master of science supply chain management and technology la salle campus barcelona

Master of Science in Supply Chain Management and Technology

Master the supply chain of the future with a comprehensive program that combines AI, global vision and leadership

Supply Chain Technology

Description: 

In this subject, concepts related to the digital supply chain and the technologies used in its development are taught.

To this end, content is worked on how to analyze and make the choice of support systems for the supply chain and the implementation of these systems in the company.

Likewise, the new existing technologies and possibilities of application to the supply chain are reviewed, so that it is more efficient: 3D Printing, Manufacturing 4.0, IoT, Blockchain, Digital Twins, Control Tower, RPA, as well as the implications that its application has for management. We will see the IA in the Digital Supply Chain.

Type Subject
Primer - Obligatoria
Semester
Second
Course
1
Credits
5.00
Previous Knowledge: 

No particular prior knowledge is required

Objectives: 

  • Train professionals with knowledge of the international environment, e-Logistics, information technologies applied to the supply chain, project management, and Lean Logistics.
  • Develop professionals capable of understanding the fundamental role that new technologies play in business innovation, in their supply chains, and in the development of logistics projects.
  • Develop professionals capable of analyzing, developing, and managing the supply chain as a competitive advantage for the company, leading the technological and operational changes required to achieve this.
  • Train professionals capable of developing with a cross-functional vision of the business, with the ability to organize, plan, and successfully manage supply chain projects in both B2B and B2C companies.

Contents: 

  • Digital Supply Chain
  • Selection of technological systems in the company
  • Implementation of systems in the company
  • Supply chain Business Intelligence: Cloud computing, Big Data Analytics
  • AI and Supply Chain
  • IoT and Blockchain
  • Robotic automation in the supply chain
  • RPA, Digital Twins and Digital Towers in the supply chain

Methodology: 

On-campus Methodology

The teaching methodology used in the on-campus modality is divided into four steps for each of the sessions that make up the subjects of the program:

  • Students must prepare at home the previous tasks of the session recommended by the teacher: reading an article, watching a video, solving a practical case or exercise, etc. In this way, the student prepares the topic of the session and acquires prior knowledge that will allow him to take better advantage of the session together with the teacher and the rest of the classmates.
  • The teacher dedicates the first part of the session to working on the concepts related to the theme of the day, encouraging debate and discussion among the students, taking advantage of the fact that they have prepared the previous tasks and are based on prior knowledge.
  • The teacher dedicates the second part of the session to the analysis, debate and resolution of the practical case or exercise proposed in the previous tasks. In this way, the concepts covered in the first part of the session are taken to a practical environment to strengthen the student's learning. It is essential that students work on the case or exercise at home to make the most of the contributions of the rest of their classmates during the second part of the session, as well as make valuable contributions to the group.
  • It is recommended that students prepare at home the subsequent tasks of the session recommended by the teacher, which aim to finish consolidating the knowledge discussed and worked on in class.

Online Guided Methodology

The teaching methodology used in the online modality is based on a proprietary methodology developed by La Salle URL called SDBL (Self Directed Based Learning). SDBL is an active methodology based on situational learning and self-directed learning.

With situational learning, the student is taught, through challenges, to address real problems and situations of the company with which he can consolidate the new knowledge acquired. 

Weekly, the LMS (Learning Management System) platform releases the content of a new topic.

The operation of the week is as follows: 

-Synchronous kick-off session:

  • The teacher makes an overview of the contents and tasks that the student will find throughout the week. The objective of this meeting is to try to discover and reveal on a personal level which aspects of the week that are going to be discussed may be more difficult for the individual student.
  • The professor solves possible doubts of the students about the subject of the previous week.

 -Among synchronous connections:

  • The students view session contents and develops the tasks entrusted to them about the topic of the week to consolidate knowledge and identify doubts.

 -Synchronous session Check point:

  • The professor solves any doubts that students may have about the contents of the current week.
  • The professor presents additional content or practical cases, which are interesting for the students.
  • The professor generates debate and discussion among the students about the content of the current week to help the students in their assimilation, therefore, improving their learning.
  • The professor provides oral feedback about the deliverables registered by the students in the feedback well of the previous week, emphasizing the difficulties and errors found. This instance is for feedback only and not for qualification. The feedback is an instrument so that the students to validate with the mentor, in general terms, the resolution to the proposed tasks. In this way, the feedback wells are created thinking of giving the students an opportunity to feel the answers with the mentor. Based on the feedback provided by the mentor, the students will be able to finish developing the task and present it as a final deliverable, with the advantage of having had prior advice from the professor.

 -Rest of the week:

The objective is to finish the development of the tasks of the current week from the clarifications received in the synchronous check point session to pass the exercises, tasks and / or deliverables of the topic. It is worth mentioning that most of the time spent during this last part of the week should be spent on solving tasks and deliverables, rather than assimilating content (an aspect that should have been resolved between the kick-off and check point sessions).

The LMS platform gradually opens content (week by week) so that the whole group follows the same academic itinerary. In other words, the sequential opening of topics is done so that all students in the program are working on the same subjects simultaneously.

Evaluation: 

Face-to-face modality

Highly significant evaluation activities:

  • Case of sessions 1, 2 and 3 [37.5 %]
  • Trdown group subject [72.5 %]

Online Guided Modality

The evaluation is carried out based on the resolution of 4 deliverables whose weighting is as follows:

  • Topic 1 Deliverable : 20%
  • Topic 2 Deliverable: 20%
  • Topic 3 Deliverable: 20%
  • Final deliverable of the subject: 40%

The grade is about 10 and is approved with a grade equal to or greater than 5 and it is necessary to pass each deliverable separately to pass the subject.

On the final deliverable, the teacher will have an interview with the student to ensure that the student has acquired the knowledge. If the student does not pass this interview, the subject will not be considered approved.

-Recovery period:

  • The works that have not been approved in the ordinary call must be submitted, in this case, the maximum grade is a 7.

-Copying Regulations: https://www.salleurl.edu/es/normativa-de-copias

Evaluation Criteria: 

Face-to-face modality

In the resolution of exercises and subject works the criteria to be taken into account are:

  • Understanding the situation posed
  • Definition and analysis of the problems raised by the case
    • Registration of the main topics
  • Proposed solutions
    • Realism and adequacy of the proposed solution(s)
    • Argumentation of defense of the same
    • Strengths and benefits of the proposal(s)
    • Implications of the proposal(s) (economic and management)

Online Guided Modality

  • Deliverables of each theme
  • Quote
  • Technology
  • Analysis
  • Design
  • Business decision
  • Conclusions

-Final deliverable:

  • Understanding the situation posed
  • Definition and analysis of the problems raised by the case
  • Registration of the main topics
  • Proposed solutions
  • Realism and adequacy of the proposed solution(s)
  • Argumentation of defense of the same
  • Strengths and benefits of the proposal(s)
  • Implications of the proposal(s) (economic and management)

Basic Bibliography: 

-The Road to a Digitalized Supply Chain Management. Thorsen Blecker. HICL. 2019.

-Digitalized Supply Chain. Gerardus Blokdyk. 2018

-Digital Supply Networks, Amit Sinha et al., McGraw Hill. 2020. ISBN 978-1-260-45819-0.

-Digital Twins and Cyber, Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison, Fei Tao et al., Engineering (Vol 5, Issue 4 Aug 2019) https://www.sciencedirect.com/science/article/pii/S209580991830612X.


-The Impact of Industry 4.0 Implementation on Supply Chain. Ghadge, Kara et al. Journal of Manufacturing Technology Management (January 2020) ISSN: 1741-038X.

-The Potential of RFID Technology on the Bullwhip Effect within the Automotive Industry. Lochan, University of Twente. The Netherlands (https://essay.utwente.nl/80405/1/Lochan_BA_BMS.pdf).

-The Impact of Digital Technologies on Operational Causes of The Bullwhip Effect Wiedemann, GröBler.

-A literature Review. 52nd CIRP Conference on Manufacturing Systems.

-How-to Guide: Increase Profitability by Reducing Non-Value Added work In Engineering, Boucher, (https://ifwe.3ds.com/sites/default/files/aero-scr-smart-tech-clarity-non...).

-How to succeed: Strategic Options for European Machinery, Varios Autores, publicado por VDMA en colaboración con McKinsey & Co.

-Digital Manufacturing for Spare Parts: Scenarios for the Automotive Supply Chain. Ryan, Eyers, Cardiff Business School, University of Cardiff, UK. 2017.

-AP Automation: The first finance process to automate in 2022 AI Multiple Research 2022. C. Dilmegani. Disponible en https://research.aimultiple.com/ap-automation/.


-Enterprise Chatbots: How To Use Chatbots in the Workplace, J. Mathenge, BMC Blogs 2021. Disponible en https://www.bmc.com/blogs/enterprise-chatbots/.


-Upgrading Blockchains: Smart Contract use cases in Industry. Ream, Chu, Schatsy. Deloitte University Press.Disponible en https://www2.deloitte.com/content/dam/insights/us/articles/using-blockch...

-Transforming enterprise and industry with 5G private networks, Dr Prakash Disponible en https://www.qualcomm.com/news/onq/2020/10/15/transforming-enterprise-and...

Additional Material: 

-How Walmart brought unprecedented transparency to the food supply chain with Hyperledger Fabric. Disponible en https://www.hyperledger.org/wp-content/uploads/2019/02/Hyperledger_CaseS...

-Otra documentación referente a TradeLens.

-Other links and documentation regarding Nike and it's digital strategy:

-Other documentation regarding Agile Methodology:

-Other documentation regarding cybersecurity and IoT: