VGU RESEARCH REPOSITORY
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Title: | Implementation of strategies for improving resource-efficiency based on information extracting from electrical energy consumption of manufacturing equipment | Authors: | Bui Trung Hieu | Issue Date: | 2016 | Publisher: | Vietnamese-German University | Abstract: | Based on these challenges as mentioned above, the aim of this work is to develop a methodology for improving resource efficiency in manufacturing, which are easy to handle at shop floor level, improving transparency in energy use, and applicable for many existing manufacturing processes. The first part of the thesis will review manufacturing technologies and transfer line – a manufacturing system- in order to understand existing manufacturing techniques and components in modern manufacturing system. Then, a literature review about electrical equipment using Alternating Current (AC) and Direct Current (DC) electrical system will be conducted to have number of equipment that can be analyzed in the concept session. Next, the state of the art continues with analyzing current methods for measuring electrical power consumption in manufacturing systems. After that, sensor system for monitoring electrical energy is clearly mentioned in term of technical and economic aspects. At the end of this section, an approach will be selected among many methods for improving resource efficiency based on electrical energy in order to further develop the main concept of saving resource. In the concept part, different operating states in different manufacturing processes will be identified based on electrical consumption. The goal is to show the potential of using energy consumption for classifying operating states in existing manufacturing processes. Then, a methodology for improving resource efficiency will be developed based the analysis of four approaches in process-condition monitoring. As a part of the methodology, key performance indicators as decision support tools are then formulated in order to saving resources relating to quality, maintenance, production planning and scheduling. Afterward, four implementation cases will be carried out in order to show how to apply the methodology for extracting valuable indicators from electrical power consumption. Finally, the results will be summarized and future work will be provided. |
URI(1): | http://epub.vgu.edu.vn/handle/dlibvgu/776 |
Appears in Collections: | Global Production Engineering & Management (GPEM) |
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