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

Credits: 5

Schedule: 11.01.2021 - 18.02.2021

Teacher in charge (valid 01.08.2020-31.07.2022): Lauri Saarinen

Teacher in charge (applies in this implementation): Lauri Saarinen

Contact information for the course (valid 08.12.2020-21.12.2112):

The
course staff consists of assistant professor Lauri Saarinen (
lauri.3.saarinen@aalto.fi) and post-doctoral
researcher Siavash Khajavi Haghighat (
siavash.khajavi@aalto.fi).

In student-specific
practical matters please send an email to both 
lauri.3.saarinen@aalto.fi and
siavash.khajavi@aalto.fi.


CEFR level (applies in this implementation):

Language of instruction and studies (valid 01.08.2020-31.07.2022):

Teaching language: English

Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • Valid 01.08.2020-31.07.2022:

    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.

  • Applies in this implementation:

    Overview

    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.

    This
    is a case-based course, and we will use different methods for working on
    operations analytics and simulation. There are two types of assignments during
    the course. Weekly case assignments with questions requiring quantitative and
    qualitative analysis of the given case and its topic for the week. Simulation
    exercise assignments with two smaller and one larger, which are done in groups.
    The weekly case assignments are not extensive reports but more specific
    questions regarding the cases that need to be answered.

    The
    cases have been chosen to correspond to what participants will experience in
    managing operations and supply chains in the workforce. The course analysis tool
    are spreadsheets (student can choose to use e.g., R, Python or Matlab as an
    alternative). Process simulation exercises and project will be done with a
    discrete-event simulation tool Simul8.

    This course is for master students who
    already have background knowledge operations management, with prerequisites for
    the course basic course in operations management (e.g., TU-C2020).

    Course
    format

    The course combines interactive lectures
    and case discussion sessions with individual study of technical materials and
    solving data-analysis problems linked to the cases. Each week consists of two
    sessions:

    • Monday sessions 10:00-12:00 (11.1-15.2) focus on the
      theoretical and technical concepts and different advanced operations management
      topics and how to apply the fundamental operations management concepts in
      analyzing operations. Teaching methods include lecturing, discussions and small
      in-class assignments. Some part of the theoretical and technical concepts can
      be provided asynchronously.
    • Thursday sessions 16:15-18:00
      (14.1-18.2)
      focus on practical applications of the operations management frameworks and
      theories in cases. We will discuss the applications and solutions that students
      have developed for the weekly case. We will also focus on the general insights
      and value of the solutions for design and management of competitive operations
      in general. In the Thursday sessions, the students take an active role in case
      discussion and will be prepared to justify the logic and insight of their case
      solutions that were prepared before the session.
    • Simulation sessions Mondays 8:30-10 (Thursdays
      x 4: check the MyCourses homepage) Simulation exercises focus on Factory Physics
      from basic to more advanced concepts of how processes behave and how to analyze
      and design processes to deliver on the target performance. This is done with
      discrete event simulation analysis. The simulation session presents some
      theoretical knowledge and instructs using of the simulation software that you
      use in small groups to solve small simulation assignments.

    This is an active learning course and
    some preparation is needed prior to both weekly sessions:

    • Monday
      sessions
      : We
      will discuss the theoretical and technical concepts and their application
      within different areas of operations management. The focus of Monday sessions is
      on building a toolbox for analyzing operations from understanding demand to
      designing processes that deliver the performance. Students are expected to
      engage in group and class discussions and when there are some assigned
      readings, the students have familiarized with them prior to the session.
    • Thursday
      sessions
      : Students
      will have prepared and returned their weekly case assignment, which will
      include both practical analysis of case data and also thinking and reflection
      of the operations strategy and the value of the solutions. The weekly returned
      assignment contains the student’s answers to the case assignment questions and short
      reasoning behind the answers.
    • Simulation
      sessions
      : Simulation
      exercise sessions present some technical and theoretical concepts and are aimed
      at walking through the simulation exercises.

    Simulation
    Exercises and sessions

    There
    are three (3) simulation exercises as a part of the course. First two are
    smaller and the last one is a small project. Simulation exercises are done in
    groups of two or three persons. The simulation sessions are arranged for you to help you solve and walk through the solutions of the exercises.

    The
    simulation exercises are carried out using the Simul8 software. Simul8 is a
    computer package for discrete event simulation. It enables to create a visual
    model of a given production process, analyzing the performance of the process
    and simulating alternative scenarios of improving the process. The Simul8
    software requires a membership account which we will provide to all the
    registered students at this course. The software is compatible with Windows OS.
    For more information, see
    www.simul8.com.

    All
    group members should enroll themselves before the fourth session of the course,
    on January 21st. To begin the simulation exercises, we provide you with a
    number of short videos regarding the features and capabilities of the Simul8
    software. All the sessions take place remotely and through the Zoom platform.
    For the first two simulation exercises you have one week for the delivery of
    the solution report. In case of the third (final) simulation exercises we
    assigned two weeks for the development of a comprehensive solution and we
    expect a report that covers the solution reflecting the learnings from the
    case.

    Each
    group delivers weekly a short 2 to 5 pages written report as a solution
    for the first two completed simulation exercises. The report for the third
    simulation exercise is expected to be at least 5 pages long. The questions to be answered in the reports are published in the simulation cases. The solution
    reports for the simulation exercises must be delivered before the next
    exercise session (Monday at 8.00) to MyCourses.

Assessment Methods and Criteria
  • Valid 01.08.2020-31.07.2022:

    • Individual assignments
    • Group project
    • Class activity
    • Exam

  • Applies in this implementation:




    Assessment
    and Grading (Full assessment details in the full syllabus provided as pdf.)

    The course points (max. 100) are
    allocated as follows:

    Weekly
    case assignments: 35 points

    Simulation
    exercises & project: 30 points

    Class
    participation and activity: 20 points

    Exam:
    15 points

    • Home
      exam with open book and assignment of manufacturing and planning control system
      evaluation provided for the exam week.
    Grades and points

    0-49
    points
    0
    50-59
    points
    1
    60-69
    points
    2
    70-79
    points
    3
    80-89
    points
    4
    90-100
    points
    5

Workload
  • Valid 01.08.2020-31.07.2022:

    • Lectures and readings (44 hours)
    • Weekly assignments, exercises and independent study (64 hours)
    • Project assignment and report (20 hours)

DETAILS

Study Material
  • Valid 01.08.2020-31.07.2022:

    A collection of technical readings and cases assigned by the instructors. Reference book for advanced operations management practices can be used.

  • Applies in this implementation:

    General readings and references: Course materials in full version of Syllabus (Find from "Syllabus" section in MyCourses) and under Weekly sections that will cover all materials.

Substitutes for Courses
  • Valid 01.08.2020-31.07.2022:

    TU-E2020 Advanced Operations Management (3-5 cr). 

Prerequisites
  • Valid 01.08.2020-31.07.2022:

    TU-C2020 Operations Management.

SDG: Sustainable Development Goals

    9 Industry, Innovation and Infrastructure

FURTHER INFORMATION

Details on the schedule
  • Applies in this implementation:

    Lectures
    and Case Sessions

    In 2021 the course will be taught online
    with all teaching and interaction sessions happening online with Zoom.

    Monday sessions take place at 10:15-12:00 in Zoom
    (R037/TU7, TUAS, Maarintie 8). Thursday sessions take place at 16:15-18:00 in Zoom (R037/TU7,
    TUAS, Maarintie 8). The sessions last two lecture hours, Monday sessions can be
    shortened if all relevant concepts can be sufficiently covered asynchronously.

    Technical readings are published on Monday
    (by midnight) of the week prior to the session where the readings are
    discussed. Cases will be published on Friday (by midnight) of the week before the
    case session.

    Case assignment solutions are due on Thursday
    12:00 (i.e., on the day of the respective session).

    The preliminary schedule is below.
    Please note that changes are possible before the course.

    Date

    Topics

    11/01/2021

    Week
    1: Valuing supply chain responsiveness, Operations Strategy

    14/01/2021

    Case
    session: Sport Obermeyer

    18/01/2021

    Week
    2: Demand uncertainty and forecasting

    21/01/2021

    Case session:  Canyon - Judgmental forecasting

    25/01/2021

    Week
    3: Pooling and design for postponement

    28/01/2021

    Case
    session: Reebok

    01/02/2021

    Week
    4: Managing inventory and MC simulation for operations, planning and
    scheduling

    04/02/2021

    Case
    session: Skiwear dual-sourcing game and Monte Carlo inventory simulation

    08/02/2021

    Week 5: Managing process lead times - Process
    analysis, lead time reduction, queuing theory, designing processes, process
    mining and identification

    11/02/2021

    Case session: Manzana/Service process analysis

    15/02/2021

    Week 6: Planning systems, digitalization, and
    Advanced Manufacturing

    18/02/2021

    Case
    session: Visitors – Digitalization, additive manufacturing and operations
    strategy


    Simulation
    Exercises and sessions

    There
    are three (3) simulation exercises as a part of the course. First two are
    smaller and the last one is a small project. Simulation exercises are done in
    groups of two or three persons. The simulation sessions are arranged for you to help you solve and walk through the solutions of the exercises.
    Simulation sessions:

    Date

    Topics

    18/01/2021

    Simulation
    1: Bottleneck and process analysis fundamentals

    25/01/2021

    Simulation
    2: Order penetration point and lead times

    08/02/2021

    Simulation
    3: Lead time reduction through design: United Engines Case

    15/02/2021

    Simulation wrap-up session