Kursens beskrivning

LEARNING OUTCOMES

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

  
  

Beskrivning

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