Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/261938
Title: Design and development of neuro fuzzy methods to monitor supply chain disruption in manufacturing industries
Researcher: Ralph Leeben J
Guide(s): Saravanan M
Keywords: Engineering and Technology,Engineering,Engineering Mechanical
Manufacturing Industry
Neuro-Fuzzy Methods
University: Anna University
Completed Date: 2018
Abstract: Supply Chain Management (SCM) plays an important role in coordinating the flow of materials from source to destination. SCM depends on many external factors like SCM of other companies that are involved in supplying raw materials and many internal factors like working conditions of machines, working facilities and availability of in-process materials during manufacturing of products. Any disruption in supply chain leads to increase in time for delivery of finished products to the customers. This research work focuses on monitoring and estimating the Supply Chain Disruption (SCD) in the fastener/ automobile/ paper production industries by using Fuzzy Inference System (FIS). Inorder to increase the performance of the FIS, the parameters of the FIS are modified by using Aritificial Neural Network (ANN) algorithms like Back Propagation Algorithm (BPA), Radial Basis Function (RBF), Echo State Neural Network (ESNN) and Cerebellar Model Articulation Controller (CMAC). newline
Pagination: xxv,181p.
URI: http://hdl.handle.net/10603/261938
Appears in Departments:Department of Mechanical Engineering

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02_certificates.pdf3 MBAdobe PDFView/Open
03_abstract.pdf106.39 kBAdobe PDFView/Open
04_acknowledgement.pdf80.09 kBAdobe PDFView/Open
05_contents.pdf7.79 MBAdobe PDFView/Open
06_list_of_symbols_and_abbreviations.pdf107.69 kBAdobe PDFView/Open
07_chapter1.pdf310.71 kBAdobe PDFView/Open
08_chapter2.pdf200.93 kBAdobe PDFView/Open
09_chapter3.pdf542.68 kBAdobe PDFView/Open
10_chapter4.pdf1.41 MBAdobe PDFView/Open
11_chapter5.pdf1.01 MBAdobe PDFView/Open
12_chapter6.pdf1.08 MBAdobe PDFView/Open
13_chapter7.pdf220.04 kBAdobe PDFView/Open
14_chapter8.pdf421.48 kBAdobe PDFView/Open
15_references.pdf981.02 kBAdobe PDFView/Open
16_publications.pdf141.42 kBAdobe PDFView/Open


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