• Questions such as: “How can supply chain strategy and corporate strategy be aligned?” “What are the key elements that need to be aligned?” “What is known about these elements so far?” “What are current trends influencing these elements?”
• International literature review and review of grey literature (consultancy reports etc.)
• Overview and summary of literature and comparing them against latest trends to identify potential gaps
• Comparison of main elements/alignment parameters against prototype of supply chain management strategy assessment tool developed by BHC (Hassemer Consulting; non-disclosure agreement to be signed by student)
• Identification of similarities and differences, development of recommendations 

Contact: Prof. Dr. Lydia Bals

• Questions such as: “How to holistically integrate digitalization into supply chain management strategy?”
• International literature review and review of grey literature (consultancy reports etc.)
• Overview and summary of existing frameworks and comparing them against latest trends to identify potential gaps
• Comparison of synthesized framework against prototype of supply chain management strategy assessment tool developed by BHC (Hassemer Consulting; non-disclosure agreement to be signed by student)
• Identification of similarities and differences, development of recommendations 

Contact: Prof. Dr. Ulrich Berbner
 

• Defining both sustainable supply chains (Operations and Supply Chain Management literature) and sustainable value chains (International Business literature) 
• Comparing which elements/characteristics are the same, which differ
• Analyzing a case company/case companies or an industry to illustrate these similarities/differences
• Drawing conclusions for future research and practice

Contact: Prof. Dr. Lydia Bals

The Master's thesis is carried out in cooperation with Boehringer Ingelheim. The work is associated with employment at BI as a Master's student.

• Objective: The thesis aims to derive and systematize concrete measures to strengthen supply chain resilience in Boehringer Ingelheim's supply chain by increasing supply chain visibility.
• Research question: How can supply chain visibility in Boehringer Ingelheim's supply chain be increased in order to improve supply chain resilience?
  • What risks are there in the pharma supply chain and how can these be structured?
  • How can resilience be described in the context of the pharma supply chain using BI as an example?
  • Which measures lead to supply chain resilience in the given context?
  • What is supply chain visibility and how can supply chain visibility support the achievement of supply chain resilience in the pharma supply chain?
  • In which milestones and through which specific measures should SC visibility be strengthened at BI?

Contact: Prof. Dr. Ulrich Berbner

The Master's thesis is carried out in cooperation with Boehringer Ingelheim. The work is associated with an employment at BI as a Master's student.

• Objective: The aim of the thesis is to develop a concept for the use of generative AI in supply chain risk / continuity management at Boehringer Ingelheim.
• Research question: How can generative AI support decisions in supply chain risk and continuity management?
  • What is generative AI and how can it generally be used in a corporate context to support decision-making?
  • What tasks can supply chain risk and continuity management be structured into and how are these tasks connected?
  • How can generative AI support supply chain risk and continuity management in ...
  • collecting and processing information?
  • identifying and analyzing weak points?
  • the design of measures?
  • ... (possibly other tasks)
  • In which milestones and through which specific measures should Generative AI be used in BI?

Contact: Prof. Dr. Ulrich Berbner

Thesis in cooperation with Schott.

• Details please see: https://join.schott.com/job/Mainz-Abschlussarbeit-Purchasing-KI-Einsatz-im-Einkauf-%28mwd%29-RP/1066689501/
• Preferred start October / November 2024

Contact: Prof. Dr. Lydia Bals

• Definitions and summary of current literature on AI assistants and those in purchasing processes (based on scientific but also "grey literature" from consulting companies etc. due to the actuality of the topic) as well as competencies of buyers
• Analysis of the present coverage of purchasing processes
• What challenges can be found (categorised according to a framework tbd), e.g. according to conception, implementation and usage phase
• With a particular focus on (e.g.) the usage phase, which competences do buyers need here in particular?
• How can these competences be formulated/described in more detail?
• Which training options would be suitable? Why?

Contact: Prof. Dr. Lydia Bals

• Defining such technologies
• Summarizing the related reshoring literature
• Analyzing a case company/case companies or an industry
• Drawing conclusions for future research and practice

Contact: Prof. Dr. Lydia Bals
 

• Definitions and summary of current literature on circular sourcing and competences
• Analysis of essential circular sourcing processes 
• Combination of the processes with the necessary competences 
• How can these competences be formulated/described in more detail?
• Which training options would be suitable? Why?

Contact: Prof. Dr. Lydia Bals