Riskanalys av självkörande fordon i hamnområden : En kvalitativ studie för interna transporter av containrar

Detta är en Kandidat-uppsats från Mittuniversitetet/Institutionen för informationssystem och –teknologi

Sammanfattning: Today, companies face constant challenges, as the business must constantly be developed in order to compete. As new ports are being built in already existing ones, other opportunities are often made available to develop further and reduce costs and risks. Replacing some labour against automation is one of them. The study aims to ensure the risks of using selfdriving vehicles for the movement of containers in port areas. The work has been carried out at SCA in Tunadal for their new coming terminal. The aim of the study was to examine the risk associated with manpower versus self-driving vehicles exist. If, based on a safety aspect, it is profitable to go towards a more automated business. To carry out the study, documents have been collected describing the accidents in the port, two persons who are extra responsible for the accidents in the port have been interviewed and observations have been made to also see how the self-driving vehicle is to be applied to reality. When processing the data, THERP - Technique for human error rate prediction has been used for mapping the current situation. FMEA - failure mode and effects analysis and FTA - Fault tree analysis has been used to map the future situation with automation. The result shows that from a safety perspective, it is safest to use self-driving vehicles, as it is the human slips that represent the greatest risks in port areas.

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