Electricity monitoring system with fuzzy multi-objective linear programming integrated in carbon footprint labeling system for manufacturing decision making

详细信息    查看全文

• 作者：Earl-Juei Wang^a ; ^{second@mail.npust.edu.tw" class="auth_mail" title="E-mail the corresponding author} ; ^{tina.wangs@msa.hinet.net" class="auth_mail" title="E-mail the corresponding author} ; Chun-Yu Lin^b ; ^{sam771116@hotmail.com" class="auth_mail" title="E-mail the corresponding author} ; Tai-Sheng Su^b ; ^{tyson@mail.npust.edu.tw" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Electricity monitoring systems ; Environmental regulations ; Cost-effectiveness ; FMOLP ; Carbon footprint label
• 刊名：Journal of Cleaner Production
• 出版年：2016
• 出版时间：20 January 2016
• 年：2016
• 卷：112
• 期：part_P5
• 页码：3935-3951
• 全文大小：1361 K

文摘

In the novel electricity monitoring system designed in this study, manufacturing data with energy consumption are transformed in real time in the communication module and analysis module and then sent to such information devices as notebooks, i-Pads, or i-Phones. A fuzzy multiple objective linear programming (FMOLP) model is formulated to integrate the designed system for making decision associated with about environmental regulations and cost-effectiveness of carbon emissions in manufacturing firms given a carbon footprint label (CFL). Implementation results demonstrate that the proposed system is very effective in terms of CFL, cost-effectiveness, and manufacturing capacity. Importantly, the electric monitoring system can be practically installed in specific equipment to acquire electric consumption in real time and then helped decision makers to achieve a satisfactory solution in which manufacturing costs and CFL are simultaneously considered under restrain of electricity uncertainty.