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dc.contributor.authorPeron, Mirco
dc.contributor.authorFragapane, Giuseppe
dc.contributor.authorSgarbossa, Fabio
dc.contributor.authorKay, Michael
dc.date.accessioned2020-04-22T16:23:19Z
dc.date.available2020-04-22T16:23:19Z
dc.date.created2020-04-21T11:52:13Z
dc.date.issued2020
dc.identifier.issn2071-1050
dc.identifier.urihttps://hdl.handle.net/11250/2652153
dc.description.abstractIn recent years, companies have increased their focus on sustainability to achieve environmental-friendly improvements, to manage pressures from society and regulations, and to attract customers that appreciate sustainability efforts. While companies have mainly aimed short-term/operational improvements, long-term improvements are difficult to reach. One of the fundamental, strategical decision-making processes for a company is facility layout planning. The layout of a facility can have a significant impact on daily operations. Aiming for the goal of sustainability, a dynamic layout decision-making process can support in achieving it. However, the technologies used currently enable only the design of a static layout due to the time-consuming operations involved. In this paper, the introduction of emerging technologies such as 3D mapping, Indoor Positioning System (IPS), Motion Capture System (MoCap), and Immersive Reality (IR) for dynamic layout planning are assessed and discussed. The results obtained clearly demonstrate that the usage of these technologies favor a reconfigurable layout, positively affecting all the three pillars constituting the sustainability concept: the costs involved are reduced, social aspects are improved, and the environment is safeguarded.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleDigital Facility Layout Planningen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.journalSustainabilityen_US
dc.identifier.doi10.3390/su12083349
dc.identifier.cristin1807284
dc.description.localcode© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
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