ULMS Electronic Module Catalogue

The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module.
Title Global Maritime Logistics
Code EBUS632
Coordinator Professor D Song
Operations and Supply Chain Management
Year CATS Level Semester CATS Value
Session 2023-24 Level 7 FHEQ First Semester 15

Pre-requisites before taking this module (other modules and/or general educational/academic requirements):


Modules for which this module is a pre-requisite:


Programme(s) (including Year of Study) to which this module is available on a required basis:


Programme(s) (including Year of Study) to which this module is available on an optional basis:


Teaching Schedule

  Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
Study Hours 20


Timetable (if known)              
Private Study 125


EXAM Duration Timing
% of
Penalty for late
CONTINUOUS Duration Timing
% of
Penalty for late
Individual assignment 1. There is a resit opportunity. Standard UoL penalty applies for late submission. This is an anonymous assessment.    50       
Individual assignment 2. There is a resit opportunity. Standard UoL penalty applies for late submission. This is an anonymous assessment.    50       


The module covers a range of topics including international logistics, freight logistics, container logistics, shipping logistics, port management, shipping emissions and sustainability. The main aims are to:

Provide a study of the key principles and techniques applicable in the management of maritime logistics mainly from the quantitative/analytical perspective;

Understand the principles and roles of maritime logistics;

Understand and apply a range of quantitative/analytical tools and techniques to improve maritime logistics.

Learning Outcomes

(LO1) Be able to critically appraise the principles, tools, and techniques of maritime logistics management;

(LO2) Be able to critically analyse and evaluate the quantitative performance of maritime logistics systems;

(LO3) Be able to apply quantitative tools and techniques to solve optimisation problems and improve maritime logistics performance;

(S1) Problem solving skills
Students will develop their problem-solving skills through analysis of case studies and logistics in practices provided in lectures/seminars, and solving the problems in assignments.

(S2) Numeracy
Students will develop numeracy skills by understanding quantitative analytical and optimisation methods, and their applications in exercises and assignments.

(S3) Commercial awareness
Students will develop an understanding of commercial applications of optimisation techniques and tools in maritime logistics context.

(S4) Teamwork
Students will develop their teamworking skills through group discussion to analyse case studies in lectures/seminars.

(S5) Organisation skills
Students will develop time management skills by meeting deadlines of exercises tasks and assignments.

(S6) Communication skills
Students will develop communication skills by engaging with case studies, report writing and working in groups.

(S7) IT skills
Students will develop IT skills and apply optimisation tools during lab sessions and assignments.

Teaching and Learning Strategies

2 hour lecture x 10 weeks
1 hour lab x 5 weeks
125 hours self-directed learning



International logistics and global maritime logistics:
Concept of international logistics; different channels in international logistics; challenges in international logistics; logistics processes in case studies; concept of maritime logistics; relationship between international trade and international logistics.

Freight logistics:
Concepts of freight logistics; general routing and scheduling techniques such as the shortest path method; concept of inter-modal, multi-modal, synchro-modal; quantitative optimisation tools such as Excel Solver.

Container logistics:
Container logistics chain; container fleet management; causes for empty container repositioning; inland empty container repositioning; global empty container repositioning; various solutions to empty container repositioning from channel perspective; quantitative techniques for container management such as network flow models and inventory control systems; application of quantitative techniques.

S hipping logistics:
Shipping service types; Liner shipping and tramp shipping business models; planning problems in shipping logistics; shipping network design and solution techniques; ship deployment and scheduling and solution techniques; ship speed optimisation in relation to economic and emission performance; application of descriptive/prescriptive data analytics techniques with Excel for shipping big data (e.g. Automated Identification Systems data).

Port/terminal management:
Logistics processes at container terminals; integrated planning for terminal operations; integration of entire logistics processes in container terminals; quantitative techniques for port/terminal management; application of quantitative techniques.

Sustainability issues:
With the increasing concerns on climate change and global warming, transport industry is among the top three CO2 emitters among all economic sectors; what are the measures to reduce the emissions from shipping and ports ?

Recommended Texts

Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.