Right Vessel, Right Route, Right Cargo - Optimized for maximum Profit
Automatically generate port rotation, create liner
services, deploy the right sized vessels in services,
select the right port cargo with maximum
contribution, maximize vessel utilization and
profitability, and generate vessel schedules.
Maximizing voyage profitability is the objective function of the Optimizer, where the port pair, equipment type, and weight is selected from list of port pairs, with the aim of maximizing profitability. The lower and upper bound TEU’s / weight ensures that contract commitments of the customers are complied.
Optimizer ensures that vessel is utilized to the maximum in TEU’s rather than weight, by ensuring that empty container surplus and deficits are balanced, by moving the empties from surplus to deficit location with minimum repositioning cost.
Ability to dynamically plan during disruption, such as vessel break down, dry dock, port / channel maintenance periods. This ensures that the demand is satisfied on a timely basis and ensures vessel re-routing / assigning new vessels to the disrupted service has minimal impact and minimum cost
CHALLENGES
KEY DRIVERS OF THE LINER INDUSTRY
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EXTREME COMPETITION
ECONOMIC INSTABILITY
SOARING FUEL PRICES
TRADE
WARS
VARYING SUPPLY AND DEMAND
RISK WITH HIGH GEARING
CARBON EMISSION REGULATIONS
FREIGHT RATES UNDER PRESSURE
RESPONSE FROM
LINER COMPANIES TO CHALLENGES
How does a liner company maintain a cost efficient and stable liner schedule network and ensure schedule reliability?
DEFINING THE LIMITING FACTORS:
VESSEL
SIZE
CARGO
DEMAND
PORT
LIMITATIONS
TIDES
DRAFT
LIMITATIONS
BERTH WINDOW
CONSTRAINTS
MT CONTAINER
SUPPLY
ROUTE
CONSTRAINTS
OPERATIONAL
CONSTRAINTS
COMMERCIAL
CONSTRAINTS
EXECUTE WITH
Assign the right sized
vessels on the right service, satisfying
port & vessel constraints.
Minimize fuel,
charter hire, port
and canal costs.
Assign vessels on
the right service
with right port
rotation order.
Right cargo
composition
(TEUs, Weights
and Contribution)
Dynamic decision to switch vessels between services, prioritizing port pair with maximum contribution and lesser weight.
Balance empty
imbalance with empty
repositioning,
and maximize vessel
utilization by TEU’s
FACTORS INFLUENCING VESSEL ALLOCATION, CARGO
DEMAND AND SCHEDULE GENERATION
A CASE STUDY
1500
PORT PAIRS
60 SHIPS
(500 / 4000
TEUS)
10 COMMODITY
TYPE
6 EQUIPMENT
TYPE
DAILY
FLUCTUATING
DEMAND
MULTIPLE PORT
DISCHARGE
PORT DEPTH
RESTRICTIONS
CLOUD-BASED OPTIMIZATION SOLUTION
FOR LINER COMPANIES
A 5-step approach from planning to implementation
PLAN
Plan the services/
vessels/ ports/ cargo
to be optimized
CONNECT
Connect data
to cloud through
restful API
​
ANALYZE
Run the Optimizer
and generate
the result
OPTIMIZE
Analyze
output
APPLY
Apply the generated
solution to client
production
OPTIMIZATION OUTPUT
FINANCIAL
PROFITABILITY
-
Total profit for the month
-
Profit by service and vessel
-
Total contribution for the laden leg
-
Total vessel operating cost
-
Total vessel repositioning cost
COMMERCIAL
PLAN
-
Which port pairs are to be served with TEU allocation
-
Which customers are to be targeted
-
Vessel utilization by container type and weight
-
Number of containers to be loaded between various port pairs
-
Total (weight loaded between various port pairs)
-
Satisfied all port pair allocation range limitations
-
Identifying and minimizing negative contribution services/ port pairs
OPERATIONAL
PLAN
-
The vessel schedule with the port rotation and schedule date of calls at port
-
The vessels planned for the service
-
The total vessel costs for the vessel on each service, with breakup by bunker, charter hire, port cost, and canal cost
EMPTY
EQUIPMENT PLAN
-
Empty repositioning plan between surplus and deficit ports
-
Empty lifting by each vessel / voyage within the stock limit
-
Surplus and deficit status before and after empty repositioning
OUR EXPERTISE
Within optimization across domains
OPTIMIZATION IN THE LINER SHIPPING
​
• Container Vessel Stowage Optimization
• Liner Fleet Optimization
• Vessel Scheduling Optimization
• Equipment Repositioning Optimizer
• Vessel Utilization With Customer & Cargo Selection
• Maximizing Intake of Laden TEUs, Refers and Empty TEUs
• Route Network Optimizer
OPTIMIZATION FOR THE OIL
& TANKER INDUSTRY
​
Fleet Planning, Scheduling and Optimization
LOGISTICS
​
Optimizing Warehouse Capacity and Location Planning
BULK
SHIPPING
​
• Bulk Cargo, Fleet
Planning and
Scheduling
• Bulk Carrier Loading
Maximization
OPTIMIZATION PROGRAMMING EXPERTISE
• Linear Programming
• Mixed Integer Programming
• Mixed Integer Linear
Programming
• Mixed-integer, Non-linear
programming
• Heuristic Algorithm
AI & MACHINE LEARNING PLATFORM
​
• AI and Machine Learning
Algorithms
• Deep Learning Algorithms
CLOUD-BASED SOLUTION
​
• Software as a Service (SaaS)
• Subscription-based Service
• Data Integration with REST API
• ETL Platform for Data Export &
transformation
• HTTPS for Security
20+
PROFESSIONALS
Team of 20+ professionals with demonstrated expertise within large scale optimization models
18+
YEARS EXPERIENCE
18+ years of experience in Optimization, Application Development, and AI / Machine Learning for the Shipping Industry
25+
YEARS EXPERIENCE
Team with 25+ years of experience within the Liner, Bulk, Tanker, and Logistics Industries