Jan Ola Strandhagen

Professor

NTNU

Norway

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About

Jan Ola Strandhagen is a Professor at NTNU in Norway. His research focuses on autonomous mobile robots, smart production planning, and the integration of Industry 4.0 technologies in manufacturing. Recent publications discuss topics such as material handling systems, engineering change implementation, and the sustainability challenges within shipbuilding supply chains.

Articles (10)

Year:

2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

Year:

2022

Year:

2022

Collaborators (4)

Hans-Henrik Hvolby

Aalborg University

DENMARK

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Olumide Oluyisola

Norwegian University of Science and Technology

NORWAY

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Fabio Sgarbossa

Norwegian University of Science and Technology

NORWAY

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Anita Romsdal

Associate professor

Norwegian University of Science and Technology

NORWAY

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Jan Ola Strandhagen

Research Interests

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Contact this professor

About

Articles (10)

Autonomous mobile robots in sterile instrument logistics: an evaluation of the material handling system for a strategic fit framework

Some relationships between build strategy and shipbuilding time in European shipbuilding

Analyzing the factors affecting engineering change implementation performance in the engineer-to-order production environment: case studies from a Norwegian shipbuilding group

Comparing Offshore Support Vessel Production Times between Different Offshoring Strategies Practiced at Norwegian Shipyards

Decision support model for implementing assistive technologies in assembly activities: a case study

Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study

Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics

Investigating relationships between production transfer management and transfer success

Sustainability challenges and how Industry 4.0 technologies can address them: a case study of a shipbuilding supply chain

Towards smart production planning and control; a conceptual framework linking planning environment characteristics with the need for smart production planning and control

Collaborators (4)

Hans-Henrik Hvolby

Olumide Oluyisola

Fabio Sgarbossa

Anita Romsdal

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