dc.contributor.author | Kumar, Naveen | |
dc.contributor.author | Kumar, Jyoti | |
dc.date.accessioned | 2019-03-05T09:54:24Z | |
dc.date.available | 2019-03-05T09:54:24Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Kumar, N. & Kumar, J. (2019). Efficiency 4.0 for Industry 4.0. <em>Human Technology</em>, 15 (1), 55–78. <a href="https://doi.org/10.17011/ht/urn.201902201608">doi:10.17011/ht/urn.201902201608</a> | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/63027 | |
dc.description.abstract | Operators of cyber-physical production system (CPPS) will use handheld
interactive control panels for supervising production processes. These interactive and
handheld control panels will present numerous sensors data. Processing of such complex
data for task fulfilment in critical scenario will cause cognitive workload on operators.
The prevalent industry efficiency measures so far have focused on human physical
workload measures; the human cognitive load has not been considered in industrial
practices. Smart factories in the near future will begin to integrate intelligent machines
with complex communication network systems between human and machines. In this
paper, we argue that the changing industrial scenario requires developing new measures
of production efficiency. As a result, we propose a theoretical framework for a smart
factory efficiency measure as a function of the combined efficiencies of the human
cognitive system, smart machines, and their shared communication systems. | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.publisher | University of Jyväskylä | |
dc.relation.ispartofseries | Human Technology: An Interdisciplinary Journal on Humans in ICT Environments | |
dc.rights | CC BY-NC 4.0 | |
dc.subject.other | Industry 4.0 | |
dc.subject.other | HCI | |
dc.subject.other | human cognitive efficiency | |
dc.subject.other | production efficiency | |
dc.title | Efficiency 4.0 for Industry 4.0 | |
dc.type | journal article | |
dc.identifier.urn | URN:NBN:fi:jyu-201902201608 | |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | |
dc.identifier.doi | 10.17011/ht/urn.201902201608 | |
dc.date.updated | 2019-03-05T09:54:25Z | |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | |
dc.description.reviewstatus | peerReviewed | |
dc.format.pagerange | 55–78 | |
dc.relation.issn | 1795-6889 | |
dc.relation.numberinseries | 1 | |
dc.relation.volume | 15 | |
dc.type.version | publishedVersion | |
dc.rights.copyright | © 2019 Naveen Kumar & Jyoti Kumar, and the Open Science Centre, University of
Jyväskylä | |
dc.rights.accesslevel | openAccess | |
dc.type.publication | article | |
dc.format.content | fulltext | |
dc.rights.url | https://creativecommons.org/licenses/by-nc/4.0/ | |