| dc.contributor.author | Bjark, WIlhelm | |
| dc.contributor.author | Hovind, Henrik Håseth | |
| dc.date.accessioned | 2023-10-11T13:43:14Z | |
| dc.date.available | 2023-10-11T13:43:14Z | |
| dc.date.issued | 2023 | |
| dc.identifier.uri | https://hdl.handle.net/11250/3095848 | |
| dc.description | Masteroppgave(MSc) in Master of Science in Business, Logistics, operations and supply chain management - Handelshøyskolen BI, 2023 | en_US |
| dc.description.abstract | The oil and gas industry is one of the most important industries in the world
due to its contribution towards the global economy and energy supply. Despite
the industry's challenges related to sustainability and the environment, its
historical importance and current energy demands makes it a critical part of the
global economy and energy landscape. In our paper, we have focused on
midstream companies operating in the oil and gas industry. They play a pivotal
role in transportation, storing, and processing oil and natural gas, as well as
forming a link between extraction and distribution.
Industry 4.0 has drastically changed how many industries operate by
integrating advanced technology and automation solutions in different
processes. These changes have made their way to the oil and gas industry and
are changing the way companies operate. Through previous literature and
interviews with industry representatives we have gathered relevant data with
the aim of identifying which IoT and data-driven solutions have contributed to
creating more optimized supply chain performance in the midstream oil and
gas industry | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Handelshøyskolen BI | en_US |
| dc.subject | logistics | en_US |
| dc.subject | supply chain management | en_US |
| dc.subject | logistikk | en_US |
| dc.subject | forsyningskjeder | en_US |
| dc.subject | ledelse | en_US |
| dc.title | Which IoT & data-driven solutions have contributed to optimizing supply chain performance for midstream oil and gas companies? | en_US |
| dc.type | Master thesis | en_US |
