This course provides an integrated, holistic approach to decision-making processes in logistics and includes both qualitative and rigorous mathematical treatment. It provides a comprehensive, model-based treatment of logistics processes and examines in depth every important part of the logistics system. Its purpose is to provide students with valuable insight and resources to be able to practically conduct but also to be able to improve the logistics operations. The students will after the course have the ability to seek, and find, the research front and to study the relevance of the theory and the problem formulations to practical situations in companies and organizations. - Finding sources of knowledge, perform source criticism and draw their own relevant conclusions. - Practice their communication, writing and presentation skills. (This course is a preparation for higher positions in planning, production, purchasing, decision-making in supply chain management.)

Modeling Languages and optimization solvers, Languages for Data Analysis, Algorithm and Problem Complexity, Advanced methods for demand forecasting, Location models and methods in logistics systems, Criteria for supplier selection, Design and management of facilities and warehouses, Advanced planning and management of freight transportation, Linking theory and practice, Special cases and themes in logistics (sustainable logistics, food logistics, disaster logistics, health care logistics, etc.), in decision-making and planning processes (multi-criteria optimization, goal programming, bi-level optimization, game theory, data envelopment analysis, big data analytics, and in computer tools (GIS, ERP, CRM, Point of Sale suits, etc.)

Lectures, advanced assignments, group work and compulsory seminars, and possibly guest lectures. The course includes business-related projects.

Oral and written presentation of the project work, and compulsory attendancy at seminar.

Students must register for the courses themselves, or contact ETS educational administration eduets@ltu.se, not later than three days after the quarter commences. Failure to do so can result in the place being lost. This rule also applies to students with a guaranteed place.

The course T7001N corresponds to course IET066.

Athanasios Migdalas

The course T7001N is equal to IET066

Basic book
Gianpaolo Ghiadi et al (2013) "Introduction to logistic system management," Wiley Series in Operations Research and Management Science, ISBN 978-1-119-944338-9

Supplementary Book
Michael Watson et al. (2013) "Supply chain network design: Applying Optimization and Analytics to the Global Supply Chain" Pearson Education Inc, ISBN-10:0-13-301737-0, ISBN-13:978-0-13-301737-3

Literature might be added.

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Department of Business Administration, Technology and Social Sciences

Study guidance for the course is to be found in our learning platform Canvas before the course starts. Students applying for single subject courses get more information in the Welcome letter. You will find the learning platform via My LTU.

The syllabus was established on February 28, 2007 and is valid from the autumn term 2007.

by Director of Undergraduate Studies Daniel Örtqvist, Department of Business Administration, Technology and Social Sciences 15 Feb 2017