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Course Syllabus

Bachelor 2024/2025

Distribution Logistics

Type: Compulsory course (Digital Platforms and Logistics)
Area of studies: Management
Delivered by: Department of Logistics and Supply Chain Management
Where: St.Petersburg School of Economics and Management
When: 4 year, 1 module
Mode of studies: offline
Open to: students of all HSE University campuses
Instructors: Anna Strimovskaya
Language: English
ECTS credits: 3

Course Syllabus

Full Syllabus

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

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

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

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

Assessment Elements

  • non-blocking 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.
  • non-blocking Oral Exam
    Oral Exam, includes one sophisticated question
  • non-blocking Test
    test solving
  • non-blocking 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.
Interim Assessment

Interim Assessment

  • 2024/2025 1st module
    0.17 * Homework + 0.26 * Individual task: report on the agreed topic + 0.4 * Oral Exam + 0.17 * Test
Bibliography

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