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...

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Main Authors: Tarigan Ukurta, Tarigan Uni Pratama P, Rifangi Akbar Rizky
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201819714004
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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
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