 | | |
| LOGI0013-1 | Operations planning
|
|
| Duration : | 30h Th |
|
| Number of credits : |
| Master degree in Business Engineering, professional focus in Performance Management and Control, 1st year | | 5 |
|
| Master degree in Business Engineering, professional focus in Performance Management and Control, 1st year | | 5 |
|
| Master degree in Business Engineering, professional focus in Financial Engineering, 1st year | | 5 |
|
| Master degree in Business Engineering, professional focus in Financial Engineering, 1st year | | 5 |
|
| Master in Management Engineering, professional Focus, 1st year | | 5 |
|
| Master in Management Engineering, professional Focus, 1st year | | 5 |
|
| Master degree in Business Engineering, professional focus in Intrapreneurship, 1st year | | 5 |
|
| Master degree in Business Engineering, professional focus in Intrapreneurship, 1st year | | 5 |
|
| Master degree in Business Engineering, professional focus in Modelisation and Technologies, 1st year | | 5 |
|
| Master degree in Business Engineering, professional focus in Modelisation and Technologies, 1st year | | 5 |
|
| Master degree in Business Engineering, professional focus in Supply Chain Management, 1st year | | 5 |
|
| Master degree in Business Engineering, professional focus in Supply Chain Management, 1st year | | 5 |
|
| Master degree in Business Engineering, professional focusin Performance Management Systems, 1st year | | 5 |
|
| Master degree in Business Engineering, professional focusin Performance Management Systems, 1st year | | 5 |
|
|
|
| Lecturer : | Yasemin Arda |
|
Language(s) of instruction :
|
| English language |
|
Organisation and examination :
|
| Teaching in the second semester |
|
Course contents :
|
| The course presents advanced models of production and inventory management (aggregate production planning models, hierarchical production planning, lot-sizing models, scheduling in manufacturing and services, pull production systems and Kanban policies) and familiarizes students with real world production and material flow management problems through two case studies. |
|
Learning outcomes of the course :
|
| Gaining the knowledge and understanding of one of the following fields: supply chain management, financial engineering, performance management systems or intrapreneuriat; being able to mobilize them in order to solve concrete management problems or cases:
- Deepen knowledge in production and inventory management.
- Learn new models and techniques used to manage production and material flows.
Providing concrete solutions to a management problem, integrating a dimension of technology, innovation or production:
- To be able to solve frequently faced problems of production and material flow management.
- To be able to recognize the situations where production and material flow management techniques can be used as decision making tools and to interpret correctly the conclusions which can be derived using these techniques.
Developing a critical sense (arguing):
- To be able to make critical analysis of these different techniques.
- Understand the advantages and limitations of these kinds of approaches for real world applications.
Creative conception of solutions:
- Understand the difficulties of treating real world data and managing real world production and material flow systems.
- Learn how to use the mathematical modeling tool AIMMS to treat real world logistical problems.
- To be able to conduct detailed analysis, drive conclusions, and propose original improvement opportunities for real world logistical systems using these techniques and tools.
Professional capacity for oral communication
Professional capacity for written communication |
|
Prerequisites and co-requisites/ Recommended optional programme components :
|
| Basic concepts of supply chain management, production planing, and inventory management |
|
Planned learning activities and teaching methods :
|
|
- Lectures
- Discussions
- Factory visit / Invited speaker
- Oral presentations of articles/book chapters by the students
- Group projects:
There are two projects to conduct sequentially (in groups of 3 students) during the semester. The first one is an INFORMS case study and the second one is a real case that analyses the production planning problem of a multinational enterprise. Students are wanted to use the modelling tool AIMMS to treat these logistical problems, conduct detailed analysis, drive conclusions, and propose original improvement opportunities. A session of 2 hours is organized for each project to help students in their analysis and in using AIMMS. |
|
Mode of delivery (face-to-face ; distance-learning) :
|
| |
|
Recommended or required readings :
|
| Documents that can be found on the virtual campus Lol@:
1. Syllabus:
The course notes and the PowerPoint presentations used during the lectures can be found on the virtual campus Lola@. The students are wanted to be in possession of these documents during the lectures.
2. Articles, book chapter, case studies |
|
Assessment methods and criteria :
|
| Written exam (~ 50%)
Oral presentations and/or group projects (~ 50%)
Individual assessment share : at least 50% |
|
Work placement(s) :
|
| |
|
Organizational remarks :
|
| The course is given during the second semester.
The course is given in English. |
|
Contacts :
|
| Lecturer:
Yasemin ARDA
(yasemin.arda@ulg.ac.be)
Assistant:
Guillaume AMAND
(guillaume.amand@ulg.ac.be) |
|
|
| |
