dc.contributor.author |
Srinath, SLD |
|
dc.contributor.author |
Dharmapriya, USS |
|
dc.date.accessioned |
2015-08-03T10:14:31Z |
|
dc.date.available |
2015-08-03T10:14:31Z |
|
dc.date.issued |
2015-08-03 |
|
dc.identifier.uri |
http://dl.lib.mrt.ac.lk/handle/123/11118 |
|
dc.description.abstract |
Lean philosophy has received more emphasize during recent times due to its robust features which facilitate productive manufacturing environments in companies regardless of the type of industry. However, enormous approaches taken to implement lean manufacturing systems inside factories, have failed to achieve desired objectives. This is mainly due to the focus on individual lean attributes rather than considering their collective impact on a system. This paper suggested an approach to measure correlations among lean attributes using their degrees of implementation. These correlations will help organizations to identify lean attributes which are interrelated. The quest is how to measure the degree to which each lean attribute has been implemented within the organization. Different companies have varying levels of lean implementations. Therefore identifying the leanness requires the organization to compare itself against a proxy company who has also implemented similar lean attributes. This research suggested an approach to identify a proxy company and then evaluate the degrees of lean attribute implementations of the selected company. The fuzzy membership functions were used to calculate the degrees. These degrees were then used to figure out possible correlations among lean attributes. The research findings showed that visual feedback made available to the factory floor had triggered a positive impact on other lean attributes in most circumstances. |
en_US |
dc.description.sponsorship |
IEEE
IEEE Sri Lanka Section
Robotics and Automation Section Chapter, IEEE Sri Lanka Section |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
lean philosophy; lean attributes; correlations; degrees of implementation; proxy company; fuzzy membership functions |
en_US |
dc.title |
An approach to evaluate interrelationships among lean attributes of manufacturing systems: A case study based on lean enterprises |
en_US |
dc.type |
Conference-Full-text |
en_US |
dc.identifier.faculty |
Engineering |
en_US |
dc.identifier.department |
Department of Transport & Logistics Management University of Moratuwa Moratuwa, Sri Lanka |
en_US |
dc.identifier.year |
2015 |
en_US |
dc.identifier.conference |
MERCon 2015 Moratuwa Engineering Research Conference |
en_US |
dc.identifier.place |
University of Moratuwa, Sri Lanka |
en_US |
dc.identifier.pgnos |
p 62-63 |
en_US |