|Teaching method||Contact hours|
|Course coordinator(s)||dr. A Kanellopoulos|
|Lecturer(s)||dr. A Kanellopoulos|
|Examiner(s)||dr. A Kanellopoulos|
Language of instruction:
ORL-20306 Decision Science 1; ORL-31806 Food Logistics Management and FPE-31806 Sustainability in Food Chains
Biobased Logistics (BBL) is a disciplinary course in the field of Operations Research and Management. The course aims to provide a good understanding of the biobased supply chain focusing on decision problems related to the logistical structure of the chain as a whole. The students are trained to recognize problems, conceptualize solutions and develop quantitative models to support decision making in the biobased supply chain.
The main managerial topics which are discussed are:
- network design and geographical allocation of processing steps: we discuss decisions related to where to produce, how to transport and where to process main biobased products and byproducts to maintain a sustainable production;
- assessment of sustainability: techniques and indicators that have been used to quantify the sustainability performance of the chain as a whole taking into account all three dimensions of sustainability (i.e. planet, people, profit) are discussed;
- closing loops in the biobased supply chain: possibilities and ways to close nutrient cycles and minimize inflows to the chain are explored.
The largest part of the course focuses on training students on Mixed Integer Linear Programming techniques that are used to solve problems in the biobased supply chain. We start by providing an overview of existing methods used in Operations Research to optimize decision-making in supply chains. MILP techniques that are useful to address questions of the biobased supply chain are introduced with lectures and small scale exercises adapted to the biobased supply chain context. We use computer practicals throughout the course to apply acquired knowledge and solve real life problems in the bio-refining sugar supply chain. The students have the opportunity to work intensively with cutting edge optimization software that is commonly used in the field of Operations Research.
After successful completion of this course students are expected to be able to:
- recognise situations where typical decision problems occur in biobased supply chains;
- understand important concepts of biobased logistics and mathematical programming;
- translate presented decision problems of the biobased supply chain into mathematical models;
- develop implementations of mathematical models with state of the art, design-oriented optimization software;
- solve implementations of mathematical models;
- interprete outcomes of mathematical models to support managerial decision-making in the biobased supply chain;
- design blueprints of alternative logistical structures of the biobased supply chain.
(i) tutorials, (ii) computer practicals, (iii) individual paper, (iv) group work and (v) self-study; in which a variety of relevant concepts and models are addressed.
- written exam with open questions;
- reporting on cases by groups.
Relative weights (± 75-80% vs 25-20%) will be announced in the course guide.
|Restricted Optional for:||MBS||Biobased Sciences||MSc||C: Biobased and Circular Economy||6AF|