Data-driven sustainability evaluation of machining system: a case study
Improving resource efficiency and reducing waste discharge are the inevitable trends of the development of sustainable machining system. Therefore, a data-driven sustainability evaluation method of machining system is proposed. The input (energy, materials, equipment, R&D, and services) and outp...
Gespeichert in:
Veröffentlicht in: | International journal of advanced manufacturing technology 2021-11, Vol.117 (3-4), p.775-784 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 784 |
---|---|
container_issue | 3-4 |
container_start_page | 775 |
container_title | International journal of advanced manufacturing technology |
container_volume | 117 |
creator | Zhang, Cuixia Wang, Cui Liu, Conghu Zhu, Guang Li, Wenyi Gao, Mengdi |
description | Improving resource efficiency and reducing waste discharge are the inevitable trends of the development of sustainable machining system. Therefore, a data-driven sustainability evaluation method of machining system is proposed. The input (energy, materials, equipment, R&D, and services) and output (wastes and products) data of machining system are collected. These dimensional data are processed by emergy. The emergy flow calculation model of the machining process is established for data modeling, and the sustainability evaluation index of machining system is constructed for data analysis. Finally, an engine base machining process is taken as a case study for innovative practice, and the targeted process optimization is adopted based on its sustainability evaluation for innovative practice. The feasibility and effectiveness of the method are verified. This study provides theoretical and methodological support for promoting the sustainability of the manufacturing industry. |
doi_str_mv | 10.1007/s00170-021-07779-9 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2581106381</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2581106381</sourcerecordid><originalsourceid>FETCH-LOGICAL-c363t-2ab568faf8de91cf41458757ff0cec5b4bff0d4e0dbf718aa8acf747a2211baf3</originalsourceid><addsrcrecordid>eNp9kLFOwzAURS0EEqXwA0yWmA1-cRI7bKjQglSJBWbrxbGLqzYptlMpf08gSGxM7w7n3icdQq6B3wLn8i5yDpIzngHjUsqKVSdkBrkQTHAoTsmMZ6ViQpbqnFzEuB3xEko1I6tHTMia4I-2pbGPCX2Ltd_5NFB7xF2PyXct7Rzdo_nwrW83NA4x2f09RWowWhpT3wyX5MzhLtqr3zsn78unt8UzW7-uXhYPa2ZEKRLLsC5K5dCpxlZgXA55oWQhnePGmqLO6zE1ueVN7SQoRIXGyVxilgHU6MSc3Ey7h9B99jYmve360I4vdVYoAF4KBSOVTZQJXYzBOn0Ifo9h0MD1tzA9CdOjMP0jTFdjSUylOMLtxoa_6X9aX8Ipb10</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2581106381</pqid></control><display><type>article</type><title>Data-driven sustainability evaluation of machining system: a case study</title><source>SpringerLink Journals - AutoHoldings</source><creator>Zhang, Cuixia ; Wang, Cui ; Liu, Conghu ; Zhu, Guang ; Li, Wenyi ; Gao, Mengdi</creator><creatorcontrib>Zhang, Cuixia ; Wang, Cui ; Liu, Conghu ; Zhu, Guang ; Li, Wenyi ; Gao, Mengdi</creatorcontrib><description>Improving resource efficiency and reducing waste discharge are the inevitable trends of the development of sustainable machining system. Therefore, a data-driven sustainability evaluation method of machining system is proposed. The input (energy, materials, equipment, R&D, and services) and output (wastes and products) data of machining system are collected. These dimensional data are processed by emergy. The emergy flow calculation model of the machining process is established for data modeling, and the sustainability evaluation index of machining system is constructed for data analysis. Finally, an engine base machining process is taken as a case study for innovative practice, and the targeted process optimization is adopted based on its sustainability evaluation for innovative practice. The feasibility and effectiveness of the method are verified. This study provides theoretical and methodological support for promoting the sustainability of the manufacturing industry.</description><identifier>ISSN: 0268-3768</identifier><identifier>EISSN: 1433-3015</identifier><identifier>DOI: 10.1007/s00170-021-07779-9</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>CAE) and Design ; Case studies ; Computer-Aided Engineering (CAD ; Data analysis ; Emergy ; Engineering ; Industrial and Production Engineering ; Machining ; Manufacturing industry ; Mechanical Engineering ; Media Management ; Optimization ; Original Article ; Resource efficiency ; Sustainability ; Sustainable development</subject><ispartof>International journal of advanced manufacturing technology, 2021-11, Vol.117 (3-4), p.775-784</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c363t-2ab568faf8de91cf41458757ff0cec5b4bff0d4e0dbf718aa8acf747a2211baf3</citedby><cites>FETCH-LOGICAL-c363t-2ab568faf8de91cf41458757ff0cec5b4bff0d4e0dbf718aa8acf747a2211baf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00170-021-07779-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00170-021-07779-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Zhang, Cuixia</creatorcontrib><creatorcontrib>Wang, Cui</creatorcontrib><creatorcontrib>Liu, Conghu</creatorcontrib><creatorcontrib>Zhu, Guang</creatorcontrib><creatorcontrib>Li, Wenyi</creatorcontrib><creatorcontrib>Gao, Mengdi</creatorcontrib><title>Data-driven sustainability evaluation of machining system: a case study</title><title>International journal of advanced manufacturing technology</title><addtitle>Int J Adv Manuf Technol</addtitle><description>Improving resource efficiency and reducing waste discharge are the inevitable trends of the development of sustainable machining system. Therefore, a data-driven sustainability evaluation method of machining system is proposed. The input (energy, materials, equipment, R&D, and services) and output (wastes and products) data of machining system are collected. These dimensional data are processed by emergy. The emergy flow calculation model of the machining process is established for data modeling, and the sustainability evaluation index of machining system is constructed for data analysis. Finally, an engine base machining process is taken as a case study for innovative practice, and the targeted process optimization is adopted based on its sustainability evaluation for innovative practice. The feasibility and effectiveness of the method are verified. This study provides theoretical and methodological support for promoting the sustainability of the manufacturing industry.</description><subject>CAE) and Design</subject><subject>Case studies</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Data analysis</subject><subject>Emergy</subject><subject>Engineering</subject><subject>Industrial and Production Engineering</subject><subject>Machining</subject><subject>Manufacturing industry</subject><subject>Mechanical Engineering</subject><subject>Media Management</subject><subject>Optimization</subject><subject>Original Article</subject><subject>Resource efficiency</subject><subject>Sustainability</subject><subject>Sustainable development</subject><issn>0268-3768</issn><issn>1433-3015</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kLFOwzAURS0EEqXwA0yWmA1-cRI7bKjQglSJBWbrxbGLqzYptlMpf08gSGxM7w7n3icdQq6B3wLn8i5yDpIzngHjUsqKVSdkBrkQTHAoTsmMZ6ViQpbqnFzEuB3xEko1I6tHTMia4I-2pbGPCX2Ltd_5NFB7xF2PyXct7Rzdo_nwrW83NA4x2f09RWowWhpT3wyX5MzhLtqr3zsn78unt8UzW7-uXhYPa2ZEKRLLsC5K5dCpxlZgXA55oWQhnePGmqLO6zE1ueVN7SQoRIXGyVxilgHU6MSc3Ey7h9B99jYmve360I4vdVYoAF4KBSOVTZQJXYzBOn0Ifo9h0MD1tzA9CdOjMP0jTFdjSUylOMLtxoa_6X9aX8Ipb10</recordid><startdate>20211101</startdate><enddate>20211101</enddate><creator>Zhang, Cuixia</creator><creator>Wang, Cui</creator><creator>Liu, Conghu</creator><creator>Zhu, Guang</creator><creator>Li, Wenyi</creator><creator>Gao, Mengdi</creator><general>Springer London</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20211101</creationdate><title>Data-driven sustainability evaluation of machining system: a case study</title><author>Zhang, Cuixia ; Wang, Cui ; Liu, Conghu ; Zhu, Guang ; Li, Wenyi ; Gao, Mengdi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c363t-2ab568faf8de91cf41458757ff0cec5b4bff0d4e0dbf718aa8acf747a2211baf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>CAE) and Design</topic><topic>Case studies</topic><topic>Computer-Aided Engineering (CAD</topic><topic>Data analysis</topic><topic>Emergy</topic><topic>Engineering</topic><topic>Industrial and Production Engineering</topic><topic>Machining</topic><topic>Manufacturing industry</topic><topic>Mechanical Engineering</topic><topic>Media Management</topic><topic>Optimization</topic><topic>Original Article</topic><topic>Resource efficiency</topic><topic>Sustainability</topic><topic>Sustainable development</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Cuixia</creatorcontrib><creatorcontrib>Wang, Cui</creatorcontrib><creatorcontrib>Liu, Conghu</creatorcontrib><creatorcontrib>Zhu, Guang</creatorcontrib><creatorcontrib>Li, Wenyi</creatorcontrib><creatorcontrib>Gao, Mengdi</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>International journal of advanced manufacturing technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Cuixia</au><au>Wang, Cui</au><au>Liu, Conghu</au><au>Zhu, Guang</au><au>Li, Wenyi</au><au>Gao, Mengdi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Data-driven sustainability evaluation of machining system: a case study</atitle><jtitle>International journal of advanced manufacturing technology</jtitle><stitle>Int J Adv Manuf Technol</stitle><date>2021-11-01</date><risdate>2021</risdate><volume>117</volume><issue>3-4</issue><spage>775</spage><epage>784</epage><pages>775-784</pages><issn>0268-3768</issn><eissn>1433-3015</eissn><abstract>Improving resource efficiency and reducing waste discharge are the inevitable trends of the development of sustainable machining system. Therefore, a data-driven sustainability evaluation method of machining system is proposed. The input (energy, materials, equipment, R&D, and services) and output (wastes and products) data of machining system are collected. These dimensional data are processed by emergy. The emergy flow calculation model of the machining process is established for data modeling, and the sustainability evaluation index of machining system is constructed for data analysis. Finally, an engine base machining process is taken as a case study for innovative practice, and the targeted process optimization is adopted based on its sustainability evaluation for innovative practice. The feasibility and effectiveness of the method are verified. This study provides theoretical and methodological support for promoting the sustainability of the manufacturing industry.</abstract><cop>London</cop><pub>Springer London</pub><doi>10.1007/s00170-021-07779-9</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0268-3768 |
ispartof | International journal of advanced manufacturing technology, 2021-11, Vol.117 (3-4), p.775-784 |
issn | 0268-3768 1433-3015 |
language | eng |
recordid | cdi_proquest_journals_2581106381 |
source | SpringerLink Journals - AutoHoldings |
subjects | CAE) and Design Case studies Computer-Aided Engineering (CAD Data analysis Emergy Engineering Industrial and Production Engineering Machining Manufacturing industry Mechanical Engineering Media Management Optimization Original Article Resource efficiency Sustainability Sustainable development |
title | Data-driven sustainability evaluation of machining system: a case study |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T11%3A29%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Data-driven%20sustainability%20evaluation%20of%20machining%20system:%20a%20case%20study&rft.jtitle=International%20journal%20of%20advanced%20manufacturing%20technology&rft.au=Zhang,%20Cuixia&rft.date=2021-11-01&rft.volume=117&rft.issue=3-4&rft.spage=775&rft.epage=784&rft.pages=775-784&rft.issn=0268-3768&rft.eissn=1433-3015&rft_id=info:doi/10.1007/s00170-021-07779-9&rft_dat=%3Cproquest_cross%3E2581106381%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2581106381&rft_id=info:pmid/&rfr_iscdi=true |