A lean six sigma framework for identifying sources of waste in manufacturing sector in Indonesia

Manufacturing activities until the beginning of 2020 shows an increment and continue to grow at 210 trillion value or contributes 30.4 percent of Indonesia's investment. Therefore, manufacturing companies need to create an appropriate system to support demand in this sector. In this research, t...

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主要作者:	Kholil, Muhammad
格式:	Thesis
语言:	English English English
出版:	2022
主题:	TD Environmental technology Sanitary engineering
在线阅读:	http://eprints.uthm.edu.my/8446/1/24p%20MUHAMMAD%20KHOLIL.pdf http://eprints.uthm.edu.my/8446/2/MUHAMMAD%20KHOLIL%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8446/3/MUHAMMAD%20KHOLIL%20WATERMARK.pdf
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id	my-uthm-ep.8446
record_format	uketd_dc
spelling	my-uthm-ep.84462023-02-27T00:57:39Z A lean six sigma framework for identifying sources of waste in manufacturing sector in Indonesia 2022-07 Kholil, Muhammad TD Environmental technology. Sanitary engineering Manufacturing activities until the beginning of 2020 shows an increment and continue to grow at 210 trillion value or contributes 30.4 percent of Indonesia's investment. Therefore, manufacturing companies need to create an appropriate system to support demand in this sector. In this research, the define-measure-analysis-identify-control (DMAIC) model, value stream mapping (VSM), and value stream analysis tool (VALSAT) are integrated in conducting an in-depth analysis for identifying the sources of waste in 33 manufacturing companies around the Java Islands. There are three main wastes can be identified, namely, (i) defects, (ii) inappropriate processes, and (iii) waiting time. In order to minimize the waste, several solution steps for the root cause error were proposed. Based on man & material root cause error, an adequate training and education need to be provided to all employees in production and non-production. Based on method root cause error, it is necessary to regularly establish standard operating procedures with a clear work instruction, and followed by periodic procedure review. In this category, it is also suggested to develop a specific procedure for predictive and preventive maintenance of an engine factor. Based on environmental root cause error, the manufacturing company need to reinspect the condition of the work location and area to store raw materials and finished goods. In general, this research has provided a new perspective in realizing minimum waste practice in the manufacturing sector. 2022-07 Thesis http://eprints.uthm.edu.my/8446/ http://eprints.uthm.edu.my/8446/1/24p%20MUHAMMAD%20KHOLIL.pdf text en public http://eprints.uthm.edu.my/8446/2/MUHAMMAD%20KHOLIL%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/8446/3/MUHAMMAD%20KHOLIL%20WATERMARK.pdf text en validuser phd doctoral Universiti Tun Hussein Onn Malaysia Fakulti Kejuruteraan Mekanikal dan Pembuatan
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	TD Environmental technology Sanitary engineering
spellingShingle	TD Environmental technology Sanitary engineering Kholil, Muhammad A lean six sigma framework for identifying sources of waste in manufacturing sector in Indonesia
description	Manufacturing activities until the beginning of 2020 shows an increment and continue to grow at 210 trillion value or contributes 30.4 percent of Indonesia's investment. Therefore, manufacturing companies need to create an appropriate system to support demand in this sector. In this research, the define-measure-analysis-identify-control (DMAIC) model, value stream mapping (VSM), and value stream analysis tool (VALSAT) are integrated in conducting an in-depth analysis for identifying the sources of waste in 33 manufacturing companies around the Java Islands. There are three main wastes can be identified, namely, (i) defects, (ii) inappropriate processes, and (iii) waiting time. In order to minimize the waste, several solution steps for the root cause error were proposed. Based on man & material root cause error, an adequate training and education need to be provided to all employees in production and non-production. Based on method root cause error, it is necessary to regularly establish standard operating procedures with a clear work instruction, and followed by periodic procedure review. In this category, it is also suggested to develop a specific procedure for predictive and preventive maintenance of an engine factor. Based on environmental root cause error, the manufacturing company need to reinspect the condition of the work location and area to store raw materials and finished goods. In general, this research has provided a new perspective in realizing minimum waste practice in the manufacturing sector.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Kholil, Muhammad
author_facet	Kholil, Muhammad
author_sort	Kholil, Muhammad
title	A lean six sigma framework for identifying sources of waste in manufacturing sector in Indonesia
title_short	A lean six sigma framework for identifying sources of waste in manufacturing sector in Indonesia
title_full	A lean six sigma framework for identifying sources of waste in manufacturing sector in Indonesia
title_fullStr	A lean six sigma framework for identifying sources of waste in manufacturing sector in Indonesia
title_full_unstemmed	A lean six sigma framework for identifying sources of waste in manufacturing sector in Indonesia
title_sort	lean six sigma framework for identifying sources of waste in manufacturing sector in indonesia
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Fakulti Kejuruteraan Mekanikal dan Pembuatan
publishDate	2022
url	http://eprints.uthm.edu.my/8446/1/24p%20MUHAMMAD%20KHOLIL.pdf http://eprints.uthm.edu.my/8446/2/MUHAMMAD%20KHOLIL%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8446/3/MUHAMMAD%20KHOLIL%20WATERMARK.pdf
_version_	1776103347739164672

A lean six sigma framework for identifying sources of waste in manufacturing sector in Indonesia

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