Energy metrics for product assembly equipment and processes
A key factor deciding the capacity to increase the sustainability of final products is the energy efficiency. The energy embodied in a product is an aggregation of all of the energy embodied in the products' components and subsystems, expended through its manufacturing processes and logistical...
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Veröffentlicht in: | Journal of cleaner production 2014-02, Vol.65, p.142-151 |
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creator | Feng, Shaw C. Senthilkumaran, Kumaraguru Brown, Christopher U. Kulvatunyou, Boonserm |
description | A key factor deciding the capacity to increase the sustainability of final products is the energy efficiency. The energy embodied in a product is an aggregation of all of the energy embodied in the products' components and subsystems, expended through its manufacturing processes and logistical activities. Currently, accurate estimation of this energy metric is hindered due to the unavailability of energy use data traceable to individual processes and equipment associated with the product's assembly. In this paper, we propose using minimally-required energy to compute energy efficiency of a product assembly process. Based on the proposed approach, efficiency metrics established on the process, product, material and equipment characteristics have been presented at the assembly activity and equipment level. A case study has been presented for a hybrid laser welding process to demonstrate the computational methods used to arrive at these efficiency metrics. Major contributions of this paper are the metrics development and exemplifying the metrics through an actual assembly process (hybrid laser welding) case study. We will explain how these metrics can provide industries with a capability to identify opportunities to improve their sustainability performance across their assembly processes.
•Metrics development and exemplifying the metrics through an assembly process.•Efficiency metrics on the process, product, material and equipment characteristics.•Computational theoretical minima to identify energy saving opportunities.•Sustainability performance improvement across the assembly processes. |
doi_str_mv | 10.1016/j.jclepro.2013.09.044 |
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•Metrics development and exemplifying the metrics through an assembly process.•Efficiency metrics on the process, product, material and equipment characteristics.•Computational theoretical minima to identify energy saving opportunities.•Sustainability performance improvement across the assembly processes.</description><identifier>ISSN: 0959-6526</identifier><identifier>EISSN: 1879-1786</identifier><identifier>DOI: 10.1016/j.jclepro.2013.09.044</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Animal, plant and microbial ecology ; Applied ecology ; Applied sciences ; Assembly equipment ; Assembly process ; Biological and medical sciences ; Conservation, protection and management of environment and wildlife ; Energy metrics ; Environment and sustainable development ; Exact sciences and technology ; Fundamental and applied biological sciences. Psychology ; Pollution ; Sustainability measurement ; Sustainable manufacturing</subject><ispartof>Journal of cleaner production, 2014-02, Vol.65, p.142-151</ispartof><rights>2013</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-c3ca65799554bf1ae889cfb1b93eca1eb64584005ea36bcbfc13f47f606940c73</citedby><cites>FETCH-LOGICAL-c372t-c3ca65799554bf1ae889cfb1b93eca1eb64584005ea36bcbfc13f47f606940c73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jclepro.2013.09.044$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>315,781,785,3551,27929,27930,46000</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28327969$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Feng, Shaw C.</creatorcontrib><creatorcontrib>Senthilkumaran, Kumaraguru</creatorcontrib><creatorcontrib>Brown, Christopher U.</creatorcontrib><creatorcontrib>Kulvatunyou, Boonserm</creatorcontrib><title>Energy metrics for product assembly equipment and processes</title><title>Journal of cleaner production</title><description>A key factor deciding the capacity to increase the sustainability of final products is the energy efficiency. The energy embodied in a product is an aggregation of all of the energy embodied in the products' components and subsystems, expended through its manufacturing processes and logistical activities. Currently, accurate estimation of this energy metric is hindered due to the unavailability of energy use data traceable to individual processes and equipment associated with the product's assembly. In this paper, we propose using minimally-required energy to compute energy efficiency of a product assembly process. Based on the proposed approach, efficiency metrics established on the process, product, material and equipment characteristics have been presented at the assembly activity and equipment level. A case study has been presented for a hybrid laser welding process to demonstrate the computational methods used to arrive at these efficiency metrics. Major contributions of this paper are the metrics development and exemplifying the metrics through an actual assembly process (hybrid laser welding) case study. We will explain how these metrics can provide industries with a capability to identify opportunities to improve their sustainability performance across their assembly processes.
•Metrics development and exemplifying the metrics through an assembly process.•Efficiency metrics on the process, product, material and equipment characteristics.•Computational theoretical minima to identify energy saving opportunities.•Sustainability performance improvement across the assembly processes.</description><subject>Animal, plant and microbial ecology</subject><subject>Applied ecology</subject><subject>Applied sciences</subject><subject>Assembly equipment</subject><subject>Assembly process</subject><subject>Biological and medical sciences</subject><subject>Conservation, protection and management of environment and wildlife</subject><subject>Energy metrics</subject><subject>Environment and sustainable development</subject><subject>Exact sciences and technology</subject><subject>Fundamental and applied biological sciences. 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Psychology</topic><topic>Pollution</topic><topic>Sustainability measurement</topic><topic>Sustainable manufacturing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Feng, Shaw C.</creatorcontrib><creatorcontrib>Senthilkumaran, Kumaraguru</creatorcontrib><creatorcontrib>Brown, Christopher U.</creatorcontrib><creatorcontrib>Kulvatunyou, Boonserm</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><jtitle>Journal of cleaner production</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Feng, Shaw C.</au><au>Senthilkumaran, Kumaraguru</au><au>Brown, Christopher U.</au><au>Kulvatunyou, Boonserm</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Energy metrics for product assembly equipment and processes</atitle><jtitle>Journal of cleaner production</jtitle><date>2014-02-15</date><risdate>2014</risdate><volume>65</volume><spage>142</spage><epage>151</epage><pages>142-151</pages><issn>0959-6526</issn><eissn>1879-1786</eissn><abstract>A key factor deciding the capacity to increase the sustainability of final products is the energy efficiency. The energy embodied in a product is an aggregation of all of the energy embodied in the products' components and subsystems, expended through its manufacturing processes and logistical activities. Currently, accurate estimation of this energy metric is hindered due to the unavailability of energy use data traceable to individual processes and equipment associated with the product's assembly. In this paper, we propose using minimally-required energy to compute energy efficiency of a product assembly process. Based on the proposed approach, efficiency metrics established on the process, product, material and equipment characteristics have been presented at the assembly activity and equipment level. A case study has been presented for a hybrid laser welding process to demonstrate the computational methods used to arrive at these efficiency metrics. Major contributions of this paper are the metrics development and exemplifying the metrics through an actual assembly process (hybrid laser welding) case study. We will explain how these metrics can provide industries with a capability to identify opportunities to improve their sustainability performance across their assembly processes.
•Metrics development and exemplifying the metrics through an assembly process.•Efficiency metrics on the process, product, material and equipment characteristics.•Computational theoretical minima to identify energy saving opportunities.•Sustainability performance improvement across the assembly processes.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.jclepro.2013.09.044</doi><tpages>10</tpages></addata></record> |
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subjects | Animal, plant and microbial ecology Applied ecology Applied sciences Assembly equipment Assembly process Biological and medical sciences Conservation, protection and management of environment and wildlife Energy metrics Environment and sustainable development Exact sciences and technology Fundamental and applied biological sciences. Psychology Pollution Sustainability measurement Sustainable manufacturing |
title | Energy metrics for product assembly equipment and processes |
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