A Benchmark Based Low Carbon Performance Evaluation and Improvement Approach for Beverage Manufacturing

碩士 === 國立臺北科技大學 === 工業工程與管理系所 === 103 === Year by year the concentration of greenhouse gases keep going up to facilitate the global warming problem. To mitigate environmental impacts, low-carbon manufacturing has attracted much attention worldwide. Hence, this study applies the process map and data...

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Bibliographic Details
Main Authors: Chia-Hua Liu, 劉家樺
Other Authors: Zhen-Hua Che
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/4yfs99
Description
Summary:碩士 === 國立臺北科技大學 === 工業工程與管理系所 === 103 === Year by year the concentration of greenhouse gases keep going up to facilitate the global warming problem. To mitigate environmental impacts, low-carbon manufacturing has attracted much attention worldwide. Hence, this study applies the process map and data envelopment analysis to develop a benchmarking-based low carbon performance evaluation and improvement approach for beverage manufacturing. This research firstly uses the process map to illustrate the detail process and activities of beverage manufacturing. Next, this study analyzes the electricity consumption of each equipment to estimate the carbon emissions. Subsequently, the benchmarking based entire low-carbon performance evaluation model of beverage production lines to evaluate the entire low-carbon performance values of beverage production lines to find non-benchmarking beverage production lines. To improve the low-carbon performance of non-benchmarking beverage production lines, this research develops the low-carbon performance evaluation and improvement model of beverage manufacturing workstations to evaluate the low-carbon performance of each workstations for non-benchmarking beverage production lines to find then non-benchmarking low-carbon workstations and analyze the reduced quantities of the carbon footprint of each equipment of these workstations. Finally, this research uses ten beverage production lines as an example to explain and verify the practical values and contributions of the proposed methodology.