Artificial Intelligence as a Catalyst for Supply Chain Resilience: A Qualitative Study Comparing Scania and Volvo in the Construction Equipment Industry
2023 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE credits
Student thesis
Abstract [en]
Abstract
Date: 2023-05-30
Level: Master thesis in Business Administration, 15 cr
Institution: School of Business, Society and Engineering, Mälardalen University
Authors: Ramak Amyari Khamneh (84/01/29), Aymen Safi (00/03/27)
Title: Artificial Intelligence as a Catalyst for Supply Chain Resilience: A Qualitative Study Comparing Scania and Volvo in the Construction Equipment Industry
Supervisor: Emre Yildiz
Keywords: Artificial Intelligence (AI), Supply Chain Resilience, Construction Equipment Industry, Disruptions, Agility, Redundancy
Research question: How do Scania and Volvo interpret and implement Artificial Intelligence (AI) technologies to enhance supply chain resilience and mitigate disruptions in the construction equipment industry?
Purpose: The purpose of this master thesis is to investigate how Scania and Volvo interpret and implement AI technologies to enhance supply chain resilience and mitigate disruptions in the construction equipment industry.
Method: Qualitative
Conclusion: The conclusion of the master thesis is that Scania and Volvo have successfully implemented AI technologies to enhance supply chain resilience in the construction equipment industry, despite challenges, and see AI as a critical component for future supply chain strategies.
Place, publisher, year, edition, pages
2023. , p. 68
Keywords [en]
Artificial Intelligence (AI), Supply Chain Resilience, Construction Equipment Industry, Disruptions, Agility, Redundancy
National Category
Social Sciences Economics and Business Business Administration
Identifiers
URN: urn:nbn:se:mdh:diva-62755OAI: oai:DiVA.org:mdh-62755DiVA, id: diva2:1761055
Subject / course
Business Administration
Supervisors
Examiners
2023-06-142023-05-312025-10-10Bibliographically approved