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Development of A Dynamic Network DEA Model To Measure Production Line's Performance: A Conceptual Paper

Production line in manufacturing industry usually is made up of several processes and must go through performance measurement to determine whether they are efficient or inefficient. The extended Data Envelopment Analysis (DEA) which is the Network Data Envelopment Analysis (NDEA) is developed to loo...

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Main Authors: N. A. M. A., Zainal, Muhamad Arifpin, Mansor, S. N., M. Saffe
Format: Conference or Workshop Item
Language:English
Published: 2016
Subjects:
TP Chemical technology
Online Access:http://umpir.ump.edu.my/id/eprint/23187/1/Development%20Of%20A%20Dynamic%20Network%20Dea%20Model%20To%20Measure.pdf
http://umpir.ump.edu.my/id/eprint/23187/
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spelling my.ump.umpir.231872018-12-13T03:03:23Z http://umpir.ump.edu.my/id/eprint/23187/ Development of A Dynamic Network DEA Model To Measure Production Line's Performance: A Conceptual Paper N. A. M. A., Zainal Muhamad Arifpin, Mansor S. N., M. Saffe TP Chemical technology Production line in manufacturing industry usually is made up of several processes and must go through performance measurement to determine whether they are efficient or inefficient. The extended Data Envelopment Analysis (DEA) which is the Network Data Envelopment Analysis (NDEA) is developed to look inside the production line and find the source of inefficiency of each sub process. However, the model can only measure the efficiency of the production line for current time periods only without considering the past time periods and detect any changes of performances that might occur during the time periods. In this paper, we proposed a Dynamic Network DEA model that can be used to measure the performance of the same production line by taking into account any changes according to time. We treat these changes as a Decision Making Units (DMUs) which is the entity that are going to be measured. This dynamic network model only considered the data inputs from different time periods. Our goals of developing the DNDEA model on the production line are to identify the inputs and outputs required and to consider the relationship and connection between each of the processes in the production line and thus measure the performance of the entire production line. The expected outcome of this paper is to propose a conceptual model that can be used for performance measurement in manufacturing production line dynamically. 2016 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23187/1/Development%20Of%20A%20Dynamic%20Network%20Dea%20Model%20To%20Measure.pdf N. A. M. A., Zainal and Muhamad Arifpin, Mansor and S. N., M. Saffe (2016) Development of A Dynamic Network DEA Model To Measure Production Line's Performance: A Conceptual Paper. In: Second International Conference on Science, Engineering & Environment (SEE 2016), 21-23 November 2016 , Osaka City, Japan. pp. 1-6.. ISBN 978-4-9905958-7-6
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
N. A. M. A., Zainal
Muhamad Arifpin, Mansor
S. N., M. Saffe
Development of A Dynamic Network DEA Model To Measure Production Line's Performance: A Conceptual Paper
description Production line in manufacturing industry usually is made up of several processes and must go through performance measurement to determine whether they are efficient or inefficient. The extended Data Envelopment Analysis (DEA) which is the Network Data Envelopment Analysis (NDEA) is developed to look inside the production line and find the source of inefficiency of each sub process. However, the model can only measure the efficiency of the production line for current time periods only without considering the past time periods and detect any changes of performances that might occur during the time periods. In this paper, we proposed a Dynamic Network DEA model that can be used to measure the performance of the same production line by taking into account any changes according to time. We treat these changes as a Decision Making Units (DMUs) which is the entity that are going to be measured. This dynamic network model only considered the data inputs from different time periods. Our goals of developing the DNDEA model on the production line are to identify the inputs and outputs required and to consider the relationship and connection between each of the processes in the production line and thus measure the performance of the entire production line. The expected outcome of this paper is to propose a conceptual model that can be used for performance measurement in manufacturing production line dynamically.
format Conference or Workshop Item
author N. A. M. A., Zainal
Muhamad Arifpin, Mansor
S. N., M. Saffe
author_facet N. A. M. A., Zainal
Muhamad Arifpin, Mansor
S. N., M. Saffe
author_sort N. A. M. A., Zainal
title Development of A Dynamic Network DEA Model To Measure Production Line's Performance: A Conceptual Paper
title_short Development of A Dynamic Network DEA Model To Measure Production Line's Performance: A Conceptual Paper
title_full Development of A Dynamic Network DEA Model To Measure Production Line's Performance: A Conceptual Paper
title_fullStr Development of A Dynamic Network DEA Model To Measure Production Line's Performance: A Conceptual Paper
title_full_unstemmed Development of A Dynamic Network DEA Model To Measure Production Line's Performance: A Conceptual Paper
title_sort development of a dynamic network dea model to measure production line's performance: a conceptual paper
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/23187/1/Development%20Of%20A%20Dynamic%20Network%20Dea%20Model%20To%20Measure.pdf
http://umpir.ump.edu.my/id/eprint/23187/
_version_ 1643669540858494976
score 13.211869

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