工程项目部门精益实施准备情况调查

IF 2.3 4区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY
Systems Pub Date : 2024-08-31 DOI:10.3390/systems12090335
Uzayr Karimulla, Kapil Gupta, Daramy Vandi Von Kallon
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引用次数: 0

摘要

精益方法是一种广泛应用于制造业的系统,它已为该行业带来诸多益处和巨大价值。与其他行业从精益技术的应用中获益的方式相同,工程项目部门也可以通过将精益原则融入其流程和运营中来实现重大改进。本研究旨在全面了解精益概念的应用情况,重点关注南非工程项目部门。通过对精益技术、技术和项目部门进行全面的文献综述,研究发现了影响该行业有效实施精益方法的关键变量。研究的变量包括技能和专业知识、积极的工作方法和领导风格。研究还探讨了数字技术对精益实施的影响,探讨了这些技术如何促进精益实践的整合。研究包括描述性统计分析、探索性因素分析和数据确认性因素分析。研究发现,在南非工程项目领域,影响精益实施的变量与精益实践的有效性之间存在重要关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Investigation into Lean Implementation Preparedness in the Engineering Projects Sector
Lean methodologies, a system widely used in the manufacturing industry, have demonstrated numerous benefits and added significant value to the industry. In the same way that other industries have benefitted from the application of Lean techniques, the engineering projects sector can also realise significant improvements by integrating Lean principles into its processes and operations. The study aims to gain a comprehensive insight into the application of the Lean concept, with a focus on the South African engineering projects sector. The findings of a thorough literature review, focussing on Lean techniques, technology, and the projects sector, examined key variables that have an impact on the effective implementation of Lean methodologies within this industry. The variables studied are skills and expertise, active work methods, and leadership style. The study also explores the impact of digital technologies on Lean implementation, exploring how these technologies enhance the integration of Lean practices. The study includes descriptive statistical analysis, exploratory factor analysis, and a confirmatory factor analysis of the data. A significant relationship is found between variables influencing Lean implementation and the effectiveness of Lean practices within the South African engineering projects sector.
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来源期刊
Systems
Systems Decision Sciences-Information Systems and Management
CiteScore
2.80
自引率
15.80%
发文量
204
审稿时长
11 weeks
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