Bottleneck shifting in production lines: Impact of variability, new detection method and control strategies

SOAR Repository

Show simple item record

dc.contributor.advisor Krishnan, Krishna K.
dc.contributor.author Tamilselvan, Prasannavenkatesh
dc.date.accessioned 2011-08-30T01:11:53Z
dc.date.available 2011-08-30T01:11:53Z
dc.date.copyright 2010 en
dc.date.issued 2010-08
dc.identifier.other t10073
dc.identifier.uri http://hdl.handle.net/10057/3708
dc.description Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Industrial and Manufacturing Engineering. en_US
dc.description.abstract One of the main causes for degrade in the performance of a production line is bottleneck machine. To improve system performance, bottleneck (BN) is one of the critical factors that need to be addressed. Most of the researchers focus on long term bottlenecks in the system. From other researches, it is evident that detection and elimination of short term BNs is more efficient than long term BNs. Till now, there is no generic method to identify bottlenecks in production lines with and without buffer. Proposed inactive duration method for identification of BNs detects both short term and long term bottlenecks. In production lines, bottlenecks can be classified into buffer bottlenecks and machine bottlenecks. Machine BNs are mainly due to variability in the system. There is always strong relationship between variability and machine BN. Due to dynamic nature of manufacturing lines, there will be frequent shifting of BN between different machines. In this research, BN characteristics are proposed to analyze the critical nature of BN and BN shifting. In production lines with buffer, buffer bottlenecks are eliminated by placing optimal buffer size before each machine. This thesis presents a two step heuristic procedure for optimal buffer size determination. Case studies were conducted for both production lines with optimal buffer and without buffer. Results from case studies proved that increase in variability increases BN time and BN shifting between different machines. en_US
dc.format.extent xvii, 175 p. en
dc.language.iso en_US en_US
dc.publisher Wichita State University en_US
dc.rights Copyright Prasannavenkatesh Tamilselvan, 2010. All rights reserved en
dc.subject.lcsh Electronic dissertations en
dc.title Bottleneck shifting in production lines: Impact of variability, new detection method and control strategies en_US
dc.type Thesis en_US

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search SOAR

Advanced Search


My Account