Delivered at:: Department of Logistics and Supply Chain Management

Course type:: Compulsory course

When:: 4 year, 2 module

Instructor

Strimovskaya, Anna

Full Syllabus Ask Question

Abstract

Lecture series cover key topics of distribution logistics. The aim of the course is to familiarize the participating students with the advanced concepts and tools of planning and distribution network design; to develop students’ analytical and decision making skills related to the tasks of distribution logistics of different levels. The course is based on interactive teaching style with intensive student participation. The course combines lectures and group-work components, class discussions, student’s group work presentations, case-studies.

Learning Objectives

Get acquainted to the basic approaches of organizing optimal distribution network
Familiarize with the core logistics models and methods in order to organize intermediaries, transport and warehouse collaboration within the distribution logistics system
Get used to practical case study in the field of SCM
Manage self-study investigation on the given topic
Research the peculiarities of logistic techniques used in retail distribution networks

Expected Learning Outcomes

Understand the challenges of uncertain economic environment in order to discuss ongoing research while using various concepts from the materials offered in the course
Demonstrate deep knowledge and critical understanding of theories, principles, concepts and methodologies of distribution logistics
Familiarize with the demand-driven frameworks and tools
Use strong analytical skills and apply them to reflect on distribution network design decisions while using a quantitative tool

Course Contents

Logistic distribution system
Basic approaches to organizing optimal distribution network
Creating value-adding networks
Discounted cash flow analysis
Retail logistics networks
Demand-driven supply chain
Intermediaries in distribution logistics system

Assessment Elements

Homework
Regalement for homework: students are asked to read material and answer question in writing at home. Grades Assessment Criteria «Excellent» (8-10) A critical analysis which demonstrates original thinking and shows strong evidence of preparatory research and broad background knowledge. «Good» (6-7) Shows strong evidence of preparatory research and broad background knowledge. Excellent expression. «Satisfactory» (4-5) Satisfactory overall, showing a fair knowledge of the topic, a reasonable standard of expression. «Fail» (0-3) Limited evidence of relevant knowledge and an attempt to address the topic.
Oral Exam
Oral Exam, includes one sophisticated question
Individual task: report on the agreed topic
The group of students 5-6 people in each one is presenting a report on the agreed topic (research article). The report should be supported by Power Point Presentation and should include: • Critical analysis of the article • Perspective research directions and proposals • Student’s own opinion on the core aspects of the article • Advantages and disadvantages of the proposed methodology • Other relevant information from the article The presentation should be of about 10-15 PP pages, the duration of the presentation should be 8-10 min.
Test
test solving

Interim Assessment

2025/2026 2nd module
0.17 * Homework + 0.26 * Individual task: report on the agreed topic + 0.4 * Oral Exam + 0.17 * Test

Bibliography

Recommended Core Bibliography

Song, Y., & Hua, X. (2021). Innovation Path of Leasing Trade under Smart Logistics Technology by Big Data Analysis. Mobile Information Systems, 1–12. https://doi.org/10.1155/2021/8347904

Recommended Additional Bibliography

Mi Gan, Shuai Yang, Dandan Li, Mingfei Wang, Si Chen, Ronghui Xie, & Jiyang Liu. (2018). A Novel Intensive Distribution Logistics Network Design and Profit Allocation Problem considering Sharing Economy. https://doi.org/10.1155/2018/4678358

Authors

Strimovskaia Anna Viktorovna
Миронова Алена Геннадьевна

Bachelor’s Programme 'Digital Platforms and Logistics'

Contacts:

Distribution Logistics