Master thesis student AI-Assisted Requirements Management and Supplier Response Analysis
Heltid
Scania
30 hp, AI-Assisted Requirements Management and Supplier Response Analysis in Procurement Processes Introduction
Thesis work is an excellent way to get closer to Scania and build relationships for the future. Many of today's employees began their Scania career with their degree project. Are you a Master's student interested in generative AI, information modelling and business processes? We are looking for 1-2 Master's students to develop and evaluate a prototype for AI-assisted requirements management and supplier analysis in procurement processes. Background Our department develops test rigs for validating and testing various truck components. Together with other functions across the company, we procure CE-marked machines and equipment. To ensure compliance with legal requirements, safety standards, and internal regulations, every procurement must meet a comprehensive set of requirements supported by definitions, guidelines, and technical documentation. Managing a large and evolving requirements library is a significant challenge. Requirements must be continuously reviewed, updated, refined, and eventually retired. At the same time, each procurement project requires a tailored set of requirements that accurately reflects the specific needs of the solution being purchased. Today, much of this work is performed manually, making the process both time-consuming and difficult to maintain consistently. Objective The objective of this thesis is to develop and evaluate a prototype that combines Artificial Intelligence (AI) with structured information modelling to support and streamline the procurement process. The prototype should assist in several areas, including:
Thesis work is an excellent way to get closer to Scania and build relationships for the future. Many of today's employees began their Scania career with their degree project. Are you a Master's student interested in generative AI, information modelling and business processes? We are looking for 1-2 Master's students to develop and evaluate a prototype for AI-assisted requirements management and supplier analysis in procurement processes. Background Our department develops test rigs for validating and testing various truck components. Together with other functions across the company, we procure CE-marked machines and equipment. To ensure compliance with legal requirements, safety standards, and internal regulations, every procurement must meet a comprehensive set of requirements supported by definitions, guidelines, and technical documentation. Managing a large and evolving requirements library is a significant challenge. Requirements must be continuously reviewed, updated, refined, and eventually retired. At the same time, each procurement project requires a tailored set of requirements that accurately reflects the specific needs of the solution being purchased. Today, much of this work is performed manually, making the process both time-consuming and difficult to maintain consistently. Objective The objective of this thesis is to develop and evaluate a prototype that combines Artificial Intelligence (AI) with structured information modelling to support and streamline the procurement process. The prototype should assist in several areas, including:
- Management and maintenance of procurement requirements
- Selection of relevant requirements for a specific procurement case
- Analysis of supplier responses
- Preparation of documentation required for order placement
- 1-2 MSc students in Computational Science, Machine Learning, Artificial Intelligence or a master student with high interest/knowledge in AI modelling.
Den lediga tjänsten publicerades 2 dagar sedan