Tanker Charter Parties, Laytime, & Demurrage of a Scheduled

Course Category : Oil & Gas Management

A specialised training programme addressing legal and operational aspects of tanker chartering, with advanced analysis of laytime and demurrage to enhance efficiency and minimise disputes.
5 Days | Advanced Level.

Starts On

19 - October - 2026

Ends On

23 - October - 2026

Location

Italy - Milan

Language

English

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Targeted Audience

  • Maritime Shipping and Operations Managers
  • Chartering Professionals
  • Oil & Gas Logistics Managers
  • Contract and Procurement Managers
  • Maritime Legal Professionals
  • Supply Chain Analysts
  • Ship Operators and Brokers

Targeted Skills

  • Tanker charter party analysis
  • Accurate laytime calculation
  • Efficient demurrage and despatch management
  • Complex contractual clause interpretation
  • Contract dispute minimisation
  • Maritime operational performance optimisation

Expected Outcomes

  • Comprehensive understanding of tanker charter party types.
  • Ability to calculate laytime according to international standards.
  • Accurate analysis of demurrage and despatch cases.
  • Interpretation of contractual clauses and operational impact.
  • Effective claims and dispute management.
  • Improved operational efficiency and cost reduction.

Training Topics Index

  • Types of charter contracts
  • Roles and responsibilities
  • Core contractual clauses
  • Standard forms (Shellvoy, Asbatankvoy)
  • Maritime legal framework

  • Definition and types of laytime
  • Commencement of laytime
  • Exceptions and interruptions
  • Notice of Readiness (NOR) rules
  • Practical calculation methods

  • Concept of demurrage
  • Demurrage vs despatch
  • Calculation methods
  • Claims handling
  • Case-based analysis

  • Causes of disputes
  • Legal clause interpretation
  • Supporting documentation
  • Maritime arbitration
  • Dispute minimisation strategies

  • Best practices in contract management
  • Coordination between operations and contracts
  • Delay reduction strategies
  • Data-driven decision making
  • Cost and efficiency optimisation