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*'''Predictive Modelling:''' based on a combination of both classical forecasting methods and new, non-traditional prediction technologies, which are tuned to each customers business requirements and circumstances. The service includes project planning, data validation, model training and calibration, onsite support, and parallel running.<ref>{{cite web|url=http://www.solveitsoftware.com/software/predictive-modelling|title=Predictive Modelling|publisher=SolveIT Software|accessdate=2012-07-11}}</ref>
*'''Predictive Modelling:''' based on a combination of both classical forecasting methods and new, non-traditional prediction technologies, which are tuned to each customers business requirements and circumstances. The service includes project planning, data validation, model training and calibration, onsite support, and parallel running.<ref>{{cite web|url=http://www.solveitsoftware.com/software/predictive-modelling|title=Predictive Modelling|publisher=SolveIT Software|accessdate=2012-07-11}}</ref>
*'''Technology Platforms:''' based on proprietary platforms that incorporate adaptive technologies that work competitively and cooperatively together as a "hybrid system", it claims to produce more accurate forecasts and optimal schedule and plans in less time. The technology is at the centre of Adaptive Business Intelligence®, which allows the systems and predictive models to "learn" from previous experiences and "self-validate" as changes occur in the customers marketplace. <ref>{{cite web|url=http://www.solveitsoftware.com/software/technology-platforms|title=Technology Platforms|publisher=SolveIT Software|accessdate=2012-07-11}}</ref>
*'''Technology Platforms:''' based on proprietary platforms that incorporate adaptive technologies that work competitively and cooperatively together as a "hybrid system", it claims to produce more accurate forecasts and optimal schedule and plans in less time. The technology is at the centre of Adaptive Business Intelligence®, which allows the systems and predictive models to "learn" from previous experiences and "self-validate" as changes occur in the customers marketplace. <ref>{{cite web|url=http://www.solveitsoftware.com/software/technology-platforms|title=Technology Platforms|publisher=SolveIT Software|accessdate=2012-07-11}}</ref>
*'''Services: ''' cover supply chain consulting, IT roadmaps, and data mining and analytics.<ref name=Services>{{cite web|url=http://www.solveitsoftware.com/services/|title=Services|publisher=SolveIT Software|accessdate=2012-07-11}}</ref>


Services include supply chain consulting, IT roadmaps, and data mining and analytics.<ref name=Services>{{cite web|url=http://www.solveitsoftware.com/services/|title=Services|publisher=SolveIT Software|accessdate=2012-07-11}}</ref>
Due to the highly integrated, variable and hence complex nature of the client systems it is able to analyse, and early adoption in the mining market, the company has developed a specialist mining division. This provides integrated planning, scheduling and optimisation for the whole traditional supply chain network of mine, process plant, transport network, port and trading desk. Variables into the systems allow for asset management, workforce variability, maintenance, accommodation and market factors.<ref>{{cite web|url=http://www.solveitsoftware.com/mining/mine-optimisation-mining-solutions|title=Mine optimisation and mining solutions|publisher=SolveIT Software|accessdate=2012-07-11}}</ref>


==Publications==
==Publications==

Revision as of 19:08, 14 June 2012

SolveIT Software
Company typePrivate
IndustryAdvanced planning and scheduling
Predictive software
Business Planning and Control System
Founded2004[1]
FounderMatthew Michalewicz,[1] Zbigniew Michalewicz Ph.D, Martin Schmidt, Constantin Chiriac[2]
Headquarters
Adelaide
,
Australia
Number of locations
Adelaide, Melbourne, Brisbane, Perth, Chişinău[3]
Area served
Global
Key people
Chairman & Chief Scientific Officer: Zbigniew Michalewicz PhD
Managing Director: Matthew Michalewicz
CEO: Roland Spitty[4]
ProductsBusiness optimisation through deployment of advanced planning and schedulingsoftware to predict and plan: production; supply chain; shipping; and currency hedging[1]
ServicesSupply chain consulting, IT roadmaps, Data mining and analytics[5]
Number of employees
150 (2011)[1][6]
WebsiteSolveITSoftware.com

Solve It Software Pty Ltd is a provider of advanced planning and scheduling software solutions for supply and demand optimisation and predictive modelling,[7] based in Adelaide, South Australia.

History

The company was set up in 2004 by four accademics 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.[1] The other three partners were Zbigniew Michalewicz Ph.D, Martin Schmidt and Constantin Chiriac, with all four co-authors of the book Adaptive Business Intelligence®.[2]

After developing the predictive business planning software based on Artificial Intelligence,[2] early customers included Orlando Wines, and later the Fosters wine brands that were also located in the Barossa Valley wine region.[1]

In 2008, after finding the company through its website, Rio Tinto Iron Ore asked the company to tender for software to improve its operations based at Pilbara. After six months the company won the contract, after seven previous tendering companies had failed to pass the required tests over a period of ten years.[1] With 30 employees at this point, it then won a contract with BHP Billiton/Mitsubishi Alliance Coal.[1]

Operations

The company develops business optimisation software, which helps manage complex operations using artificial intelligence. Most of the products were initially developed around the key South Australian industries of wine, grain handling and mining. The software helps companies accurately predict and plan their production, supply chain, shipping and currency hedging.[1][6]

Head quartered in Adelaide, the company has over 150 staff based across operational offices in:[6] Melbourne; Brisbane; Perth; and Chişinău, Moldova.[3] It plans to open an office in San Francisco in 2012.[1] Current customers include BHP Billiton, CBH Group, Fortescue Metals Group,[8] Hills Holdings,[9] Pacific National Coal,[2][10] Pernod Ricard,[11] and Xstrata Coal.[1][6][12]

Due to the highly complex nature of the software systems that the company develops and deploys, it uses a prize-based system to recruit the required high-level of talent. In 2011, the company used a Magic square problem, won by University of Nottingham graduate Yuri Bykov, who developed a program which solved a constrained version of a 2600 by 2600 magic square within a minute.[1]

In 2011, the company won the Australian National iAward in the e-Logistics and Supply Chain category for its Supply Chain Network Optimiser (SCNO).[13]

Products/Services

  • Advanced Planning & Scheduling (APS): adapted for complex planning and scheduling activities, especially those that are heavily constrained or require multi-Advanced Planning and Scheduling Software (APS). To allow for optimisation of a wide variety of planning and scheduling activities, APS can include variable inputs covering specific constraints, business rules, and processes. It is deployed in planning for production, workforce, maintenance and equipment scheduling.[14]
  • Supply Chain Network Optimisation (SCNO): a whole-of-supply-chain system based on proprietary non-linear optimisation, prediction, and what-if analysis. Capable of managing and optimising complete operational and strategic supply chain activities, it claims to cut transportation costs, working capital requirements, and stock outs.[15] SCNO was named as a finalist for 2012 Supply Chain Distinction Awards, to be held in Berlin in June 2012.[16]
  • Demand Planning & Forecasting (DPF): based on multiple prediction algorithms and techniques, DPF can be applied to: replenishment; promotions and incentives; pricing and discounting; cross selling and upselling; product churn.[17]
  • Predictive Modelling: based on a combination of both classical forecasting methods and new, non-traditional prediction technologies, which are tuned to each customers business requirements and circumstances. The service includes project planning, data validation, model training and calibration, onsite support, and parallel running.[18]
  • Technology Platforms: based on proprietary platforms that incorporate adaptive technologies that work competitively and cooperatively together as a "hybrid system", it claims to produce more accurate forecasts and optimal schedule and plans in less time. The technology is at the centre of Adaptive Business Intelligence®, which allows the systems and predictive models to "learn" from previous experiences and "self-validate" as changes occur in the customers marketplace. [19]
  • Services: cover supply chain consulting, IT roadmaps, and data mining and analytics.[5]

Due to the highly integrated, variable and hence complex nature of the client systems it is able to analyse, and early adoption in the mining market, the company has developed a specialist mining division. This provides integrated planning, scheduling and optimisation for the whole traditional supply chain network of mine, process plant, transport network, port and trading desk. Variables into the systems allow for asset management, workforce variability, maintenance, accommodation and market factors.[20]

Publications

  • Zbigniew Michalewicz, Martin Schmidt, Matthew Michalewicz, Constantin Chiriac (10 Nov 2006). Adaptive Business Intelligence. Springer Publishing. ISBN 3540329285.{{cite book}}: CS1 maint: multiple names: authors list (link)

References

  1. ^ a b c d e f g h i j k l Cameron England (January 9, 2012). "SolveIT Software is wining and mining". The Advertiser. Retrieved 2012-07-11.
  2. ^ a b c d Zbigniew Michalewicz, Martin Schmidt, Matthew Michalewicz, Constantin Chiriac (10 Nov 2006). Adaptive Business Intelligence®. Springer Publishing. ISBN 3540329285.{{cite book}}: CS1 maint: multiple names: authors list (link)
  3. ^ a b "Contact Us". SolveIT Software. Retrieved 2012-07-11.
  4. ^ "People". SolveIT Software. Retrieved 2012-07-11.
  5. ^ a b "Services". SolveIT Software. Retrieved 2012-07-11.
  6. ^ a b c d "About Us". SolveIT Software. Retrieved 2012-06-09.
  7. ^ "SolveIT Software to Attend the Next Generation Oil & Gas Summit, ANZ 2012". GDS International. 11 November 2011. Retrieved 2012-07-11.
  8. ^ "SolveIT Software Goes Live on Time and on Budget at Fortescue Metals Group for Mine-to-Port Supply Chain Optimisation". pr.com. May 14, 2012. Retrieved 2012-07-11.
  9. ^ "Team Poly signs contract with SolveIT Software for Transportation". Hills Holdings. Retrieved 2012-07-11.
  10. ^ "Adaptive Business Intelligence®". Springer Publishing. 10 Nov 2006. Retrieved 2012-07-11.
  11. ^ "Pernod Ricard picks SolveIT Software for planning and scheduling". iStart.com.au. Retrieved 2012-07-11.
  12. ^ "SolveIT Software Pty Ltd signs contract with Xstrata Coal Queensland". International Resource News. February 7, 2012. Retrieved 2012-07-11.
  13. ^ "SolveIT Software wins the National iAward for e-Logistics and Supply Chain Management". Logistics & Materials Handling magazine. 14 August, 2011. Retrieved 2012-07-11. {{cite web}}: Check date values in: |date= (help)
  14. ^ "Advanced Planning & Scheduling (APS)". SolveIT Software. Retrieved 2012-07-11.
  15. ^ "Supply Chain Network Optimisation (SCNO)". SolveIT Software. Retrieved 2012-07-11.
  16. ^ "SolveIT Software Named Finalist for 2012 Supply Chain Distinction Awards". newsmaker.com.au. May 15, 2012. Retrieved 2012-07-09.
  17. ^ "Demand Planning & Forecasting (DPF)". SolveIT Software. Retrieved 2012-07-11.
  18. ^ "Predictive Modelling". SolveIT Software. Retrieved 2012-07-11.
  19. ^ "Technology Platforms". SolveIT Software. Retrieved 2012-07-11.
  20. ^ "Mine optimisation and mining solutions". SolveIT Software. Retrieved 2012-07-11.
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