MBA 2396 Operational Management

MBA 2396 Operational Management

Course code: 
MBA 2396
Department: 
Strategy and Entrepreneurship
Credits: 
4
Course coordinator: 
Dai Yue
Jelmer Pier van der Gaast
Heidi Wiig
Course name in Norwegian: 
Operational Management
Product category: 
Executive
Portfolio: 
MBA China
Semester: 
2027 Spring
Active status: 
Active
Level of study: 
Master
Teaching language: 
English
Course type: 
One semester
Introduction

Operations management is concerned with the production and delivery of goods and services. It encompasses the design of products and processes, the planning and execution of production, and the acquisition and deployment of resources. Efficient operations can provide a firm with major competitive advantages, as the ability to respond to consumer and market requirements quickly, at low cost, and with high quality is vital for sustained profitability and growth.

The course aims to familiarize you with the problems and issues confronting operations managers and provide you with concepts, insights, and tools to address these issues in order to gain a competitive advantage through operations.

We will explore how different business strategies require different business processes and, conversely, how different operational capabilities enable and support various strategies to achieve a competitive advantage. A process view of operations will be used to analyze key operational dimensions such as capacity management, cycle time management, supply chain and logistics management, and quality management. Additionally, we will connect to recent developments such as lean or world-class manufacturing, just-in-time operations, time-based competition, and business re-engineering.

Learning outcomes - Knowledge

Upon completion, the student will be able to:

  • Identify strategic and operational challenges that operations managers face.
  • Analyze various frameworks for addressing strategic and operational challenges in operations management.
  • Describe the principles of process analysis and improvement.​
  • ​Apply analytical techniques to diagnose operational problems and propose informed managerial decisions.
Learning outcomes - Skills

Upon completion, the student will be able to:

  • Apply concepts, principles, and methods of operations management within a supply chain context.
  • Demonstrate managerial leadership in operations management.
  • Analyze contemporary operations management challenges using case study methodologies.
General Competence

Upon completion, the student will be able to:

  • Evaluate ethical dilemmas and responsibilities relevant to operations management, proposing justifiable solutions.
Course content
  • Overview of the course: Operations management defined; linking operations to corporate strategy.
  • Business process re-engineering: a business management strategy focusing on the analysis and design of workflows and processes within an organization.
  • Identification and management of bottlenecks: techniques to identify bottlenecks and optimize process flow.
  • Waiting line models: why queues form, an introduction to queuing models, trade-offs, and managerial insights.
  • AI in operations management.
  • Classification of products: functional and innovative products.
  • Inventory management: the planning and controlling of inventories to meet the competitive priorities of the organization.
  • The "Beer Game".
  • The "Outsourcing Game".

Two of the teaching hours in this course are dedicated to CSR, ethics, social and environmental issues.

Teaching and learning activities

1 ECTS credit corresponds to a workload of 26-30 hours

The course is conducted as a teaching module, where students have classes all day for four subsequent days, a total of 32 hours.

The course is a part of a full MBA and examination in all courses in the MBA programme must be passed in order to obtain a certificate for the MBA degree.

In all BI Executive courses and programmes, there is a mutual requirement for the student and the course responsible regarding the involvement of the student's experience in the planning and implementation of courses, modules and programmes. This means that the student has the right and duty to get involved with their own knowledge and practice relevance, through the active sharing of their relevant experience and knowledge.

Software tools
No specified computer-based tools are required.
Additional information

Recommended reading:
In the case folder:

  1. Fasten: Challenging Uber and Lyft with a New Business Model, HBS case 9-616-062
  2. Process fundamentals, HBS case 9-696-023
  3. Pactum’s AI in Contract Negotiations: Walmart and Maersk, HBS case TB0756-PDF-ENG
  4. How Generative AI Improves Supply Chain Management, Harvard Business Review R2501F-PDF-ENG
Qualifications

Granted admission to the BI-Fudan programme. Please consult our student regulations.

Disclaimer
Changes in exam type can be made until the course starts. In addition, unforeseen events or external conditions may call for deviations in teaching and exams.​

Assessments
Assessments
Exam category: 
School Exam
Form of assessment: 
Written School Exam - pen and paper
Exam/hand-in semester: 
First Semester
Weight: 
70
Grouping: 
Individual
Support materials: 
  • All printed and handwritten support materials
  • BI-approved exam calculator
Duration: 
3 Hour(s)
Comment: 
The students are evaluated through a written school exam, counting 70% of the final grade.
Exam code: 
MBA 23963
Grading scale: 
ECTS
Resit: 
Examination when next scheduled course
Exam category: 
Submission
Form of assessment: 
Submission PDF
Exam/hand-in semester: 
First Semester
Weight: 
30
Grouping: 
Group (7 - 10)
Duration: 
2 Week(s)
Comment: 
The students submit a slide presentation in pdf format, counting 30% of the final grade.
Exam code: 
MBA 23964
Grading scale: 
ECTS
Resit: 
Examination next semester, thereafter when next scheduled course
Type of Assessment: 
Ordinary examination
All exams must be passed to get a grade in this course.
Total weight: 
100
Student workload
ActivityDurationComment
Teaching
32 Hour(s)
Prepare for teaching
10 Hour(s)
Student's own work with learning resources
32 Hour(s)
Individual problem solving
13 Hour(s)
Case discussion
Individual problem solving
20 Hour(s)
Reveiw and prepare for exam
Examination
3 Hour(s)
Sum workload: 
110

A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 4 ECTS credit corresponds to a workload of at least 110 hours.

Reading list