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
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