Abstract
The current study is looking forward to the need to secure Lean manufacturing dimensions which is represent by (value Stream mapping, continuous improvement, workplace organizing, rapid setup /quick Change) in Al.Diwaniya textile factory because of its role in achieving competitive advantages represent by (cost, quality, delivery time, flexibility), as industrial organization had an important role in supplying the Iraqi economy, to improve and maximize efficiency and effectiveness desired and bridge the gap that prevented sought desired goals by standing on errors and processed in all stages of operations and performing procedures continuous improvement to achieve high levels of quality and adoption modern scientific methods in workplace organizing as well as training for employees on the setup speed to avoid problems at every stage. The problem of the study represented by a series of questions about whether there is a clear perception about lean manufacturing philosophy and its dimensions and availability in organization examined, as well as the level of influence leave Lean manufacturing to achieve and strengthen competitive advantages in addition to test the hypothesis. here is statistically significant correlation and impact between the dimensions of lean manufacturing and competitive advantage. The study derived its importance from being dealing with one of the most important centers in Al.Diwaniya and lean manufacturing importance of the subject in an attempt to get rid of all kinds of waste, as well as being an attempt to arouse the interest of organization researched and other organizations to investment their resources and energies better. The study aims at building a knowledge and philosophical conception of Lean manufacturing and directing attention toward it, and recognize the reality and the possibility of the application of it dimensions by organization researched to help in solving their problems. To collect Data and information, a questionnaire has been mainly adopted. Different statistical methods has been used such as (style linear regression, test t, alpha Cronbach's coefficients, segmentation Kautaman midterm) using statistical software (SPSS Vr.20) The study includes conclusions and recommendations that are built on their findings.
