Please use this identifier to cite or link to this item:
http://dspace.dtu.ac.in:8080/jspui/handle/repository/15300
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | KUMAR, NAVEEN | - |
dc.date.accessioned | 2016-11-03T12:00:58Z | - |
dc.date.available | 2016-11-03T12:00:58Z | - |
dc.date.issued | 2016-11 | - |
dc.identifier.uri | http://dspace.dtu.ac.in:8080/jspui/handle/repository/15300 | - |
dc.description.abstract | In present context of globalization, organizations need to improve their performance in terms of high productivity and cost minimization. These organizations are in continuous pressure to meet customers’ requirements on regular basis. To meet these challenges, lean manufacturing has emerged as an important tool. Therefore present study has been carried out in context of successful implementation of lean manufacturing in manufacturing organizations. In first part, study has tried to justify the lean manufacturing vs. traditional manufacturing with the help of analytic hierarchy process (AHP) on basis of major benefits of lean manufacturing. By using AHP, global desirability index of lean manufacturing and traditional manufacturing are calculated and compared. In second part, critical success factors of lean manufacturing have been identified based on literature review. Then these critical success factors have been ranked with the help of technique for order preference by similarity to ideal solution (TOPSIS). TOPSIS method has relatively high rationality and applicability when it is used to rank the critical success factors of lean manufacturing in organization. In next part, study identified and prioritized the solutions for lean manufacturing implementation to overcome its barriers. It will help organizations to concentrate on high ranked solutions and develop strategies to implement them on priority. Study proposed a framework based on fuzzy AHP and fuzzy TOPSIS to identify and rank the solutions of lean manufacturing in organization and overcome to its barriers. This proposed framework provides more accurate, effective and systematic decision support tool for stepwise implementation of solutions of lean manufacturing in organization to increase its success rate. Finally all findings from different sections have been synthesised in last chapter | en_US |
dc.language.iso | en_US | en_US |
dc.relation.ispartofseries | TD NO.1785; | - |
dc.subject | LEAN MANUFACTURING | en_US |
dc.subject | TOPSIS | en_US |
dc.subject | AHP | en_US |
dc.subject | MODELLING | en_US |
dc.title | MODELLING OF FACTORS FOR SUCCESSFUL IMPLEMENTATION OF LEAN MANUFACTURING | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | M.E./M.Tech. Production Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
naveen final thesis.pdf | 1.66 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.