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Sustainability Assessment for Semi-automated Solar Panels Production Facility

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dc.contributor.authorFawzi, Ahmed
dc.contributor.authorRamzy, Amna
dc.contributor.editorWohlgemuth, Volker
dc.contributor.editorKranzlmüller, Dieter
dc.contributor.editorHöb, Maximilian
dc.date.accessioned2023-12-15T09:22:24Z
dc.date.available2023-12-15T09:22:24Z
dc.date.issued2023
dc.description.abstractThis research work demonstrates the potential of material and energy flow analysis (MEFA) digital tool to address sustainability concerns in Semi-automated production lines in SMEs. The paper presents the application of MEFA on a solar panels’ assembly facility in the MENA region. The importance of thorough data collection is highlighted as it allows for accurate mapping of how materials and energy are flowing through a system especially in case of manual assembly lines. The challenges in data acquisition are addressed and the improvement scenarios are presented by using simple innovative methods such as QR codes to streamline the data collection process, saving time and reducing errors. Overall, this paper demonstrates how material and energy flow modelling can be used to identify areas for improvement in sustainability practices in small and medium enterprises using simple digital tools.en
dc.identifier.doi10.18420/env2023-018
dc.identifier.isbn978-3-88579-736-4
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43338
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofEnviroInfo 2023
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-342
dc.subjectsustainability
dc.subjectdigital tools
dc.subjectmaterial and energy flow analysis
dc.subjectsolar energy
dc.subjectMENA region.
dc.titleSustainability Assessment for Semi-automated Solar Panels Production Facilityen
dc.typeText/Conference Paper
gi.citation.endPage204
gi.citation.publisherPlaceBonn
gi.citation.startPage195
gi.conference.date11.-13. Oktober 2023
gi.conference.locationGarching, Germany
gi.conference.reviewfull
gi.conference.sessiontitleEnvironmental Impact Assessment and Optimization

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P342 - EnviroInfo 2023
Environmental Informatics 2023