Artificial Intelligence Systems in Logistics

2020/2021

Academic Year

ENG

Instruction in English

4

ECTS credits

Delivered at:

Department of Operations Management and Logistics

Course type:

Elective course

When:

4 year, 1, 2 module

Instructor

Kuznetsova, Yulia A.

Course Syllabus

Abstract

The course is focused on obtaining knowledge and practical skills of working with intelligent systems in the logistic processes management. The course introduces the main methods and technologies of knowledge representation and formalization, the principles of knowledge management in the organization, technologies of Web mining and text mining, methods of cognitive mapping, systems of fuzzy sets. Practical classes are conducted using tools of ontological modeling and building mental maps, as well as tools for text mining and web scrapping.

Learning Objectives

• The main goal of the course is to develop skills of using methods, technologies and systems of artificial intelligence in the field of logistics and supply chain management, as well as to learn modern concepts and knowledge management systems of the organization.

Expected Learning Outcomes

• Analyzes information about the company, formalizes knowledge about its activities into models
• Creates ontologies of logistics processes
• Analyzes text information using Text Mining technology
• Searches, collects and analyzes information using Web Mining technology
• Develops a mental map to solve problems in logistics

Course Contents

• Artificial intelligence systems and knowledge management in logistics and supply chain management
  Knowledge-based management of logistic system. Cognitive management. Learning organization. Structure and classification of the organization's knowledge. Knowledge management and decision support. Knowledge management system. Knowledge engineering. Knowledge representation models. Production models. Semantic network. Frames. Ontologies. Ontology formalization languages. Systems ontology engineering and application of ontologies in business. The modeling of ontology of logistic processes based on the SCOR recommendations. Ontology development tools.
• Text mining technologies in logistic processes management
  Text Mining systems. Functions, architecture of the Text Mining system. Tools for linguistic analysis. The application of Text Mining technologies in a CRM systems. The application of Text Mining in the contractors information analysis. Price forecasting based on news texts analysis. Intelligent chat-bots.
• Web mining technologies for logistic processes support
  Web Mining Systems. The problem of relevant information search. Search for information using traditional search engines. The concept of an intelligent agent. Multi-agent system and its architecture. Intelligent search using multi-agent technologies. Intelligent search using ontologies. Basics of Web scraping. Application of Web Mining systems in logistics activities.
• Cognitive mapping and scenario analysis for problem solutions in supply chain management
  Cognitive models and mental maps. Selection of factors of the studied situation. Formalization of the influence of qualitative factors. Creating scenarios for the development of situations. Performing scenario calculations based on a cognitive model. Tools for cognitive model building. Applications of cognitive models for problem solutions in supply chain management.

Assessment Elements

• Assessment
• Project
• Final Examination
  Written electronic test (online)

Interim Assessment

• Interim assessment (2 module)
  0.2 * Assessment + 0.5 * Final Examination + 0.3 * Project

Bibliography

Recommended Core Bibliography

• Silge, J., & Robinson, D. (2017). Text Mining with R : A Tidy Approach (Vol. First edition). Sebastopol, CA: O’Reilly Media. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=1533983
• Под ред. Лычкиной Н.Н. - ИНФОРМАЦИОННЫЕ СИСТЕМЫ УПРАВЛЕНИЯ ПРОИЗВОДСТВЕННОЙ КОМПАНИЕЙ. Учебник и практикум для академического бакалавриата - М.:Издательство Юрайт - 2019 - 249с. - ISBN: 978-5-534-00764-0 - Текст электронный // ЭБС ЮРАЙТ - URL: https://urait.ru/book/informacionnye-sistemy-upravleniya-proizvodstvennoy-kompaniey-433043
• Станкевич Л. А. - ИНТЕЛЛЕКТУАЛЬНЫЕ СИСТЕМЫ И ТЕХНОЛОГИИ. Учебник и практикум для бакалавриата и магистратуры - М.:Издательство Юрайт - 2019 - 397с. - ISBN: 978-5-534-02126-4 - Текст электронный // ЭБС ЮРАЙТ - URL: https://urait.ru/book/intellektualnye-sistemy-i-tehnologii-433370

Recommended Additional Bibliography

• Bernard Marr, & Matt Ward. (2019). Artificial Intelligence in Practice : How 50 Successful Companies Used AI and Machine Learning to Solve Problems. Wiley.
• Munzert, S. (2014). Automated Data Collection with R : A Practical Guide to Web Scraping and Text Mining. HobokenChichester, West Sussex, United Kingdom: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=878670