SolveIT Software
 |
|
| Subsidiary | |
| Industry |
Supply chain optimization Predictive software Mine Planning |
| Founded | 2005 |
| Founder | Matthew Michalewicz, Zbigniew Michalewicz, Martin Schmidt, Constantin Chiriac |
| Headquarters | Adelaide, Australia |
|
Number of locations
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Adelaide, Melbourne, Brisbane, Perth, Chişinău |
|
Area served
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Global |
|
Key people
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Chairman & Chief Scientific Officer: Zbigniew Michalewicz CEO: Roland Spitty |
| Products | Business optimisation through deployment of advanced planning and schedulingsoftware to predict and plan: production; supply chain; shipping; and currency hedging |
| Services | Supply chain consulting, IT roadmaps, Data mining and analytics |
|
Number of employees
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150 (2011) |
| Parent | Schneider Electric |
| Divisions | Software, Mining, Bulk material handling, Science, Services |
| Website | SolveITSoftware |
SolveIT Software Pty Ltd is a provider of advanced planning and scheduling enterprise software for supply and demand optimisation and predictive modelling. Based in Adelaide, South Australia, 70% of its turnover is generated from software deployed in the mining and bulk material handling sectors.
The company was set up in 2005 by four academics who were also experienced business people, all recent immigrants to Australia. The team was headed by ex-Ernst and Young consultant Matthew Michalewicz, who had moved to Adelaide in 2004 after selling his last company, NuTech. The other three partners were Zbigniew Michalewicz Ph.D, Martin Schmidt and Constantin Chiriac, all four of which were co-authors of the book Adaptive Business Intelligence®.
The company first developed an optimization and predictive modeling platform based on Artificial Intelligence, and then built its supply chain applications for planning, scheduling, and demand forecasting on this platform. Early customers included Orlando Wines, ABB Grain, the Fosters wine brands and later Pernod Ricard that were also located in the Barossa Valley region.
In 2008, Rio Tinto Iron Ore asked the company to improve its mining planning and scheduling operations based at Pilbara. SolveIT succeeded in applying its advanced planning and scheduling product, based on non-linear optimization, to the Rio Tinto mine scheduling problem, after many other vendors had failed over a period of ten years.
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