ISM-E3003 - Operations and Supply Chain Analytics, Lecture, 21.10.2024-4.12.2024

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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

The operations function of an organization is responsible for delivering products to match supply with demand. This course provides students with core analytical concepts and tools to improve an organization's operational decision-making.

After the course, students will understand common issues faced by operations and supply chain managers, be able to apply analytical tools to address these problems to obtain insights, and understand the role and limits of analytics in improving operational decision-making.

Credits: 6

Schedule: 21.10.2024 - 04.12.2024

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Heikki Peura

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 will include an overview of analytics for business operations and supply chains; data-driven decision-making for capacity and inventory management; optimization in logistics; and supply chain design, with applications from e.g., retail and manufacturing.

Assessment Methods and Criteria

  • valid for whole curriculum period:

    Assignments and exam.

Workload

  • valid for whole curriculum period:

    Lectures, independent and group work, and exam.

DETAILS

Study Material

  • valid for whole curriculum period:

    Lecture slides, scientific articles, book chapters, assignments, computer implementations of mathematical/statistical models.

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language: English

    Teaching Period: 2024-2025 Autumn II
    2025-2026 Autumn II

    Registration:

    There is a maximum number of students on this course. Priority will be given to Aalto students studying in (1) the MSc-programs in Information and Service Management & Business Analytics and (2) JOO-students.

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

Aalto University Code of Academic Integrity and Handling Violations Thereof