Duration
30h Th
Number of credits
Lecturer
Language(s) of instruction
English language
Organisation and examination
Teaching in the second semester
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
This course concentrates on mathematical programming models and techniques of production and inventory management that are designed to achieve greater operational efficiency both in industrial and service organizations. The course starts with tactical level decision-making problems and presents advanced models of aggregate production planning that are at the heart of sales and operations planning (S&OP) systems. The operational level lot-sizing problems, which are the core decision-making problems of all the material requirements planning (MRP) systems, are considered just after. At the very operational level, scheduling deals with the allocation of resources to tasks over given time periods with the goal of optimizing one or more objectives. Scheduling is a decision-making process that is used on a regular basis in many manufacturing and service industries. The course presents many structurally different scheduling problems and exact and heuristic solution methods for these problems. Moreover, individual and group projects aim to familiarize students with real-world operations planning problems. Students are wanted to implement mathematical programming techniques and to use a programming language for solving operational decision-making problems within those projects.
Learning outcomes of the learning unit
The learning objectives of the course are:
- To deepen knowledge in production and inventory management.
- To learn new models and techniques used to manage production and material flows.
- 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.
- To be able to make critical analysis of these different techniques.
- To understand the advantages and limitations of these kinds of approaches for real world applications.
- To understand the difficulties of treating real world data and managing real world production and material flow systems.
- To learn how to use a programming language to treat 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.
Prerequisite knowledge and skills
Basic concepts of supply chain management, production planing, and inventory management.
Planned learning activities and teaching methods
Lectures and discussions
Individuel and group projects: The group projects are treated in groups of two to three students.
Project working sessions: Those sessions are organized to familiarize students with the employed programming language and to guide them in their projects.
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Further information:
Students are wanted to participate in all the course sessions.
Course materials and recommended or required readings
Platform(s) used for course materials:
- LOL@
Further information:
Documents that can be found on the virtual campus LOla:
1. Syllabus: The course notes and the presentations used during the lectures can be found on the virtual campus LOla. Students are wanted to be in possession of these documents during the lectures.
2. Articles, book chapters, case studies.
Exam(s) in session
Any session
- In-person
written exam ( open-ended questions ) AND oral exam
Written work / report
Continuous assessment
Out-of-session test(s)
Further information:
Individual examination (~ 40%): A writen exam or an oral exam is organized depending on the number of students.
Individual and group projects (~ 60%): Students are evaluated based on their written reports, oral presentations, and the developed computer programs.
Each student has an opportunity to evaluate the contribution of his/her teammates to group projects during the semester by filling a peer evaluation. Taking these peer evaluations into account as well as the presence and the participation in class along the year, the lecturer may decide, by a justifiable opinion, to give different grades to students of a same team. Motivation must take into account criteria such as quality of work different from other team members, a greater or lesser involvement in the missions, attendance at the course sessions.
The above percentages also apply to the second session assessment. Please note that the individual and group projects are practical learning activities and are not subject to a second session evaluation. Thus, the project marks obtained in the first session are automatically considered when calculating the grade for the second session.
Work placement(s)
Organisational remarks and main changes to the course
The course is given during the second semester.
The course is given in English.
Contacts
Lecturer:
Yasemin ARDA (yasemin.arda@uliege.be)
Assistant:
Anisha MAHARANI (anisha.maharani@uliege.be)
Association of one or more MOOCs
Items online
Campus LOl@
LOl@