PhD program
Logistics (by branches)

Logistics (by branches)

QUALIFICATION

  • Scientific and pedagogical direction - Doctor of Philosophy (PhD)

MODEL OF GRADUATING STUDENT

1. Systematize the main directions for improving business processes, taking into account the need to introduce innovative technologies in production and management;
2. Design and analyze business processes in the field of logistics, develop proposals to improve their efficiency based on the use of engineering and reengineering methods;
3. Analyze engineering projects and the practice of their implementation, evaluate the effectiveness of business processes, the feasibility of reengineering logistics business processes based on methods and software for structural, cost and dynamic analysis of business processes;
4. Apply mathematical apparatus to solve problems, build and apply a mathematical model corresponding to the process and check its adequacy, analyze the modeling results, make a decision based on the results obtained;
5. Justify the correctness of the chosen model, comparing the results of experimental data and the obtained solutions, evaluate the economic efficiency of the proposed management solutions in supply chains;
6. Analyze and model logistics systems, processes and supply chains in the format of multicriteria optimization problems;
7. Organize and conduct educational activities taking into account modern achievements of teaching methods and professional knowledge in the field of reengineering of logistics business processes

Program passport

Speciality Name
Logistics (by branches)
Speciality Code
8D11301
Faculty
High School of Economics and Business

disciplines

Academic writing
  • Number of credits - 3
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to develop the ability to apply the methodological tools of academic writing to create original scientific products in research, project, and teaching activities based on national and international standards. During the study of course, doctoral students should be competent in: - identify the features of academic writing in the context of writing scientific articles, research applications, research reports and reviews, reviews, expert opinions, educational and methodological complexes of disciplines in accordance with the scientific style of presentation; - develop a basic model of scientific writing within a single concept: setting the problem, substantiating the hypothesis, formulating the thesis, building the text, arguing the results and conclusions; - apply intellectual actions to scientific writing: critical assessment of information, scientific terminology, scientific polemics, verifiability of data, maintaining a balance between General knowledge and personal contribution; correct citation; - apply the rules for working with scientific electronic libraries, digital and information resources, computer technologies, online services for conducting independent expertise, reviewing, entering information into international databases with a high citation level and ipact factor; - comply with the principles of academic ethics by presenting the results of academic writing based on modern scientific communication technologies.During the study of the discipline doctoral students will learn following aspects: style-forming elements of scientific writing; the structure of academic writing: scientific problems, hypothesis solutions, object, subject of research, empirical data, conclusions; methods of semantic analysis of the text; citation rules; technologies, online services of reference apparatus and mental maps; rules for annotation, summarizing; forms of presentation of results of academic writing; requirements of domestic and international databases.

Modern methods of integrated strategic planning of logistics systems
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to form the ability of doctoral students to develop theory, methods for making effective decisions in the practice of integrated planning of logistics systems; to develop a methodology for designing associative interaction of logistics systems; to choose among a variety of mathematical methods tools for planning integrated medicines; to assess the level of logistics services of the projected supply chain.

Reengineering Logistics
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to form the ability of doctoral students to systematically reorganize logistics processes: material, financial and information flows aimed at simplifying the organizational structure, redistributing and minimizing the use of various resources, reducing the time needed to meet customer needs, improving the quality of their service based on business process modeling to dramatically improve company performance.

Scientific Research methods
  • Number of credits - 3
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to develop the ability to apply a set of methods for conducting fundamental and applied research for the effective implementation of full-cycle scientific projects, identifying their current and innovative directions within the object of study. During the study of course, doctoral students should be competent in: - develop a plan for organizing scientific research and an algorithm for conducting it, formulating goals, objectives, object, subject, hypotheses and tools for studying in relation to a specific topic; - determine the necessary set of research methods of theoretical, fundamental and applied nature in relation to the study of the problem, with the planning and organization of experimental work; - identify the possibilities of using interdisciplinary, quantitative and qualitative methods, as well as modeling and forecasting methods in the study of parameters, systems and processes of the object of study; - develop an analytical system based on the creation of a Bank of quantitative, qualitative, statistical, mathematical procedures for collecting and analyzing scientific information; - create scientific products containing innovative areas of applied knowledge in the form of articles, reports, projects, expert opinions to present the results to the scientific community independently or as part of creative teams.During the study of the discipline doctoral students will learn following aspects: scientific knowledge: planning, organization and implementation of empirical, theoretical, experimental stages; methods and techniques of scientific knowledge: the method of logical and semantic modeling, deduction, induction, synthesis, extrapolation, structural and functional method; general scientific theoretical methods: mathematical, statistical, predictive; special methods: private scientific and disciplinary; qualitative, quantitative, interdisciplinary methods; analytical system of research results.

Data for 2023-2026 years

disciplines

Actual problems and technologies of designing logistics systems and supply chains
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - When studying the discipline will be considered: the functions and design stages of the logistics system; project management methods; methods for evaluating the effectiveness of design decisions, project management methods, and designing logistics systems; reengineering tasks of logistic business processes; problems of coordination and organization of project management; the tasks of administering the project and evaluating the effectiveness of its implementation, the economic content of managing logistics systems.

Conceptual Models of Logistics Systems
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The course is aimed at studying methods for developing and analyzing conceptual models used in logistics systems research and design. Topics include principles of conceptual modeling, logistics system structures and architectures, representation of system relationships, formalization of logistics processes, development and justification of research hypotheses, and construction of conceptual frameworks for logistics systems.

Mathematical Methods and Research
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The course forms a scientific worldview regarding the research methods of logistic processes, introduces methodological issues in the study of logistic processes. When studying the discipline, doctoral students will consider: potential opportunities to increase the efficiency of the functioning of material-conducting systems that the use of the logistic approach opens, the basic economic and mathematical methods and models used in the analysis of logistic systems; assessment of the adequacy of mathematical models

Stochastic Modeling of Logistics Systems
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The course is designed to study methods for developing and applying stochastic models to represent uncertainty and randomness in logistics systems. Topics include probability theory fundamentals, stochastic processes, demand and supply risk modeling, stochastic inventory models, uncertainty factors in transportation and warehousing systems, and decision-making methods under risk conditions.

Stochastic processes in logistics and supply chain management
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to analyze indicators of stochastic processes in the event of uncertainty in supply chain management and to evaluate indicators of reliability, stability and efficiency of the supply chain based on SCOR modeling of the supply chain. Generate approaches to optimizing supply chains based on controlling business processes using the concept of benchmarking.

Sustainable logistics and supply chain management
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to develop doctoral students' ability to generate innovative mechanisms for managing socio–economic processes within the framework of sustainable development goals; assess reliability, uncertainty and efficiency of the supply chain; transform logistics strategy and infrastructure; rationally and effectively use supply chain resources.

System Design of Logistics Networks
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The course focuses on modern approaches to the strategic design and reconfiguration of logistics networks. Topics include logistics network architecture, principles of system design, optimization of network structures, transportation and warehousing infrastructure design, digital technologies in logistics networks, and the development of resilient and adaptive supply networks.

Theory and Methodology of Logistics Systems Modeling
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The course focuses on theoretical foundations and methodological approaches to the study, analysis, and modeling of logistics systems and supply chains. Topics include theoretical concepts of logistics systems modeling, systems analysis methods, conceptual, mathematical and simulation models, model verification and validation, research methods for complex logistics systems, and the application of modeling results in scientific research.

Data for 2023-2026 years

INTERNSHIPS

Pedagogical Practice
  • Type of control - Защита практики
  • Description - Formation of practical, educational-methodical skills of conducting lectures, seminars, creatively apply scientific, theoretical knowledge, practical skills in teaching activities, conduct training sessions in the disciplines of the specialty; own modern professional techniques, methods of training, use in practice the latest theoretical, methodological advances, make educational, methodological documentation.

Research Practice
  • Type of control - Защита практики
  • Description - The purpose of the practice: gaining experience in the study of an actual scientific problem, expand the professional knowledge gained in the learning process, and developing practical skills for conducting independent scientific work. The practice is aimed at developing the skills of research, analysis and application of economic knowledge.

Data for 2023-2026 years