Master Thesis: Utilizing causal machine learning in the aftermarket supply chain

Job description

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport solutions for the future? If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match.

 

Who We Are

 

Service Market Logistics (SML) is part of Group Trucks Operations (GTO). We are an organization of approximately 4,000 employees globally in more than 40 locations. Every day, we are delivering world-class operational excellence for our customers, based upon smart logistics solutions. Our job is to develop, manage and optimize the Service Market supply chain for all Volvo Group brands and JV’s. The scope for Service Market Logistics includes Flow Optimization, Inventory Management, Distribution Center operations, Customs & Trade, as well as the development of logistics solutions to ensure the highest possible parts availability, delivery precision and quality everywhere in the world. We strive for an innovative and diverse workplace, exercising the Volvo Group values with a high focus on customer success.

 

Supply Chain Optimization (SCO) is a global team of approximately 125 people within SML driving business performance in the area of service market logistics. We design the service market supply chain in terms of material planning and footprint. We enable customer success through an optimized supply chain from suppliers to customers - balancing service levels, tied-up capital and transport costs and performance.

Are you passionate about solving problems by leveraging data?  …and have fun along the way? Then come join our team for this excellent Master thesis opportunity.

 

What will you do

The Volvo Group service market operates within a complex network of distribution centers and dealers. Optimizing this network requires forecasting, optimization and decision-making while considering the complex effects that the different actors have on one another. You will explore how causal machine learning and inference can be used to improve the decisions made and help better understanding the key features within the supply chain planning.

 

Key Responsibilities:

·  Investigate how causal techniques can be used to improve supply chain planning and decision-making
·  Learn the causal connections within the supply chain and define use cases how they can be exploited for future value
·  Compile and present research findings and data-driven insights.

 

Expected Outcomes:

·  A collection of use cases for causal machine learning within the aftermarket supply chain
·  At least one model detailing how causal machine learning gives advantages over classical ML in the SML context
·  A detailed report outlining research, methodologies, findings, and recommendations regarding the use of causal methods in SML
·  Presenting the research and practical applications of the findings.

 

Who are you?

We are seeking motivated Master's students studying Data Science, Computer Science, Mathematics, Logistics, or other relevant fields, who are interested in contributing towards cutting-edge research and real-world applications.

 

Contact: Christian Beckers

Location:  Göteborg, SE, 417 15

Position Type:  Student

Last application date: 10th of November 2024.

 

We value your data privacy and therefore do not accept applications via mail.

 

Who we are and what we believe in

Our focus on Inclusion, Diversity, and Equity allows each of us the opportunity to bring our full authentic self to work and thrive by providing a safe and supportive environment, free of harassment and discrimination. We are committed to removing the barriers to entry, which is why we ask that even if you feel you may not meet every qualification on the job description, please apply and let us decide. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Applying to this thesis project offers you the opportunity to join Volvo Group. Every day, across the globe, our trucks, buses, engines, construction equipment, financial services, and solutions make modern life possible. We are almost 100,000 people empowered to shape the future landscape of efficient, safe and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents with sharp minds and passion across the group’s leading brands and entities.

 

Group Trucks Operations encompasses all production of the Group’s manufacturing of Volvo, Renault and Mack trucks, as well as engines and transmissions. We also orchestrate the spare parts distribution for Volvo Group’s customers globally and design, operate and optimize logistics and supply chains for all brands. We count 30,000 employees at 30 plants and 50 distribution centers across the globe. Our global footprint offers an opportunity for an international career in a state-of-the-art industrial environment, where continuous improvement is the foundation. As our planet is facing great challenges, we - one of the largest industrial organizations in the world - stand at the forefront of innovation. We are ready to rise to the challenge. Would you like to join us?

 

 

Job Category:  Supply Chain & Logistics

Organization:  Group Trucks Operations

Travel Required:  No Travel Required

Requisition ID:  14880