TU-E2021 - Advanced Operations Management D, Lecture, 23.10.2023-30.11.2023

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Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

After completing the course, student is able to:

  • Can evaluate, analyze and choose appropriate approaches for design, plan and control of advanced operations in global supply chain context.
  • Can model different supply chain designs and planning solutions to address various trade-offs in operations management.
  • Can apply analytical or simulation models with different OM models to solve challenging supply chain problems and use these to evaluate the suitability of solutions in different contexts: can identify the relevant drivers of performance and constraints in the environment and linked to the business strategy.
  • Identifies and can analyze the changes and benefits from digitalization and advancement of production technologies.
  • Evaluate sustainability implications of operations related decisions from strategy and design to planning. Identify with specific requirements of design and management of closed-loop supply chains.

Credits: 5

Schedule: 23.10.2023 - 30.11.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Lauri Saarinen, Jan Holmström

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content

  • valid for whole curriculum period:

    The course covers key operations topics from demand analysis to operations strategy. Moving from demand analytics and forecasting models, to planning processes and coordination of supply and demand through sales and operations planning. Based on the analysis of the demand side, we will design competitive operations with the use of process analysis and design, factory physics and supply chain design. We will evaluate solutions to operations problems using the fundamental models and relevant analytics and simulation tools, valuing operations flexibility, costs, network design, and optimizing capacity and decisions under uncertainty. We will also cover state-of-the art of planning and control of supply chains from practice and theory.

    Key focus area and viewpoint of the couse are sustainable operations and sustainability of the decisions by the operations managers. We will evaluate the options for local production and innovation for more resilient and sustainable operations that can be competitive and contribute to more sustainable businesses for future.

Assessment Methods and Criteria

  • valid for whole curriculum period:

    • Individual assignments
    • Group project
    • Class activity
    • Home-exam (individual project assignment)

Workload

  • valid for whole curriculum period:

    • Lectures and readings (44 hours)
    • Weekly assignments, exercises and independent study (72 hours)
    • Project assignment and report (20 hours)

DETAILS

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    9 Industry, Innovation and Infrastructure

    12 Responsible Production and Consumption

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Autumn II
    2023-2024 Autumn II
    2023-2024 Spring IV

    Enrollment :

    Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu (sisu.aalto.fi) instead of WebOodi. Registration through WebOodi. The number of students admitted to the course is limited. Students are given priority as follows: 1) Master s students in Industrial Engineering and Management program, 2) exchange students in the Industrial Engineering and Management Master s program, and 3) other students.

Rules of Conduct - Students´ Rights and Responsibilities (in force from 1 August 2020)

Aalto University Code of Academic Integrity and Handling Violations Thereof