Exploring lean implementation success factors in job shop, batch shop, and assembly line manufacturing settings

<p>This study was motivated by the differences in manufacturing settings, which provide challenges for those organizations undertaking a lean implementation. The levels of applicability of sixteen lean tools were examined in three different manufacturing settings: a job shop, a batch shop, and an assembly line. Specifically, this study explored the perceptions of managers familiar with lean regarding which lean tools were associated with better operational performance. The level of satisfaction with the lean programs in each of the three manufacturing settings was explored as well. The data were collected through a survey that was emailed to one thousand managers working in manufacturing companies located in the US.</p> <p>The results revealed that different lean tools are used at different levels in the three manufacturing settings, and the lean tools contributing most to the group differences were <em>Heijunka</em> (HEIJ), <em>Just in Time </em>(JIT) and <em>Kaizen </em>(KAIZ). The analysis revealed statistically significant positive relationships between the perceived operational performance of firms in job shop and batch shop settings and the implementation of <em>Workers Involvement</em> (WINV) and <em>Muda Elimination</em> (MUDA) <em>lean</em> tools. Assembly line settings had statistically significant positive relationships with the implementation of <em>Standardized Work</em> (STANDW) and <em>Value Stream Mapping</em> (VSM). The results highlighted the importance of <em>Workers Involvement</em>(WINV), which is consistent with prior work.</p> <p>The managers’ satisfaction with the <em>lean</em> program was most associated with the implementation of <em>Heijunka </em>(HEIJ) in a job shop setting, <em>Workers Involvement </em>(WINV) in a batch shop setting, and <em>Continuous Flow</em> (CONTFL) in an assembly line setting. This study presents a decision-making mode l which can be helpful in the successful implementation of the lean paradigm in each of the three manufacturing settings. A number of recommendations for future research are proposed.</p>

Name thesis:degree_name

Doctor of Philosophy (PhD)

Level thesis:degree_level

Open Access Dissertation

Discipline thesis:degree_discipline

College of Technology

Year dc:date.available

2013

Author dc:creator

• Todorova, Daniela

Contributors dc:contributor

• Dr. Dugger, Ph.D, Dissertation Chair
• Dr. Haddad, Ph.D
• Dr. Bellamy, Ph.D

• business enterprises
• batch
• job
• manufacturing processes
• Operations Research, Systems Engineering and Industrial Engineering

Repository record dc:identifier

https://commons.emich.edu/theses/481

OAI identifier oai:identifier

oai:commons.emich.edu:theses-1852