A Study for the Awareness of Lean Construction in Building Inspection Firms

Hatice Kübra Yilmaz (u. a.)

ISBN 10: 6204716506 / ISBN 13: 9786204716503

Published by LAP LAMBERT Academic Publishing, 2021

About this Item

A Study for the Awareness of Lean Construction in Building Inspection Firms | Hatice Kübra Yilmaz (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204716503 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 120795469

Bibliographic Details

• Title: A Study for the Awareness of Lean Construction in Building Inspection Firms
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2021
• Language: English
• ISBN 10: 6204716506
• ISBN 13: 9786204716503
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 149 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Lean construction and waste concept are two issues that have a very important position today. Lean manufacturing is a Japanese business plan born in Toyota in terms of emergence. This philosophy is the philosophy of production, which in the most basic sense qualifies as a waste and tries to eliminate everything that does not add value to the product or service, as a result, aims to reduce costs and give the business a competitive advantage. In order to measure the level of awareness in the construction audit companies, which are one of the main branches of the construction sector, and the level of awareness on this issue, a survey was conducted by meeting face-to-face with technical personnel residing in Adana province. The results of the surveys have been converted into data sets in the appropriate format in Microsoft Excel. With the prepared data set, the reliability level of the survey was measured in the SPSS program and the analysis of the data was carried out through the WEKA program. The study used Association Rules inference, which is one of the data mining methods.