Sökning: WFRF:(Rahman Hamidur) > (2022) > Artificial Intellig...
Fältnamn | Indikatorer | Metadata |
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000 | 04310naa a2200409 4500 | |
001 | oai:DiVA.org:liu-190750 | |
003 | SwePub | |
008 | 221227s2022 | |||||||||||000 ||eng| | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1907502 URI |
024 | 7 | a https://doi.org/10.1109/access.2022.32306372 DOI |
040 | a (SwePub)liu | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a for2 swepub-publicationtype |
100 | 1 | a Rahman, Hamiduru School of Innovation, Design and Engineering, Mälardalen University, Västerås, Sweden4 aut |
245 | 1 0 | a Artificial Intelligence-Based Life Cycle Engineering in Industrial Production :b A Systematic Literature Review |
264 | 1 | b Institute of Electrical and Electronics Engineers (IEEE),c 2022 |
338 | a electronic2 rdacarrier | |
500 | a Funding: Adapt 2030 (Adaptive lifecycle design by applying digitalization and AI techniques to production) (Grant Number: 2019-05589)10.13039/501100001858-VINNOVA, Sweden’s Innovation Agency | |
520 | a For the last few years, cases of applying articial intelligence (AI) to engineering activitiestowards sustainability have been reported. Life Cycle Engineering (LCE) provides a potential to systematicallyreach higher and productivity levels, owing to its holistic perspective and consideration of economic andenvironmental targets. To address the current gap to more systematic deployment of AI with LCE (AI-LCE)we have performed a systematic literature review emphasizing the three aspects:(1) the most prevalent AItechniques, (2) the current AI-improved LCE subelds and (3) the subelds with highly enhanced by AI.A specic set of inclusion and exclusion criteria were used to identify and select academic papers fromseveral elds, i.e. production, logistics, marketing and supply chain and after the selection process describedin the paper we ended up with 42 scientic papers. The study and analysis show that there are manyAI-LCE papers addressing Sustainable Development Goals mainly addressing: Industry, Innovation, andInfrastructure; Sustainable Cities and Communities; and Responsible Consumption and Production. Overall,the papers give a picture of diverse AI techniques used in LCE. Production design and Maintenance andRepair are the top explored LCE subelds whereas logistics and Procurement are the least explored subareas.Research in AI-LCE is concentrated in a few dominating countries and especially countries with a strongresearch funding and focus on Industry 4.0; Germany is standing out with numbers of publications. Thein-depth analysis of selected and relevant scientic papers are helpful in getting a more correct picture ofthe area which enables a more systematic approach to AI-LCE in the future. | |
650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Datorteknik0 (SwePub)102062 hsv//swe |
650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Computer Engineering0 (SwePub)102062 hsv//eng |
653 | a Articial intelligence | |
653 | a life cycle engineering | |
653 | a machine learning | |
653 | a sustainable development goal | |
700 | 1 | a D'Cruze, Ricky Stanleyu School of Innovation, Design and Engineering, Mälardalen University, Västerås, Sweden4 aut |
700 | 1 | a Ahmed, Mobyen Uddinu School of Innovation, Design and Engineering, Mälardalen University, Västerås, Sweden4 aut |
700 | 1 | a Sohlberg, Rickardu School of Innovation, Design and Engineering, Mälardalen University, Västerås, Sweden4 aut |
700 | 1 | a Sakao, Tomohiko,d 1969-u Linköpings universitet,Industriell miljöteknik,Tekniska fakulteten4 aut0 (Swepub:liu)tomsa86 |
700 | 1 | a Funk, Peteru School of Innovation, Design and Engineering, Mälardalen University, Västerås, Sweden4 aut |
710 | 2 | a School of Innovation, Design and Engineering, Mälardalen University, Västerås, Swedenb Industriell miljöteknik4 org |
773 | 0 | t IEEE Accessd : Institute of Electrical and Electronics Engineers (IEEE)g 10, s. 133001-133015q 10<133001-133015x 2169-3536 |
856 | 4 | u https://liu.diva-portal.org/smash/get/diva2:1722183/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-190750 |
856 | 4 8 | u https://doi.org/10.1109/access.2022.3230637 |
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