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RIGHT SHIP, RIGHT SERVICE
 

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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.

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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.

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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.

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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

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CHALLENGES
KEY DRIVERS OF THE LINER INDUSTRY

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EXTREME COMPETITION

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ECONOMIC INSTABILITY

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SOARING FUEL PRICES

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TRADE
WARS

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VARYING SUPPLY AND DEMAND

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RISK WITH HIGH GEARING

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CARBON EMISSION REGULATIONS

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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:

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VESSEL
SIZE

CARGO
DEMAND

PORT
LIMITATIONS

TIDES

DRAFT
LIMITATIONS

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BERTH WINDOW
CONSTRAINTS

MT CONTAINER
SUPPLY

ROUTE
CONSTRAINTS

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OPERATIONAL
CONSTRAINTS

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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

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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

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CLOUD-BASED OPTIMIZATION SOLUTION
FOR LINER COMPANIES


A 5-step approach from planning to implementation

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PLAN

Plan the services/
vessels/ ports/ cargo
to be optimized

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CONNECT

Connect data
to cloud through
restful API

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ANALYZE

Run the Optimizer
and generate
the result

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OPTIMIZE

Analyze
output

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APPLY

Apply the generated
solution to client
production

OPTIMIZATION OUTPUT

FINANCIAL
PROFITABILITY

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  • 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

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  • 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

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  • 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

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  • 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

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OUR EXPERTISE

 

Within optimization across domains

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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

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OPTIMIZATION FOR THE OIL
& TANKER INDUSTRY

Fleet Planning, Scheduling and Optimization

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LOGISTICS

Optimizing Warehouse Capacity and Location Planning

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BULK
SHIPPING

• Bulk Cargo, Fleet

  Planning and

  Scheduling

• Bulk Carrier Loading

  Maximization

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OPTIMIZATION PROGRAMMING EXPERTISE
• Linear Programming

• Mixed Integer Programming

• Mixed Integer Linear

  Programming

• Mixed-integer, Non-linear

  programming

• Heuristic Algorithm

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AI & MACHINE LEARNING PLATFORM

• AI and Machine Learning   

  Algorithms

• Deep Learning Algorithms

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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

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