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Course Syllabus

Master 2021/2022

International Operational and Supply Chain Management

Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type: Elective course (Master of International Business)
Area of studies: Management
Delivered by: Магистерская программа "Международный бизнес", направление подготовки "Менеджмент"
Where: Faculty of World Economy and International Affairs
When: 2 year, 1, 2 module
Mode of studies: offline
Open to: students of one campus
Instructors: Гаврилюк Юрий Сергеевич, Irina Kratko
Master’s programme: International Business
Language: English
ECTS credits: 4
Contact hours: 40

Course Syllabus

Full Syllabus

Abstract

The course syllabus sets minimal requirements for student’s knowledge and skills and determines the content and forms of study and performance evaluation. The course syllabus is designed and suitable for faculty teaching this course, teaching assistants and students studying at the Master of International Business Program, Degree code 38.04.02 "Management". The syllabus is developed according to: • the standard educational requirements of «National Research University «Higher School of Economics» (HSE) for the Degree code 38.04.02 in Management; • the Master of International Business program curriculum.
Learning Objectives

Learning Objectives

  • to provide students with the basic understanding of contemporary supply chain organization on local and international levels
  • to introduce students to existing operational management practices and supply chain strategies
  • to train students to identify operations optimization opportunities within one or multiple supply chains
  • to support students in development of practical operational management solutions targeted on supply chain optimization
  • to develop modelling and analysis tools and approaches to be implemented further on by students in their practical managerial activities
Expected Learning Outcomes

Expected Learning Outcomes

  • be able to define optimal supply chain setup in variety of surrounding environmental conditions
  • be able to develop warehousing solutions to support specific logistics flows
  • be able to manage the creation and maintenance of operational information system
  • obtain skills in stock management
Course Contents

Course Contents

  • Supply chain organization and logistics flows
  • Stock management
  • Warehousing and transport logistics solutions
  • Standard operational procedures
  • Productivity analysis and operational KPIs
  • Added value services and 3rd parties integration in supply chains
  • Supplier-customer collaboration
  • Integral supply chain solutions development and implementation
Assessment Elements

Assessment Elements

  • non-blocking Final business solution presentation
  • non-blocking Classroom participation
  • non-blocking Individual and group tasks fulfillment
  • non-blocking Analysis of another team’s group task
  • non-blocking Final business solution presentation
  • non-blocking Classroom participation
  • non-blocking Individual and group tasks fulfillment
  • non-blocking Analysis of another team’s group task
Interim Assessment

Interim Assessment

  • 2021/2022 2nd module
    0.2 * Final business solution presentation + 0.2 * Analysis of another team’s group task + 0.5 * Individual and group tasks fulfillment + 0.1 * Classroom participation
Bibliography

Bibliography

Recommended Core Bibliography

  • Agustina, D., Lee, C. K. M., & Piplani, R. (2014). Vehicle scheduling and routing at a cross docking center for food supply chains. International Journal of Production Economics, (C), 29. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.a.eee.proeco.v152y2014icp29.41
  • Cardos, M., & Garcia-Sabater, J. P. (2006). Designing a consumer products retail chain inventory replenishment policy with the consideration of transportation costs. International Journal of Production Economics, (2), 525. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.a.eee.proeco.v104y2006i2p525.535
  • Disney, S. M., Farasyn, I., Lambrecht, M., Towill, D. R., & de Velde, W. V. (2006). Taming the bullwhip effect whilst watching customer service in a single supply chain echelon. European Journal of Operational Research, (1), 151. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.a.eee.ejores.v173y2006i1p151.172
  • Steven Nahmias, & Stephen A. Smith. (1994). Optimizing Inventory Levels in a Two-Echelon Retailer System with Partial Lost Sales. Management Science, (5), 582. https://doi.org/10.1287/mnsc.40.5.582
  • Tang, S.-L., & Yan, H. (2010). Pre-distribution vs. post-distribution for cross-docking with transshipments. Omega, (3–4), 192. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.a.eee.jomega.v38y2010i3.4p192.202
  • Van Belle, J., Valckenaers, P., & Cattrysse, D. (2012). Cross-docking: State of the art. Omega, (6), 827. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.a.eee.jomega.v40y2012i6p827.846
  • Wright, D., & Yuan, X. (2008). Mitigating the bullwhip effect by ordering policies and forecasting methods. International Journal of Production Economics, (2), 587. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.a.eee.proeco.v113y2008i2p587.597
  • Yu, W., & Egbelu, P. J. (2008). Scheduling of inbound and outbound trucks in cross docking systems with temporary storage. European Journal of Operational Research, (1), 377. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.a.eee.ejores.v184y2008i1p377.396

Recommended Additional Bibliography

  • Agustina, D., Nanyang Technological University, S., Lee, C. K. M., & Piplani, R. (2010). A Review: Mathematical Modles for Cross Docking Planning. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.B3AB58CC
  • Beutel, A.-L., & Minner, S. (2012). Safety stock planning under causal demand forecasting. International Journal of Production Economics, (2), 637. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.a.eee.proeco.v140y2012i2p637.645
  • Carlsson, C., & Fuller, R. (2000). Reducing the Bullwhip Effect by Means of Intelligent Soft Computing Methods. Working Papers. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.p.amr.wpaper.106