Student Thesis Opportunity: Automation in Inbound Logistics

Job description

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure 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. 

 

 

Volvo Group’s global core plant for wheel loaders in Arvika is a versatile operation with about 900 employees who are manufacturing high tech machines that bring value to societies all over the world. We believe in a sustainable future and enjoy working with our customers to build the world we want to live in. We need dedicated and curious minds to help us improve and transform to be the best plant in the world.  

 

Follow our work @Volvo Construction Equipment in social media and learn more on our web: https://www.volvoce.com/global/en/this-is-volvo-ce/what-we-believe-in/building-tomorrow/  
Get a glimpse of the Arvika plant on Instagram:  https://www.instagram.com/p/BhQw5ywA-GG/  

 

Are you a student seeking an opportunity to make a meaningful impact on the future of supply chain management? We are looking for a motivated and detail-oriented student to support our efforts in exploring how automation, specifically through the application of RPA and AI technologies, can transform inbound logistics planning.  

 

The wheel loader produced in Arvika consists of more than 5,000 part numbers, which to some extent are handled manually by the department of Inbound Logistics. The work is time consuming and requires a lot of attention from every material controller at the department. We believe that in the future, some of these processes will be run automatically, enabling time for material controllers to focus more on strategic work towards suppliers. 

 

Thesis Focus: The aim of this thesis is to develop an automated system with RPA and/or AI and evaluate how automation can enhance operational efficiency in inbound logistics. The project will focus on streamlining repetitive, control-intensive tasks typically managed by material controllers. Additionally, the study will assess how automation enables material controllers to transition into more dynamic roles that emphasize strategic supplier relationship management, ultimately contributing to greater value creation within the supply chain.  

 

Key Objectives: 

· 
Evaluate current inbound logistics processes and identify areas suitable for automation 

· 
Ensure that automated processes maintain the high standards of supply reliability 

· 
Design an automated process and evaluate its potential within the department Inbound logistics using RPA and/or AI  

· 
Assess how AI technologies can complement RPA in automating inbound logistics processes, with a focus on improving the decision-making and enhancing the efficiency of material handling 

 

Who we’re looking for: 

· 
Currently pursuing a degree in Data Science, Supply Chain Management, Industrial Engineering, or a related field 

· 
Strong interest in automation, AI, and RPA technologies 

· 
Passion for developing human-centric and user friendly solutions 

 

What We Offer: 

· 
Gain practical insights into real-world obstacles in Inbound Logistics 

· 
Receive guidance from industry professionals to support your research 

· 
Contribute valuable findings that can influence future business practices 

· 
Work in a collaborative environment that encourages innovation and values your unique perspective 

 

We are looking for 1-2 students with knowledge and interest for supply chain management, RPA, AI and automation. You are probably taking a bachelor/master within Supply chain management, Industrial engineering, data science, or within another related field of study.  

During the time of your thesis, you are primarily located at our plant in Arvika, Värmland.  

The recruitment is continuing, and the positions can be taken before the application time has expired. 

 

Suitable Background: Supply Chain Management, Industrial Engineering, Data Science, or a related field. 

Thesis Level: Master 

Language: Swedish or English 

Starting Date: Early semester 2025 

Number of Students: 1-2 

For further information, please contact: Pawel Tokarczyk, Head of Inbound Logistics, +46 700034298, pawel.tokarczyk@volvo.com

 

Entity: Volvo Construction Equipment AB 

Location: Arvika, Sweden 

Business Category: Supply chain management, Logistics 

Last application date: 30th 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.

 

Applying to this job 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. 

 

Part of Volvo Group, Volvo Construction Equipment is a global company driven by our purpose to build the world we want to live in. Together we develop and deliver solutions for a cleaner, smarter, and more connected world. By unleashing everyone’s full potential, we build a more sustainable future for all our stakeholders. Come join our team and help us build a better tomorrow. 

Job Category:  Strategy & Business Development

Organization:  Volvo Construction Equipment

Travel Required:  No Travel Required

Requisition ID:  14671