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Technology and Operations Management


Admission requirements



Operations Management (OM) is a broad area of research. It consists of traditional research areas, such as inventory management, as well as recently emerging research trends like revenue management. The OM research literature is huge and spans more than 5 decades of an exciting blend of theory and application. In recent years there has been an increasing awareness among large corporations and academic institutes of the potential of high quality theoretical and applied OM research in improving fundamental business processes across many sectors. Undoubtedly, operational problems can affect stock prices and shareholder wealth and the value of an effective operations strategy is tremendous. The key question is then how to determine the effective operations strategy which allows firms to significantly increase the likelihood of success, and what are the principles, frameworks, and processes that companies can follow to determine such a strategy?

Course objectives

The purpose of this course is to introduce students to some of the fundamental aspects of OM. These aspects include inventory management, facility location planning, capacity management, pricing, technology, etc. More specifically, the course will:
i. Make students conversant in the language of OM and expand their knowledge in this field.
ii. Help students develop modeling skills and provide them concepts and problem-solving tools, which are applicable to OM. We will cover a broad range of mathematical and analytical techniques in both traditional application domains, such as inventory control, capacity, transportation and production planning, and emerging application domains, such as product assortment and portfolio optimization.
iii. Give students 'hands-on' feel of how OM decisions are made in practice and why they are so complex.


The schedule can be found on the Leiden University student website

Detailed table of contents can be found in blackboard.

Mode of instruction

The course will be a mix of in-class lectures, online lectures, case discussions and computerized applications.

Course Load

8 3 hour lectures
Final 3 hour exam

Assessment method

There are individual assignments, paper-based mid-term quizzes, group assignments and a final exam. Your final grade for this course will be determined based on your performance at all tasks. Note that one needs at least 55% of the points in each component to pass the course. This means, for instance, you could (but not necessarily) pass the course only if you score at least 6.0 in the exam (on a scale of 10). For the detailed weight, please check the syllabus on the blackboard



Reading list

A detailed course manual and a study pack with course readings and case studies will be provided at the start of the course.


You have to sign up for classes and examinations (including resits) in uSis. Check this link for more information and activity codes.

There is only limited capacity for external students. Please contact the programme Co-ordinator


Programme Co-ordinator: ms. Esme Caubo