Application of lean manufacturing method and BLOCPLAN algorithm for productivity improvement of a laundry soap bar production
The problem experienced by the manufacturing company that produces soap bars is the waste in its production process. The research objective is to reduce waste in the production process flow in terms of distance of displacement of the material nor heap of material of the production process of laundry...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2018-01-01
|
Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201819714004 |
id |
doaj-deb1fafeee31416584542b47dfa1d636 |
---|---|
record_format |
Article |
spelling |
doaj-deb1fafeee31416584542b47dfa1d6362021-02-02T07:19:04ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011971400410.1051/matecconf/201819714004matecconf_aasec2018_14004Application of lean manufacturing method and BLOCPLAN algorithm for productivity improvement of a laundry soap bar productionTarigan UkurtaTarigan Uni Pratama PRifangi Akbar RizkyThe problem experienced by the manufacturing company that produces soap bars is the waste in its production process. The research objective is to reduce waste in the production process flow in terms of distance of displacement of the material nor heap of material of the production process of laundry soap bars so it can increase the productivity. To solve the problem, implementation integration of lean manufacturing and BLOCPLAN algorithm is used. In the early stages, value-added activities and activities that are not value-added is identified through the depiction of value stream mapping, and value-added activities that are not reducible to the application of the principle of 5W and 1H. To get the total minimal distance to move materials, it is necessary to re-layout production facilities with BLOCPAN algorithm. Future state mapping is used to get an idea of the final result, in which all non-value added activities can be reduced, and the shorter lead time obtained in the production process. With the application of those two methods, process cycle efficiency is increased 33.62% resulting in increased productivity of the company amounted to 204 packs of soap bars each day.https://doi.org/10.1051/matecconf/201819714004 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tarigan Ukurta Tarigan Uni Pratama P Rifangi Akbar Rizky |
spellingShingle |
Tarigan Ukurta Tarigan Uni Pratama P Rifangi Akbar Rizky Application of lean manufacturing method and BLOCPLAN algorithm for productivity improvement of a laundry soap bar production MATEC Web of Conferences |
author_facet |
Tarigan Ukurta Tarigan Uni Pratama P Rifangi Akbar Rizky |
author_sort |
Tarigan Ukurta |
title |
Application of lean manufacturing method and BLOCPLAN algorithm for productivity improvement of a laundry soap bar production |
title_short |
Application of lean manufacturing method and BLOCPLAN algorithm for productivity improvement of a laundry soap bar production |
title_full |
Application of lean manufacturing method and BLOCPLAN algorithm for productivity improvement of a laundry soap bar production |
title_fullStr |
Application of lean manufacturing method and BLOCPLAN algorithm for productivity improvement of a laundry soap bar production |
title_full_unstemmed |
Application of lean manufacturing method and BLOCPLAN algorithm for productivity improvement of a laundry soap bar production |
title_sort |
application of lean manufacturing method and blocplan algorithm for productivity improvement of a laundry soap bar production |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2018-01-01 |
description |
The problem experienced by the manufacturing company that produces soap bars is the waste in its production process. The research objective is to reduce waste in the production process flow in terms of distance of displacement of the material nor heap of material of the production process of laundry soap bars so it can increase the productivity. To solve the problem, implementation integration of lean manufacturing and BLOCPLAN algorithm is used. In the early stages, value-added activities and activities that are not value-added is identified through the depiction of value stream mapping, and value-added activities that are not reducible to the application of the principle of 5W and 1H. To get the total minimal distance to move materials, it is necessary to re-layout production facilities with BLOCPAN algorithm. Future state mapping is used to get an idea of the final result, in which all non-value added activities can be reduced, and the shorter lead time obtained in the production process. With the application of those two methods, process cycle efficiency is increased 33.62% resulting in increased productivity of the company amounted to 204 packs of soap bars each day. |
url |
https://doi.org/10.1051/matecconf/201819714004 |
work_keys_str_mv |
AT tariganukurta applicationofleanmanufacturingmethodandblocplanalgorithmforproductivityimprovementofalaundrysoapbarproduction AT tariganunipratamap applicationofleanmanufacturingmethodandblocplanalgorithmforproductivityimprovementofalaundrysoapbarproduction AT rifangiakbarrizky applicationofleanmanufacturingmethodandblocplanalgorithmforproductivityimprovementofalaundrysoapbarproduction |
_version_ |
1724299718825082880 |