Course title, code: Enterprise Resource Planning Systems 2, GAINBAN-VAINFRE2-2
Students get acquainted with enterprise planning and decision support, and with the role information systems play in them.
1. Business intelligence / business analytics. Descriptive, predictive, and prescriptive analytics. Tools and trends as reported by Gartner, Inc. 2. Quantitative methods. Operations research / management science 3. Decision support case studies. Mercedes assembly planning. 4. Grid maintenance planning at RTF (French electricity transmission network). Re-organization of the operation of Hongkong International Terminal. 5. AT&T telemarketing site selection. 6. Production-planning and delivery-quotation system at Harris Corporation. Procter & Gamble’s supply chain redesign. 7. Overview of the Odoo ERP system 8. Main modules of the Odoo ERP system 9. Odoo case studies 10. Analyzing and designing supply chains. Planning supply and demand. Inventory management. Transportation networks. 11. Managing the digital firm. Organizations, Management, and the Networked Enterprise. Building and managing information systems. 12-13. Tests.
Course content - labs:
Labs follow the material of lectures.
Knowledge:
- Knowledge of the principles and methods of natural sciences (mathematics, physics, other natural sciences) relevant to the field of IT.
- He/she uses the principles and methods of natural sciences (mathematics, physics, other natural sciences) relevant to the field of information technology in his/her engineering work for the design of information systems.
- He/she is able to develop enterprise information systems and implement previous developments.
He/she can apply his/her knowledge acquired during his/her study to acquire deeper knowledge in the field of information engineering and to process special literature and solve problems related to information technology.
- He/she cooperates with other computer science engineers, electrical engineers during team work, and with other experts during the analysis and solution of a problems.
- He/she is open to get to know other fields which employ information technology tools, and open to work out information technology soultions in cooperation with the experts of other areas.
- He/she reveals the weaknesses of the technologies applied, risks of processes and initiates measures which reduce them.
- Efficient use of digital technology, knowledge of digital solutions to fulfill educational objectives
Mid-term study requirements:
Active participation at lecture and laboratory classes. Students are expected to complete assignments and prepare presentations. 60 points can be obtained by completing assignments, and 30 points by a presentation. Students write an exam on the material of the lectures (10 points). Term mark is computed from the total points obtained.
Exam requirements:
Lecture slides, assignment descriptions, proposed topics for presentations will be available in Teams, together with the following introductory materials: AIMMS tutorial for Beginners, by J. Bisschop and K. Heerink ; AIMMS Optimization Modeling by J. Bisschop. At the lab sessions, all students can use separate, modern computer with internet access and the necessary software.
K.C. Laudon, J.P. Laudon: Management Information Systems: Managing the Digital Firm. 17th edition. Pearson, 2021. ISBN-13: 9780136971276. E.F. Monk, B.J. Wagner: Concepts in Enterprise Resource Planning. Cengage Learning, 2013. ISBN-13: 978-1-111-82039-8.
B.W. Wirtz: Digital Business Models. In the ’Progress in Information Systems’ series. Springer Nature Switzerland AG, 2019. ISBN 978-3-030-13004-6. S. Chopra, P. Meindl. Supply Chain Management. Pearson, 2013. ISBN: 9780132743952