NDLI: Performance assessment of decision-making units using an adaptive neural network algorithm: one period case

Content Provider	Springer Nature Link
Author	Anvari, Mona Saidi Mehrabad, Mohammad Azadeh, Ali Saberi, Morteza
Copyright Year	2009
Abstract	This study proposes a nonparametric method based on adaptive neural network (ANN) technique for measuring efficiency of decision making units (DMUs) in one period case as a complementary tool for the ANN-based efficiency methods in the previous studies. In previous studies, there are needed to have large volume of data, and so the proposed method in this study is more applicable because it can be used for the cases which have no historical data. In fact, a limitative weakness of the ANN-based efficiency methods about applying them for these cases is removed. So, it can be a competitive method to the other common tools for measuring efficiency. By noting the importance of flexible manufacturing system, this study presents a decision-making model for optimization of operators’ allocation in cellular manufacturing system by computer simulation. The methodology is illustrated through its application on a previously reported dataset. It was found out that ANN provides more robust results and identifies more efficient units than the conventional methods since better performance patterns are explored.
Starting Page	1059
Ending Page	1069
Page Count	11
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	46
Issue Number	9-12
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2009-06-25
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Performance assessment Neural network Simulation Operator allocation CMS Computer-Aided Engineering (CAD, CAE) and Design Mechanical Engineering Production/Logistics Industrial and Production Engineering
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

An integrated artificial neural network-genetic algorithm clustering ensemble for performance assessment of decision making units

A multi-objective decision-making process of supplier selection and order allocation for multi-period scheduling in an electronic market

An integrated fuzzy DEA–fuzzy C-means–simulation for optimization of operator allocation in cellular manufacturing systems

Operator allocation in cellular manufacturing systems by integrated genetic algorithm and fuzzy data envelopment analysis

An integrated decision support system for performance assessment and optimization of decision-making units

An application of possibilistic programming to the fuzzy location–allocation problems

Using neural network and decision tree for machine reliability prediction

Production planning: a DEA-based approach

A neural network solution for LOM process performance

Performance assessment of decision-making units using an adaptive neural network algorithm: one period case

Similar Documents

An integrated artificial neural network-genetic algorithm clustering ensemble for performance assessment of decision making units

A multi-objective decision-making process of supplier selection and order allocation for multi-period scheduling in an electronic market

An integrated fuzzy DEA–fuzzy C-means–simulation for optimization of operator allocation in cellular manufacturing systems

Operator allocation in cellular manufacturing systems by integrated genetic algorithm and fuzzy data envelopment analysis

An integrated decision support system for performance assessment and optimization of decision-making units

An application of possibilistic programming to the fuzzy location–allocation problems

Using neural network and decision tree for machine reliability prediction

Production planning: a DEA-based approach

A neural network solution for LOM process performance

Performance assessment of decision-making units using an adaptive neural network algorithm: one period case