Development of Two-Stage Network Data Envelopment Analysis (DEA) Model to Measure Production Line’s Performance: Combination of Automation and Labor

Nowadays, the growth of industry can be seen as a nature of the world. Each company race again each other to increase productivity to produce new, high quality and product that fulfil customer demand. One can achieve the Key Performance Indicator (KPI) or targeted goal but without considering the co...

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Main Authors:	N.A., Che Azhar, Muhamad Arifpin, Mansor, S. A., Rusdan, S. N., M. Saffe
Format:	Article
Language:	English
Published:	Penerbit Universiti Malaysia Pahang 2016
Subjects:	HD28 Management. Industrial Management
Online Access:	http://umpir.ump.edu.my/id/eprint/16170/ http://umpir.ump.edu.my/id/eprint/16170/ http://umpir.ump.edu.my/id/eprint/16170/1/ftek-2016-6.pdf

id	ump-16170
recordtype	eprints
spelling	ump-161702018-11-30T02:12:12Z http://umpir.ump.edu.my/id/eprint/16170/ Development of Two-Stage Network Data Envelopment Analysis (DEA) Model to Measure Production Line’s Performance: Combination of Automation and Labor N.A., Che Azhar Muhamad Arifpin, Mansor S. A., Rusdan S. N., M. Saffe HD28 Management. Industrial Management Nowadays, the growth of industry can be seen as a nature of the world. Each company race again each other to increase productivity to produce new, high quality and product that fulfil customer demand. One can achieve the Key Performance Indicator (KPI) or targeted goal but without considering the cost, manpower, time or others elements is inefficient toward productivity. Upgrade production line in manufacturing industry needs huge investment to come out with good performance. The company can receive Return of Investment (ROI) and save more money from paying labor salary and increase productivity. However, the company also may have the risk of losing their money from the investment done. In this research, we studied the effectiveness of production line that equipped with automation usage to determine the productivity and quality of the product produced. We apply Data Envelopment Analysis (DEA) to measure efficiencies of the production line where DEA is one of an excellent tool that can evaluate efficiencies and have been using widely in many sectors. The model that will be used in this study is Two-Stage Network DEA. As a case study, this research focuses on the production line that producing a product with a high and continues demand to observe how the investment on automation can give good return or otherwise. Penerbit Universiti Malaysia Pahang 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/16170/1/ftek-2016-6.pdf N.A., Che Azhar and Muhamad Arifpin, Mansor and S. A., Rusdan and S. N., M. Saffe (2016) Development of Two-Stage Network Data Envelopment Analysis (DEA) Model to Measure Production Line’s Performance: Combination of Automation and Labor. International Journal of Engineering Technology And Sciences (IJETS), 6 (1). pp. 37-43. ISSN 2289-697X http://ijets.ump.edu.my/images/archive/Vol6/6.pdf
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	HD28 Management. Industrial Management
spellingShingle	HD28 Management. Industrial Management N.A., Che Azhar Muhamad Arifpin, Mansor S. A., Rusdan S. N., M. Saffe Development of Two-Stage Network Data Envelopment Analysis (DEA) Model to Measure Production Line’s Performance: Combination of Automation and Labor
description	Nowadays, the growth of industry can be seen as a nature of the world. Each company race again each other to increase productivity to produce new, high quality and product that fulfil customer demand. One can achieve the Key Performance Indicator (KPI) or targeted goal but without considering the cost, manpower, time or others elements is inefficient toward productivity. Upgrade production line in manufacturing industry needs huge investment to come out with good performance. The company can receive Return of Investment (ROI) and save more money from paying labor salary and increase productivity. However, the company also may have the risk of losing their money from the investment done. In this research, we studied the effectiveness of production line that equipped with automation usage to determine the productivity and quality of the product produced. We apply Data Envelopment Analysis (DEA) to measure efficiencies of the production line where DEA is one of an excellent tool that can evaluate efficiencies and have been using widely in many sectors. The model that will be used in this study is Two-Stage Network DEA. As a case study, this research focuses on the production line that producing a product with a high and continues demand to observe how the investment on automation can give good return or otherwise.
format	Article
author	N.A., Che Azhar Muhamad Arifpin, Mansor S. A., Rusdan S. N., M. Saffe
author_facet	N.A., Che Azhar Muhamad Arifpin, Mansor S. A., Rusdan S. N., M. Saffe
author_sort	N.A., Che Azhar
title	Development of Two-Stage Network Data Envelopment Analysis (DEA) Model to Measure Production Line’s Performance: Combination of Automation and Labor
title_short	Development of Two-Stage Network Data Envelopment Analysis (DEA) Model to Measure Production Line’s Performance: Combination of Automation and Labor
title_full	Development of Two-Stage Network Data Envelopment Analysis (DEA) Model to Measure Production Line’s Performance: Combination of Automation and Labor
title_fullStr	Development of Two-Stage Network Data Envelopment Analysis (DEA) Model to Measure Production Line’s Performance: Combination of Automation and Labor
title_full_unstemmed	Development of Two-Stage Network Data Envelopment Analysis (DEA) Model to Measure Production Line’s Performance: Combination of Automation and Labor
title_sort	development of two-stage network data envelopment analysis (dea) model to measure production line’s performance: combination of automation and labor
publisher	Penerbit Universiti Malaysia Pahang
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/16170/ http://umpir.ump.edu.my/id/eprint/16170/ http://umpir.ump.edu.my/id/eprint/16170/1/ftek-2016-6.pdf
first_indexed	2023-09-18T22:21:36Z
last_indexed	2023-09-18T22:21:36Z
_version_	1777415693232242688

Development of Two-Stage Network Data Envelopment Analysis (DEA) Model to Measure Production Line’s Performance: Combination of Automation and Labor

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