Academic theses

Table of contents


Ongoing Warehouse likes to host students in e.g. Computer Science programs who wish to write a Bachelor's or Master's thesis related to warehouse optimization, or a similar subject. If you are a student who wish to write your thesis at our company, please contact us.


These are the theses which have been written at Ongoing Warehouse so far.

Ordersystem integrerat med affärssystem och lagersystem (2010)

Ordersystem integrerat med affärssystem och lagersystem by Mattias Lögdberg (Chalmers University of Technology).

Integration between existing systems and dissemination of information from systems to users and groups has in recent years increased importance. Integration between systems may mean that instead of creating a new system the company / organization can use the best systems in each area and link these systems together. This project will handle integration between two existing system and a new created system. Main purpose is to remove the need of having email and telephone contact with the customer at every creation of order or question about the stock. The existing system is Visma SPCS and Ongoing Warehouse these two systems have their own interfaces for making integration and that will be used in this project. The system that is created is an order handling system for information spreading and giving the customers possibility to create the orders and at any giving time se how the stock is. The plan was to build two highly intuitive systems that could easily be used without too much time used to learn it. The system that was built for integration with Visma was a very successful system in this area. The customer thought the system was very easy to understand and use. The order handling system however failed on this area when it came to presenting deliveries, at the site the presentation is to show all deliveries in their own list, this where not easy to understand and a lot of questions about the deliveries came up.

Walk less, pick more: choosing optimal batches of orders in a warehouse (2020)

Walk less, pick more: choosing optimal batches of orders in a warehouse by Martin Sigvardsson and Christian Persson (Chalmers University of Technology).

Most warehouses employ a picker-to-parts strategy, where humans (termed pickers) traverse the warehouse to collect items. It is common for pickers to collect items for several orders at once. Such a set of orders is called a batch. Two optimization problems arise from this strategy. The picker routing problem refers to finding routes through the warehouse to minimize the distance traveled. The batching problem refers to selecting a combination of orders that minimizes the distance traveled. These problems are the focus of this thesis. To solve the optimization problems in the context of a real-world warehouse, a graph model representing a warehouse was created. In addition, a model was created for representing orders and batches as sets of nodes in such a graph. Additionally, a collection of algorithms was designed to solve the optimization problems. The models and the algorithms were implemented in code in the form of a library for the C# programming language. The library is accompanied by a suite of tests to help verify the correctness of the implementations. Furthermore, a suite of benchmarks was created based on real-world warehouse data supplied by the company Ongoing Warehouse. These benchmarks were used to evaluate the models and algorithms in terms of quality and runtime. Based on the evaluation, a recommendation was presented to Ongoing Warehouse of algorithms to use for integration into their warehouse management system.