Upgrading the Resource Management Model for Anode Casting and Anode Ovens Delivery
Juhala, Juha (2026)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202603053777
https://urn.fi/URN:NBN:fi:amk-202603053777
Tiivistelmä
The objective of this thesis was to develop an upgraded resource management model for the case company’s anode casting and anode furnace deliveries. The study was motivated by challenges in finding and aligning the workforce. The increasing number of delivery projects with complexity of forecasting has been challenging. Timely assignment of capacity and skills is important. At the same time managing demographic changes in the workforce is targeted. Because of ageing workforce, effective human resource planning plays a critical role in ensuring safe, timely, and profitable project execution. The context of the thesis is electrical, instrumentation and automation resource management for anode casting shops and furnaces.
Thesis used applied action research approach. Qualitative research methods were combined with the elements of numerical calculations. Data collection was conducted in three rounds and included semi-structured interviews with managers, engineers, subcontracting partners, and other stakeholders, as well as thematic analysis of project documentation.
The theoretical framework of this study searched and used insights from human resource management best practice. Key frameworks such as PMBOK and agile management principles were used to boost optimization and workforce planning best practices. These insights helped to build, test, and validate the proposal.
The outcome of the thesis is a proposal for an upgraded resource management model improving roles, responsibilities, and workforce planning, knowledge transfer and better use of external partners. Proposed improvements should strengthen the long-term capacity for both project deliveries and product development.
Thesis used applied action research approach. Qualitative research methods were combined with the elements of numerical calculations. Data collection was conducted in three rounds and included semi-structured interviews with managers, engineers, subcontracting partners, and other stakeholders, as well as thematic analysis of project documentation.
The theoretical framework of this study searched and used insights from human resource management best practice. Key frameworks such as PMBOK and agile management principles were used to boost optimization and workforce planning best practices. These insights helped to build, test, and validate the proposal.
The outcome of the thesis is a proposal for an upgraded resource management model improving roles, responsibilities, and workforce planning, knowledge transfer and better use of external partners. Proposed improvements should strengthen the long-term capacity for both project deliveries and product development.