Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/253342
Title: Scheduling of various manufacturing systems using metaheuristic approaches
Researcher: Paulsingarayar S
Guide(s): Saravanan M
Keywords: Engineering and Technology,Engineering,Engineering Mechanical
Manufacturing Systems
Metaheuristic Approaches
University: Anna University
Completed Date: 2018
Abstract: Manufacturing system is significant by the ever varying expectation and mushrooming challenges in the global market. The requirement of customers are manifold which press a serious challenge to manufacturing system that is forced to adopt some changes to foster efficiency and production process. It is necessary to produce their products at very low expense without compromising quality avoiding any delay in executing the products at appropriate time. They should be open to adopt any additional changes in design with respect to demand without high investment. Traditional Manufacturing systems i.e. job shop and flow lines floundered to fulfill the demands which have brought flexible manufacturing system (FMS) as a solution for the raising challenges in the Competitive market. Today manufacturing system s efficiency and its impact have gained more attention. The perfect scheduling of a job is instrumental in determining the rate of success for the shop. Scheduling as a decision tool, determines the usage of resources, adaptation of time and expense level to execute the activities. The calculation of initial time and end time controls the sequence to be processed over the jobs to meet the equirements or objectives. Tremendous effort in computation is the only option for acing and fulfilling the problems of scheduling. Unfortunately, we are coining the terms as and#8215;NP-hard or and#8215;NP-complete problems in scheduling which facilitate the implementation of heuristic method for large sized problems. This complete nature prevailing in scheduling instigates the selection of smarter techniques or tools to arrive at suitable solutions. Conventional optimization techniques couldn t provide solutions to the diverse and complex optimization problems in the manufacturing system. newline
Pagination: xix, 134p.
URI: http://hdl.handle.net/10603/253342
Appears in Departments:Faculty of Mechanical Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File17.38 kBAdobe PDFView/Open
02_certificates.pdf1.11 MBAdobe PDFView/Open
03_abstract.pdf171.81 kBAdobe PDFView/Open
04_acknowledgement.pdf86.35 kBAdobe PDFView/Open
05_contents.pdf2.95 MBAdobe PDFView/Open
06_list_of_symbols and abbreviations.pdf113.54 kBAdobe PDFView/Open
07_chapter1.pdf216.21 kBAdobe PDFView/Open
08_chapter2.pdf156.07 kBAdobe PDFView/Open
09_chapter3.pdf961.02 kBAdobe PDFView/Open
10_chapter4.pdf392.88 kBAdobe PDFView/Open
11_chapter5.pdf163.3 kBAdobe PDFView/Open
12_chapter6.pdf402.6 kBAdobe PDFView/Open
13_conclusion.pdf159.69 kBAdobe PDFView/Open
14_references.pdf208.95 kBAdobe PDFView/Open
15_list_of_publications.pdf147.3 kBAdobe PDFView/Open


Items in Shodhganga are protected by copyright, with all rights reserved, unless otherwise indicated.