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/ http://umpir.ump.edu.my/id/eprint/23187/1/Development%20Of%20A%20Dynamic%20Network%20Dea%20Model%20To%20Measure.pdf

id	ump-23187
recordtype	eprints
spelling	ump-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
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
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/ http://umpir.ump.edu.my/id/eprint/23187/1/Development%20Of%20A%20Dynamic%20Network%20Dea%20Model%20To%20Measure.pdf
first_indexed	2023-09-18T22:34:38Z
last_indexed	2023-09-18T22:34:38Z
_version_	1777416513467187200

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

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