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Clustering electricity consumption data to identify optimal electricity contracts
(2020)
This thesis is aimed to study development of electricity consumption trends, cluster historical consumption time series and aim to determine optimal price contract for both individual clusters and customers.
First main ...
Predicting lead times of purchase orders using gradient boosting machine
(2020)
A company can make more accurate predictions of its internal processes and sales lead
times when it has accurate predictions of the lead times of purchase orders. It results in more
efficient processes as well as improved ...
Servitization in Finnish manufacturing industry : a framework for transforming businesses
(2022)
This research studies the journey of manufacturing companies that are making a transition from being product-centric to offering a blend of product and services. Research in this domain is important because a practical ...
Optimizing IT financial management : analysis of cost categorization and reporting practices
(2023)
Digital technologies have transformed the business landscape, offering new avenues for companies to gain a competitive edge. However, managing the increasing costs associated with technology investments is crucial. This ...
Machine learning for B2B manufacturing price prediction
(2023)
The B2B industry encounters pricing challenges that usually require direct market research. However, real-time transactional data analysis can enhance business profitability by utilizing machine learning methods.
The ...