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What it is
PPO is an R&D and CAPEX portfolio optimization tool that uses advanced analytics to prioritize projects and optimize engineering resources to maximize ROI
The approach augments data to create transparency over portfolio and manage R&D and CAPEX project pipeline with fact-based prioritization
Who it is for
Portfolio functions managing a high number of projects experiencing pain points including:
Lack of portfolio transparency
Insufficient insights on ongoing or in development projects
Funds wasted in sub-optimal decision based on gut feel
“Garbage-in garbage-out” – limited reliable data insights
Value at stake
20–30%
of project portfolio budget to be freed up for (re)investment in high priority projects
2–3%
margin improvement through better resource allocation and management
What it looks like
Learn
- Immediate insights to your portfolio status
- Use live dashboards to increase transparency and accountability
Prioritize
- Advanced analytics support to prioritize projects based on strategy and maximum impact
- Identify highest ROI projects that meet corporate / internal requirements
Review
- Quick and well-informed decision making
- Assess in-development projects for ongoing management
How it works
Solution setup: PPO is typically deployed through 5 steps to get to project prioritization
1
Criteria & Weight
Definition of prioritization criteria and weight for each criteria
2
Scoring Ranges
Alignment on scoring ranges for each criteria for objective assessment
3
Project Scoring
Scoring of projects in accordance with each criteria for comparison
4
Effort Estimate
Top-down estimation of engineering efforts for each project
5
Prioritization Decision
Ranking of projects and definition of priorities/decision needs
Sample implementation cases using Optimix output
Material Yard
Reduce raw material variation by improving material yard management and optimizing material blending
Improve fuel and flux quality through “first-in-first-out” and quality spot check
Conduct daily analyses of the composition variation of the mixing iron ore material, especially for TFe, SiO2, and Al2O3
Sinter
Conduct sinter cup tests to understand changes in sinter properties
Optimize sinter operations to stabilize sinter throughput and key quality indicators, like drum index, and size distribution
Develop a basicity prediction model to control the basicity conformity better
Blast furnace
Conduct sinter cup tests to understand changes in metallurgical properties
Stabilize blast furnace operations through process control in the following key dimensions
- Slag composition control
- Charging scheme and burden distribution
- Thermo-control scheme
- Hot blast scheme
- Slag control scheme
Sample output for price prediction
Optimix Price Prediction Module
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Optimize conducts advanced analytics based price forecast
- Analyze a considerable amount of historical data to accumulate market experience quickly
- Model-based price forecasts create a stable logic and avoid human-sentiment intervention
- Improve long-term accuracy with model iteration
- Replicate models and transfer them for different commodities
Why use Optimix
1. Industry insights
Features built-in key industry insights from extensive engagements
Continuously evolving to incorporate new knowledge
2. Process modeling
Fully customizable to reflect each client’s manufacturing process and business needs
Filters data and manages the quality of the information
3. Data modeling and solver configure
Creates data modeling to improve efficiency and quality
Fine-tunes solver configuration to guarantee consistent results even with heuristic algorithms
4. Cloud-based agile architecture
The cloud-based core engine enhances more complicated optimizations
Balanced flexibility helps further enable CST and clients use Optimix to do the optimizations
5. Implementation enablers
Organizes scenario optimization results for implementation
Provides change management and tracks the performance
Optimix has achieved
1 to 3% average
profit increases by identifying market opportunities based on advanced analytics models. Mainly applied in steel finish products.
1 to 5% average
reduction in raw material costs. It can be applied to iron ore, scrap steel, coke, and thermal coals.
Here are some client examples
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Automotive supplier accomplished 25% improvement in portfolio efficiency by identifying opportunities to channel engineering capacity to high-priority projects
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Consumer electronics player optimized R&D funnel by moving projects from planning to development and rebalancing eng. resources, leading to 10% ROI increase and 19% of R&D budget unlocked
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Global food manufacturer enabled 20% R&D budget optimization by increasing transparency and by re-prioritizing and re-scoping of R&D projects
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Leading European industrial player implemented PPO war room to achieve 26% R&D productivity improvements
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Transparency and portfolio re-prioritization enabled ~18% reduction in carbon emissions and ~33% reduction in water consumption in large mining company
By working with us, you will have access to
Experts
Our industry and functional experts will be on the ground where and when you need them.
Helpdesk
Our helpdesk will keep doors open and commit to addressing your concerns efficiently and effectively.
Training
We offer coaching and build capabilities for your teams to deliver sustained improvements.
Implementation
We partner with you and co-create a firm path to implementation as part of the project.