NDLI: Formulating standard product lead time at a textile factory using artificial neural networks

Content Provider	IEEE Xplore Digital Library
Author	Susanto, S. Tanaya, P.I. Soembagijo, A.S.
Copyright Year	2012
Description	Author affiliation: Department of Industrial Engineering, Swiss German University, Edutown BSD City, Tangerang, 15339, Indonesia (Susanto, S.; Tanaya, P.I.; Soembagijo, A.S.)
Abstract	This paper addresses the problems of product lead time (PLT) formulation in the textile industry and proposed a methodology to formulate product lead time of textile fabric production at a textile factory using artificial neural networks. Analysis of the order fulfillment process flow of the textile company was conducted to identify the individual sequential processes that constitute product lead time. Feed forward multilayer perceptron (MLP) neural networks are developed to estimate the lead time of critical PLT processes with incomplete data and various non-linear time affecting factors. The networks are trained in a supervised manner using back propagation algorithm. The finalized neural network lead time estimation models are able to predict the lead time for each process with a good degree of accuracy and can be used as a decision making tool for quoting product lead time to customer.
Starting Page	99
Ending Page	104
File Size	222662
Page Count	6
File Format	PDF
ISBN	9781467314596
e-ISBN	9781467314602
DOI	10.1109/URKE.2012.6319595
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-14
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial Neural Networks Neurons Companies Artificial neural networks Product Lead Time Back propagation Multilayer perceptron Textile Production Standards Biological neural networks Textiles
Content Type	Text
Resource Type	Article

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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
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