SlideShare a Scribd company logo
1 of 20
Download to read offline
FINNOPT
Consulting Services
Supporting your optimization needs
To be used only by the reciepient directed by FINNOPT
FINNOPT’s problem solving approach
Explore
Identify
Set values
Optimization
Implement
Evaluate
Creative thinking
To our clients..
Fast access to solutions
Efficient use of time and resources
High business impact
More time for other things
Simulation
Experimental
Spatial
Usage
.....
D
A
T
A
FINNOPT optimization engine framework
(Prescriptive analytics)
Optimization
problem
formulation
Optimization
algorithms
Optimal
solutions
FINNOPT assistance in all stages
FINNOPT optimization engine framework
Problem definition
Problem structuring
Prioritisation
Robustness and uncertainity
quantification and inclusion
Specific
Measurable
Action-oriented
Relevant
Time-bound
Source: McKinsey and company
Optimization problem formulation
Optimization problem formulation
• Single objective optimization: Involving one
objective function
• Usually one globally optimal solution
• Challenges: many locally optimal solutions
• Multiobjective optimization:
• Several conflicting goals/objectives
• Several optimal solutions which are equally
good
• Common in practice
• Often converted using a weighted sum of objectives
• Challenges:
• Finding a representative set
• Choosing among several optimal solutions
• Considering decision makers preference information
Minimize/Maximize 𝑓1(𝒙), … , 𝑓𝑘(𝒙)
𝒙 𝜖 𝑆
FINNOPT
specialization
FINNOPT Interactive
software
 World’s first commerical interactive multi-objective
optimization software
 Contains a wide array of single objective solvers
 Outcome of decades of research at the University of
Jyväskylä
 Extensively tested in academic and industrial
environment
 Matlab, IBM Cplex, GAMS, Optimus compatible
 Available for Windows and Linux
Technology life cycle
Time
Performance
Introduction Growth Maturity Decline
Time
Performance
Introduction
Technology life cycle: active optimization
Value barrier
Type of optimization problems change, hence type of algorithms needed also change
More investment in human resources
FINNOPT: One technology & many applications
Our
customer
testimonials
KONE
Goal
FINNOPT’s role
Results & impact
Optimize elevator group scheduling and to explore new
problem solving methods
Provide technical expertise in the area of multiobjective
optimization integrated into KONE’s own software
“We got what we aimed for”
- Tapio Tyni, Senior Expert, Concepts, KONE
“FINNOPT clearly has a certain expertise in optimization
and particularly in genetic algorithms, that KONE
doesn’t necessarily have at the same level.”
- Tuomas Susi, Senior Expert, Software Products, KONE
Tornator Oyj
Goal
Use forest simulation data to optimize forest treatment
plans and buyers simultaneously
FINNOPT’s role
Develop data-based multiobjective optimization method
and an optimization tool prototype
Results & impact
Increase in profit without drastically changing the current
operations
A major global automotive
company
Goal
Find an highly efficient energy management solution in a
hybrid car subject to several objectives
FINNOPT’s role
• Fuel consumption
• Battery lifetime
• Engine on/off switches
• Emissions
• Noise
• Electric drive only in city
• Recharging potential
Provide FINNOPT interactive software to enable multi-
objective optimization study
Results & impact
“ I think the main benefit of FINNOPT is not that it finds
better solutions, but rather good ones in a short time
and without confusing the engineer with 100s of
solutions. ”
Research project involving major
automotive companies
Goal
Create an approach for the (semi-)automated multi-
objective optimization analysis of variant-rich system
architecture models. Models are representations of
software-intensive automotive product lines.
FINNOPT’s role
Provide FINNOPT interactive software to enable multi-
objective optimization study.
Results & impact
Finding optimal architecture configurations for the
original system model. Only software suitable for the
study.
Konecranes
Goal
FINNOPT’s role
Impact
Investigate cost savings in equipment reliability testing
Problem structuring and interactive multiobjective
optimization framework prototype to handle the problem
“ Systematic value formulation of the problem, which
helped us to understand relationships between different
factors related to test optimization. ”
Centre for economic development,
transport and the environment
Goal
FINNOPT’s role
Impact
Optimizing travel modes for employees
Problem structuring and providing optimal solutions
Significant cost savings with the optimal solutions
•
FINNOPT Team
All PhD technology team
Multidisciplinary optimization & world renowned experts
Several decades of experience
Mathematical problem formulation and implementation
partners
Close connection with Industrial Optimization Group,
University of Jyväskylä, Finland
Specialization:
Scheduling optimization
problems
Resource planning
Single and multiobjective
optimization
Handle large scale
optimization projects
Multiple criteria decision
making and support
Partners
FINNOPT provides both software and
consultancy solutions to cleantech
businesses for solving multiple criteria
decision making problems using data
and optimization techniques applicable
to design, operations and control.
FINNOPT provides interactive multiobjective
optimization software to Noesis Optimus
platform which opened unique and
unequalled functions to Noesis Solutions’
clients
FINNOPT provides Sensoftia with analytics
solutions to its diverse customer base
mainly in healthcare domain and jointly
develop relevant software
FINNOPT plans to provide optimization
solutions to its diverse customer base
mainly in the area of sustainability
Again…
Ultimately, you have
Fast access to solutions
Efficient use of time and resources
High business impact
More time for other things and peace of mind
Complete confidentiality
FINNOPT resolves value barriers through optimization
Contact: Karthik.Sindhya@finnopt.com

More Related Content

Similar to FINNOPTconsultingservices

The challenge of putting software sustainability research into practice
The challenge of putting software sustainability research into practiceThe challenge of putting software sustainability research into practice
The challenge of putting software sustainability research into practiceGreen Software Development
 
Education product engineering services
Education product engineering servicesEducation product engineering services
Education product engineering servicesPranshu Joshi
 
Webinar - Design Thinking for Platform Engineering
Webinar - Design Thinking for Platform EngineeringWebinar - Design Thinking for Platform Engineering
Webinar - Design Thinking for Platform EngineeringOpenCredo
 
Capacity enhancement cycle time_reduction
Capacity enhancement cycle time_reductionCapacity enhancement cycle time_reduction
Capacity enhancement cycle time_reductionimdiven
 
Lect5 improving software economics
Lect5 improving software economicsLect5 improving software economics
Lect5 improving software economicsmeena466141
 
Don’t Hide Your Content in a Traditional Help System: A Case Study from TechP...
Don’t Hide Your Content in a Traditional Help System: A Case Study from TechP...Don’t Hide Your Content in a Traditional Help System: A Case Study from TechP...
Don’t Hide Your Content in a Traditional Help System: A Case Study from TechP...Sarah Silveri, RSI Content Solutions
 
The Joy of Reuse
The Joy of ReuseThe Joy of Reuse
The Joy of ReuseJoe Gollner
 
Sandip Mukherjee Profile
Sandip Mukherjee ProfileSandip Mukherjee Profile
Sandip Mukherjee Profilesandipm
 
A Guide to Effective Benchmarking of Applications Development
A Guide to Effective Benchmarking of Applications DevelopmentA Guide to Effective Benchmarking of Applications Development
A Guide to Effective Benchmarking of Applications DevelopmentComputer Aid, Inc
 
Implementation and value creation elements of innovation
Implementation and value creation elements of innovationImplementation and value creation elements of innovation
Implementation and value creation elements of innovationEvelynRosario6
 
Simulanis Corporate Presentation
Simulanis Corporate PresentationSimulanis Corporate Presentation
Simulanis Corporate PresentationRavi Yadav
 
Portfolio - Amol Tondwalkar
Portfolio - Amol TondwalkarPortfolio - Amol Tondwalkar
Portfolio - Amol TondwalkarAmol Tondwalkar
 
Accelerate Your Elearning Production and Increase Effectiveness
Accelerate Your Elearning Production and Increase EffectivenessAccelerate Your Elearning Production and Increase Effectiveness
Accelerate Your Elearning Production and Increase EffectivenessDoceboElearning
 
Improving software economics
Improving software economicsImproving software economics
Improving software economicsdeep sharma
 
Learn the different approaches to machine translation and how to improve the ...
Learn the different approaches to machine translation and how to improve the ...Learn the different approaches to machine translation and how to improve the ...
Learn the different approaches to machine translation and how to improve the ...SDL
 
Lean Startup: Reduce 40% go-to-market time & cost on your next product launch
Lean Startup: Reduce 40% go-to-market time & cost on your next product launchLean Startup: Reduce 40% go-to-market time & cost on your next product launch
Lean Startup: Reduce 40% go-to-market time & cost on your next product launchPeople10 Technosoft Private Limited
 
Standards @ Microsoft
Standards @ MicrosoftStandards @ Microsoft
Standards @ Microsoftukdpe
 
Target Costing and Life Cycle Costing
Target Costing and Life Cycle CostingTarget Costing and Life Cycle Costing
Target Costing and Life Cycle CostingPrachi Singla
 
Delivering solutions - focusing on TMS adoption rate and change management, F...
Delivering solutions - focusing on TMS adoption rate and change management, F...Delivering solutions - focusing on TMS adoption rate and change management, F...
Delivering solutions - focusing on TMS adoption rate and change management, F...TAUS - The Language Data Network
 

Similar to FINNOPTconsultingservices (20)

The challenge of putting software sustainability research into practice
The challenge of putting software sustainability research into practiceThe challenge of putting software sustainability research into practice
The challenge of putting software sustainability research into practice
 
Education product engineering services
Education product engineering servicesEducation product engineering services
Education product engineering services
 
Webinar - Design Thinking for Platform Engineering
Webinar - Design Thinking for Platform EngineeringWebinar - Design Thinking for Platform Engineering
Webinar - Design Thinking for Platform Engineering
 
Capacity enhancement cycle time_reduction
Capacity enhancement cycle time_reductionCapacity enhancement cycle time_reduction
Capacity enhancement cycle time_reduction
 
Lect5 improving software economics
Lect5 improving software economicsLect5 improving software economics
Lect5 improving software economics
 
Don’t Hide Your Content in a Traditional Help System: A Case Study from TechP...
Don’t Hide Your Content in a Traditional Help System: A Case Study from TechP...Don’t Hide Your Content in a Traditional Help System: A Case Study from TechP...
Don’t Hide Your Content in a Traditional Help System: A Case Study from TechP...
 
The Joy of Reuse
The Joy of ReuseThe Joy of Reuse
The Joy of Reuse
 
Sandip Mukherjee Profile
Sandip Mukherjee ProfileSandip Mukherjee Profile
Sandip Mukherjee Profile
 
A Guide to Effective Benchmarking of Applications Development
A Guide to Effective Benchmarking of Applications DevelopmentA Guide to Effective Benchmarking of Applications Development
A Guide to Effective Benchmarking of Applications Development
 
Implementation and value creation elements of innovation
Implementation and value creation elements of innovationImplementation and value creation elements of innovation
Implementation and value creation elements of innovation
 
Simulanis Corporate Presentation
Simulanis Corporate PresentationSimulanis Corporate Presentation
Simulanis Corporate Presentation
 
Portfolio - Amol Tondwalkar
Portfolio - Amol TondwalkarPortfolio - Amol Tondwalkar
Portfolio - Amol Tondwalkar
 
Accelerate Your Elearning Production and Increase Effectiveness
Accelerate Your Elearning Production and Increase EffectivenessAccelerate Your Elearning Production and Increase Effectiveness
Accelerate Your Elearning Production and Increase Effectiveness
 
Improving software economics
Improving software economicsImproving software economics
Improving software economics
 
Learn the different approaches to machine translation and how to improve the ...
Learn the different approaches to machine translation and how to improve the ...Learn the different approaches to machine translation and how to improve the ...
Learn the different approaches to machine translation and how to improve the ...
 
Consulting
ConsultingConsulting
Consulting
 
Lean Startup: Reduce 40% go-to-market time & cost on your next product launch
Lean Startup: Reduce 40% go-to-market time & cost on your next product launchLean Startup: Reduce 40% go-to-market time & cost on your next product launch
Lean Startup: Reduce 40% go-to-market time & cost on your next product launch
 
Standards @ Microsoft
Standards @ MicrosoftStandards @ Microsoft
Standards @ Microsoft
 
Target Costing and Life Cycle Costing
Target Costing and Life Cycle CostingTarget Costing and Life Cycle Costing
Target Costing and Life Cycle Costing
 
Delivering solutions - focusing on TMS adoption rate and change management, F...
Delivering solutions - focusing on TMS adoption rate and change management, F...Delivering solutions - focusing on TMS adoption rate and change management, F...
Delivering solutions - focusing on TMS adoption rate and change management, F...
 

FINNOPTconsultingservices

  • 1. FINNOPT Consulting Services Supporting your optimization needs To be used only by the reciepient directed by FINNOPT
  • 2. FINNOPT’s problem solving approach Explore Identify Set values Optimization Implement Evaluate Creative thinking
  • 3. To our clients.. Fast access to solutions Efficient use of time and resources High business impact More time for other things
  • 4. Simulation Experimental Spatial Usage ..... D A T A FINNOPT optimization engine framework (Prescriptive analytics) Optimization problem formulation Optimization algorithms Optimal solutions FINNOPT assistance in all stages
  • 5. FINNOPT optimization engine framework Problem definition Problem structuring Prioritisation Robustness and uncertainity quantification and inclusion Specific Measurable Action-oriented Relevant Time-bound Source: McKinsey and company Optimization problem formulation
  • 6. Optimization problem formulation • Single objective optimization: Involving one objective function • Usually one globally optimal solution • Challenges: many locally optimal solutions • Multiobjective optimization: • Several conflicting goals/objectives • Several optimal solutions which are equally good • Common in practice • Often converted using a weighted sum of objectives • Challenges: • Finding a representative set • Choosing among several optimal solutions • Considering decision makers preference information Minimize/Maximize 𝑓1(𝒙), … , 𝑓𝑘(𝒙) 𝒙 𝜖 𝑆 FINNOPT specialization
  • 7. FINNOPT Interactive software  World’s first commerical interactive multi-objective optimization software  Contains a wide array of single objective solvers  Outcome of decades of research at the University of Jyväskylä  Extensively tested in academic and industrial environment  Matlab, IBM Cplex, GAMS, Optimus compatible  Available for Windows and Linux
  • 9. Time Performance Introduction Technology life cycle: active optimization Value barrier Type of optimization problems change, hence type of algorithms needed also change More investment in human resources
  • 10. FINNOPT: One technology & many applications
  • 12. KONE Goal FINNOPT’s role Results & impact Optimize elevator group scheduling and to explore new problem solving methods Provide technical expertise in the area of multiobjective optimization integrated into KONE’s own software “We got what we aimed for” - Tapio Tyni, Senior Expert, Concepts, KONE “FINNOPT clearly has a certain expertise in optimization and particularly in genetic algorithms, that KONE doesn’t necessarily have at the same level.” - Tuomas Susi, Senior Expert, Software Products, KONE
  • 13. Tornator Oyj Goal Use forest simulation data to optimize forest treatment plans and buyers simultaneously FINNOPT’s role Develop data-based multiobjective optimization method and an optimization tool prototype Results & impact Increase in profit without drastically changing the current operations
  • 14. A major global automotive company Goal Find an highly efficient energy management solution in a hybrid car subject to several objectives FINNOPT’s role • Fuel consumption • Battery lifetime • Engine on/off switches • Emissions • Noise • Electric drive only in city • Recharging potential Provide FINNOPT interactive software to enable multi- objective optimization study Results & impact “ I think the main benefit of FINNOPT is not that it finds better solutions, but rather good ones in a short time and without confusing the engineer with 100s of solutions. ”
  • 15. Research project involving major automotive companies Goal Create an approach for the (semi-)automated multi- objective optimization analysis of variant-rich system architecture models. Models are representations of software-intensive automotive product lines. FINNOPT’s role Provide FINNOPT interactive software to enable multi- objective optimization study. Results & impact Finding optimal architecture configurations for the original system model. Only software suitable for the study.
  • 16. Konecranes Goal FINNOPT’s role Impact Investigate cost savings in equipment reliability testing Problem structuring and interactive multiobjective optimization framework prototype to handle the problem “ Systematic value formulation of the problem, which helped us to understand relationships between different factors related to test optimization. ”
  • 17. Centre for economic development, transport and the environment Goal FINNOPT’s role Impact Optimizing travel modes for employees Problem structuring and providing optimal solutions Significant cost savings with the optimal solutions
  • 18. • FINNOPT Team All PhD technology team Multidisciplinary optimization & world renowned experts Several decades of experience Mathematical problem formulation and implementation partners Close connection with Industrial Optimization Group, University of Jyväskylä, Finland Specialization: Scheduling optimization problems Resource planning Single and multiobjective optimization Handle large scale optimization projects Multiple criteria decision making and support
  • 19. Partners FINNOPT provides both software and consultancy solutions to cleantech businesses for solving multiple criteria decision making problems using data and optimization techniques applicable to design, operations and control. FINNOPT provides interactive multiobjective optimization software to Noesis Optimus platform which opened unique and unequalled functions to Noesis Solutions’ clients FINNOPT provides Sensoftia with analytics solutions to its diverse customer base mainly in healthcare domain and jointly develop relevant software FINNOPT plans to provide optimization solutions to its diverse customer base mainly in the area of sustainability
  • 20. Again… Ultimately, you have Fast access to solutions Efficient use of time and resources High business impact More time for other things and peace of mind Complete confidentiality FINNOPT resolves value barriers through optimization Contact: Karthik.Sindhya@finnopt.com