Logistics cost risk management : Managing freight costs and supply chain disruptions in a technology industry company
Kantele, Sanna (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202505069257
https://urn.fi/URN:NBN:fi:amk-202505069257
Tiivistelmä
The aim of this thesis is to develop and improve logistics cost risk management in the management of freight costs and supply chain disruptions. The work focuses on how logistics costs can be managed and predicted in a changing operating environment.
The research focuses on the target organization's project logistics team, which is responsible for managing international freight transport and supply chain disruptions. The aim is to create practical measures that help the organization improve its logistics operations, manage costs and prepare for potential disruptions.
The thesis has been carried out as a qualitative study using participatory observation as a data collection method. The observation has been carried out as part of the team's daily activities in Espoo between November 2024 and April 2025.
In addition to developing operations, the work emphasizes observation and the importance of risk management as part of logistics cost management. The work also reviews proactive measures and various risk assessment models and the utilization of the present in supply chains.
Logistics cost risk management has been widely studied, particularly in the context of supply chain management and project logistics. Key areas of study include risk identification, assessment, and prevention-based strategies.
The thesis examines in more detail two risk management tools, failure mode and effects analysis (FMEA) and supply chain risk management (SCRM). These tools are used to conduct empirical research on the thesis.
The research focuses on the target organization's project logistics team, which is responsible for managing international freight transport and supply chain disruptions. The aim is to create practical measures that help the organization improve its logistics operations, manage costs and prepare for potential disruptions.
The thesis has been carried out as a qualitative study using participatory observation as a data collection method. The observation has been carried out as part of the team's daily activities in Espoo between November 2024 and April 2025.
In addition to developing operations, the work emphasizes observation and the importance of risk management as part of logistics cost management. The work also reviews proactive measures and various risk assessment models and the utilization of the present in supply chains.
Logistics cost risk management has been widely studied, particularly in the context of supply chain management and project logistics. Key areas of study include risk identification, assessment, and prevention-based strategies.
The thesis examines in more detail two risk management tools, failure mode and effects analysis (FMEA) and supply chain risk management (SCRM). These tools are used to conduct empirical research on the thesis.