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Regular version of the site
2025/2026

Global Operations Management and Supply Chain Management

Type: Mago-Lego
When: 3, 4 module
Open to: students of one campus
Instructors: Valery Pavlov
Language: English
ECTS credits: 6
Contact hours: 48

Course Syllabus

Abstract

The course equips students both with appreciation for the time-proven qualitative frameworks such as Lean as well as core skills in quantitative modeling such as optimisation modeling with Excel Solver and simulation modeling with AnyLogic/AnyLogistix, preparing them to solve a wide range of typical business problems in global supply chains. The problems range from process-level line balancing to strategic decisions concerning supply chain network design.
Learning Objectives

Learning Objectives

  • This core course provides insights into the basic theories, principles, concepts, and techniques used to design, analyze, and improve the operational capabilities of an organization in a global supply chains network.
  • By the end of the course, students will be able to: develop optimization models using Excel Solver and simulation models with Anylogic/AnyLogistics to apply data-driven, prescriptive analytics, approach to production and logistics problems.
Expected Learning Outcomes

Expected Learning Outcomes

  • Use binary variables to model binary decisions in optimisation models.
  • Understand the main principles of linear programming, analyse a business problem, create a linear program and use Solver to find its optimal solution.
  • Analyse and identify logistics problems that can be formulated as a transhipment model, create a model and use Solver to find the optimal solution.
  • Define the concepts of the transformation process and value creation in a business context. Explain the roles and core objectives of operations and operations management. Distinguish between a supply chain and the practice of supply chain management. Categorize the strategic, tactical, and operational decisions within the scope of supply chain and operations management. Contrast the core paradigms of operational efficiency and supply chain resilience.
  • Explain the concept of "strategic fit" and how operations and supply chain strategies align with overall business objectives.
  • Distinguish between supply chain strategies oriented toward efficiency and those focused on effectiveness and responsiveness.
  • Analyze the causes and impacts of the bullwhip effect and the ripple effect on supply chain performance.
  • Explain the importance of facility location decisions and the interconnected phases of strategic, tactical, and operational network design.
  • Apply quantitative models such as the warehouse location problem to solve basic facility location and network design scenarios.
  • Synthesize long-term strategic network decisions with mid-term configuration and operational deployment requirements in an integrated planning framework.
  • Analyze and propose network configurations that meet conflicting objectives such as efficiency and service requirements.
  • Apply the concepts of shipment consolidation and cross-docking to design networks that achieve economies of scale in transportation.
  • Build and analyze simulation models in AnyLogic to test and optimize facility layouts, capacity plans, and process flows.
Course Contents

Course Contents

  • Basics of Supply Chain and Operations Management
  • Operations and Supply Chain Strategy
  • Foundations of Linear Programming
  • Modeling Binary Decisions in Optimisation
  • Facility Location Planning and Network Design
  • Transportation and Supply Network Modeling
  • Distribution and Transportation Network Design
  • Factory Planning and Process Design
Assessment Elements

Assessment Elements

  • non-blocking Tests at seminars and lectures
    Tests are taken at each seminar and at a number of lectures in the format of oral surveys or in the format of a small test.
  • non-blocking Seminar activity
    At a number of seminars students solve cases in teams. The grade is based on the results of the work and defense of the team solution of the case at the seminar. The final score is added up as the sum of points earned by the student, divided by the number of cases solved at the seminar.
  • non-blocking Exam
    During exam students are solving a case. Case questions are formulated on the basis of lecture material and seminars.
  • non-blocking Class attendance
Interim Assessment

Interim Assessment

  • 2025/2026 4th module
    0.04 * Class attendance + 0.06 * Class attendance + 0.35 * Exam + 0.15 * Seminar activity + 0.1 * Seminar activity + 0.12 * Tests at seminars and lectures + 0.18 * Tests at seminars and lectures
Bibliography

Bibliography

Recommended Core Bibliography

  • Global supply chain and operations management : a decision-oriented introduction to the creation of value, Ivanov, D., 2021

Recommended Additional Bibliography

  • Alves, J. R. X., & Alves, J. M. (2015). Production management model integrating the principles of lean manufacturing and sustainability supported by the cultural transformation of a company. International Journal of Production Research, 53(17), 5320–5333. https://doi.org/10.1080/00207543.2015.1033032
  • Introduction to supply chain analytics : with examples in AnyLogic and anyLogistix software, Ivanov, D., 2024
  • KEOUGH, W. (2012). The Toyota Way to Lean Leadership: Achieving and Sustaining Excellence through Leadership Development. The Journal of Applied Christian Leadership, 6(2), 135–136. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=117094865
  • Linear programming : an introduction, Feiring, B.R., 1986
  • Pakdil, F., & Leonard, K. M. (2017). Implementing and sustaining lean processes: the dilemma of societal culture effects. International Journal of Production Research, 55(3), 700–717. https://doi.org/10.1080/00207543.2016.1200761

Authors

  • Pavlov Valerii Petrovich
  • Крупенко Анна Анатольевна