Study, India
An operational model of the River Hugli was developed to ascertain the maximum number of ships that could sail up and down the river. A full market analysis was conducted initially to determine the possible shipping mix that would use the river. The model was created in Extend and took into account the tide tables for a year, the different sizes of ships and the different types of cargos each ship could carry. A total of three ports were included in the model.
 
Resource Sharing Model, Singapore
As part of a study to determine the viability of combining several shipyards from separate sites into one, a model was constructed to determine the number of resources that would be required to share amongst the users. The model calculated the utilisation of each resource, the average waiting time, and the average queue length for each resource. Through sensitivity analysis, it was possible to determine the optimal number of resources to ensure that each user’s needs were met in addition to ascertaining sufficient latent capacity to cater for additional users. This operational model was linked to the financial model to determine the viability of the venture.
 
Ferry Study, United Arab Emirates
A model was constructed to determine the viability of using a ferry operation to transport goods and passengers along the Persian Gulf, as opposed to using Trucks. The ferry and truck operations modelled in Extend, were linked directly to a financial model in Microsoft Excel. This model was also animated using Proof animation.
 
Toogoom Marina Feasibility Study, Australia
A feasibility study was conducted to determine the viability of developing a Marina at Toogoom, Queensland. Market research fed directly into an operational and financial model so that what if analysis could be performed. The analysis identified a range of development strategies that optimised revenue against capital outlay.
 
Ariadne Car Park Modelling, Australia
Development of an operational and financial model for multiple BOOT schemes (Build, Own, Operate, Transfer) for car parks across Australia. These models were used to determine project viability.