Industrial Internet of Things-based Smart Warehouse Management System

Khan, Natalia Batool

dc.contributor.advisor	Solvang, Wei Deng
dc.contributor.author	Khan, Natalia Batool
dc.date.accessioned	2025-04-29T12:00:35Z
dc.date.available	2025-04-29T12:00:35Z
dc.date.embargoEndDate	2030-05-08
dc.date.issued	2025-05-08
dc.description.abstract	Warehousing constitutes an important part of spare parts management in the oil and gas industry. During the past years, the introduction of Industry 4.0 has enabled several industries to introduce new technologies to their warehousing activities to optimize processes. Examples from industries such as e-commerce and retail have shown that Industry 4.0 technology implementation can lead to lower costs, decreased warehouse time expenditure, and minimized waste. It is of great interest for the oil and gas industry to investigate the possibilities of smart warehouse management implementation, as spare parts warehousing is a time consuming and expensive activity for the industry. However, as there are several aspects of oil and gas production that are unique to the industry, it is necessary to customize smart warehouse management system implementation to the industry to ensure success. This research addresses the implementation of a smart warehouse management system in spare parts warehousing in the oil and gas industry. Benefits and challenges of implementation have been established, computer simulations of a typical industry warehousing environment have been developed, and a customized system has been designed for spare parts supply to an oil production installation operated by Equinor in the Barents Sea. A specific focus is placed on the Industry 4.0-enabled technology Industrial Internet of Things (IIoT) to design an ideal spare parts management system. This is done to prove the importance of continuous interconnectivity in spare parts warehousing. Additionally, technologies such as robotics, additive manufacturing, big data, and cloud computing are included in the research. This research makes the following contributions: - Researching Industry 4.0 technologies in the very specific setting of spare parts warehousing in the oil and gas industry. - Suggesting technological components of a smart warehouse management system for efficient, sustainable, and cost-effective spare parts warehousing in the oil and gas industry. - Proposing an approach specific to the oil and gas industry, which can be built upon further to advance the field, industrially and academically.	en_US
dc.description.doctoraltype	ph.d.	en_US
dc.description.popularabstract	IIoT-based smart warehouse management system The project presents a conceptual smart warehouse management system with the groundbreaking IIoT technology as a foundation. The system is adapted to Equinor's new floating production vessel Johan Castberg. The system will contribute to streamlining and modernizing Equinor's warehouse functions for spare parts. The warehouse management system is realized through the implementation of several of the innovative technologies included in Industry 4.0. Industry 4.0 is the fourth industrial revolution and is characterized by the automation of industrial processes. In this project, the Industrial Internet of Things (IIoT) is particularly emphasized, as it can be considered the foundation of a modern and functional warehouse. IIoT is a network of physical objects, hence the word "things", equipped with sensors and software that connect them over the internet to obtain information. The project is realized through several steps: a literature study that creates a solid theoretical basis for the research; collection of data and information; virtual testing of a conceptual inventory management system; and a concrete conceptual proposal for a system. In addition to the research and analysis work itself, the research fellow has carried out relevant subjects at the academic institution and published several scientific articles to strengthen the academic quality of the research.	en_US
dc.description.sponsorship	- Norges Forskningsråd - Equinor ASA	en_US
dc.identifier.isbn	978-82-7823-266-8
dc.identifier.uri	https://hdl.handle.net/10037/36969
dc.language.iso	eng	en_US
dc.publisher	UiT Norges arktiske universitet	en_US
dc.publisher	UiT The Arctic University of Norway	en_US
dc.relation.haspart	<p>Paper 1: Khan, N., Solvang, W.D. & Yu, H. (2024). Industrial Internet of Things (IIoT) and Other Industry 4.0 Technologies in Spare Parts Warehousing in the Oil and Gas Industry: A Systematic Literature Review. <i>Logistics, 8</i>(1), 16. Also available in Munin at <a href=https://hdl.handle.net/10037/34321>https://hdl.handle.net/10037/34321</a>. <p>Paper 2: Khan, N., Solvang, W.D. & Yu, H. (2023). Customizing Smart Warehouse Management for Large Scale Production Industries. <i>2023 IEEE Conference on Technologies for Sustainability (SusTech), Portland, OR, USA</i>, pp. 199-204. Published version not available in Munin due to publisher’s restrictions. Published version available at <a href=https://doi.org/10.1109/SusTech57309.2023.10129595>https://doi.org/10.1109/SusTech57309.2023.10129595</a>. Accepted manuscript version available in Munin at <a href=https://hdl.handle.net/10037/32774>https://hdl.handle.net/10037/32774</a>. <p>Paper 3: Khan, N., Solvang, W.D., Yu, H. & Arnarson, H. (2024). Warehousing in the Context of Digital Supply Chain in the Oil and Gas Industry: Using Grounded Theory to Create Groundwork. In: Wang, Y., Yu, T. & Wang, K. (Eds), <i>Advanced Manufacturing and Automation XIII. IWAMA 2023. Lecture Notes in Electrical Engineering, 1154</i>, 120-127. Springer, Singapore. Also available at <a href=https://doi.org/10.1007/978-981-97-0665-5_16>https://doi.org/10.1007/978-981-97-0665-5_16</a>. Accepted manuscript version available in Munin at <a href=https://hdl.handle.net/10037/35838>https://hdl.handle.net/10037/35838</a>. <p>Paper 4: Khan, N., Solvang, W.D. & Yu, H. (2024). Warehousing in the Context of Digital Supply Chain in the Oil and Gas Industry: Towards Conceptualization and Groundwork. In: Wang, Y., Yu, T. & Wang, K. (Eds), <i>Advanced Manufacturing and Automation XIII. IWAMA 2023. Lecture Notes in Electrical Engineering, 1154</i>, 128-143. Springer, Singapore. Also available at <a href=https://doi.org/10.1007/978-981-97-0665-5_17>https://doi.org/10.1007/978-981-97-0665-5_17</a>. Accepted manuscript version available in Munin at <a href=https://hdl.handle.net/10037/35785>https://hdl.handle.net/10037/35785</a>. <p>Paper 5: Khan, N., Arnarson, H., Solvang, W.D. & Yu, H. (2024). Time Optimization of Warehouse Operations Through Industry 4.0 Technology Implementation: Case Study from a Spare Parts Warehouse in the Oil and Gas Industry. <i>IEEE/SICE International Symposium on System Integration (SII), Ha Long, Vietnam, 2024</i>, pp. 1018-1023. (Accepted manuscript version). Published version available at <a href=https://doi.org/10.1109/SII58957.2024.10417536>https://doi.org/10.1109/SII58957.2024.10417536</a>. Accepted manuscript version available in Munin at <a href=https://hdl.handle.net/10037/35839>https://hdl.handle.net/10037/35839</a>. <p>Paper 6: Khan, N., Solvang, W.D., Yu, H. & Rolland, B.E. (2024). Design of Smart Warehouse Management for Spare Parts Management for an Oil and Gas Production Company. <i>Frontiers in Sustainability, 5</i>, 1426089. Also available at <a href=https://doi.org/10.3389/frsus.2024.1426089>https://doi.org/10.3389/frsus.2024.1426089</a>.	en_US
dc.rights.accessRights	embargoedAccess	en_US
dc.rights.holder	Copyright 2025 The Author(s)
dc.rights.uri	https://creativecommons.org/licenses/by/4.0	en_US
dc.rights	Attribution 4.0 International (CC BY 4.0)	en_US
dc.subject	Industrial Internet of Things (IIoT)	en_US
dc.subject	Smart Warehouse Management (SWM)	en_US
dc.subject	Oil and Gas Industry	en_US
dc.subject	Industry 4.0	en_US
dc.subject	Spare Parts Management	en_US
dc.title	Industrial Internet of Things-based Smart Warehouse Management System	en_US
dc.type	Doctoral thesis	en_US
dc.type	Doktorgradsavhandling	en_US