”Terminals in Sweden and
Finland” workshop
Umeå, 2-4 Nov 2016
Olli-Jussi Korpinen
Lappeenranta University
of Technology (LUT)
Terminal concepts and
modelling of terminal-based
supply chains in BEST
research programme
Contents
1.
2.
3.
•
4.
•
5.
Terminal concepts
Modelling of terminal based supply chains
Case studies carried out in BEST
One example
Simulation applications developed in BEST
One example
Conclusions
Why do we need terminal concepts?
Each experience from practice represents
a unique solution of a terminal and its
operations
Generalizing and conceptualizing
terminals based on e.g. their functions
and/or sizes helps us to disseminate
results from different approaches
Why do we need terminal concepts?
Suitable
solutions for
biomass
measurement
(or estimation)
Appropriate
function in
supply chain
(buffer,
transshipment
etc.)
Suitable
infrastructure
(machinery,
area
investments)
Suitability of
the concept
for a biomass
supply system
Terminal
concept
Cost analysis
Source: Melkas & Tornberg 2015
Modelling of terminal based supply
chains
Modelling of terminal based supply chains is needed to
support industrial decision-making
 Static analysis
 e.g. linear optimization models
 Simulation modelling
 not actually optimization, but ”close” in the best
cases
 Dynamic, taking into account randomness and
strong interactions between the elements in the
system
Case examples of supply chain modelling
with simulation approach
• Case Joensuu: Precision supply of forest fuels
to existing plant
• Case Helsinki: new feedstock supply system
for a new power plant (constr. decision
pending)
• Case Äänekoski: re-design of intermediate
feedstock terminal network for the new
bioproduct mill (under constr.)
• Case Maharashtra (India) & Case KujawskoPomorskie / Silesia (Poland): international
approaches with agro-biomass as primary
feedstock (status of investments unknown)
Modified by the user
Fixed input parameters
Case Kujawsko-Pomorskie (Poland)
Case Kujawsko-Pomorskie (Poland)
Trucks
Plant
Note! The location of the demand point (plant) in this presentation has been determined by random
WGS84 coordinates and is not based on any real plans to build a plant in this specific location.
Simulation applications to support
industrial decision-making
Simulation application for modelling biomass
imports
Simulation application for modelling biomass
reception at the plant
Simulation application for modelling operations at
feed-in terminal
Simulation application: feed-in terminal
Background / source data:
• Terminal concept of 400 GWh/year rotation
• Receiving stemwood in this scenario, sending
chip deliveries
• One-year run, start from empty area 1 July
• Try to secure a typical demand by nearby
power plant(s)
• Only small demand in June, some inbound
deliveries already for the next season storage
Input data
Input data
Input data
Results
-
Visit times
- Avg
- Min
- Max
- Storage volumes
- Utilization rates
Results from different scenarios
Results from different scenarios
Conclusions
Dynamic simulation models support analysis and
optimization of logistics operations and costs
- Risk-free environment
- Iterations, stochasticity
- Time-dependency
- Source data from real life important
Biomass supply logistics modelling is complex,
including both ecological and industrial modelling
- Seasonality
- Sustainability
- Geographical factors
- Factory-thinking ”inside the gates”