Adapting Disruptive Applications in Managing Quality Control Systems in Intelligence Manufacturing

Author:

Lekan Amusan,Aigbavboa Clinton,Emetere Moses,Owolabi James

Abstract

Controlling quality has become a major trend in the circle of manufacturers and production managers that engage in intelligent manufacturing all over the world, on account of industry 4.0, in recent times. Intelligent manufacturing therefore is the use of advanced applications, analytics, sensors and Internet of Things (IoT) to improve manufacturing. The aim of the study is to carry out a study on application of disruptive application in managing quality system in intelligent manufacturing with a view to improving manufacturing process in organizations. Survey methods was used in collating responses from production managers of manufacturing companies at selected locations censoring production managers and supervisors on some parameters such as areas of disruptions in the quality assurance monitoring and calibration in production process, issues and challenges involved in quality control systems in manufacturing, Man-Whitney U Test, T-test, Pearson’s Test were used to analyze the collated data. Also, this study presents advanced analytical tools and applications to improve quality in manufacturing process. The study finally presents areas of disruptions in the quality assurance monitoring and calibration in production process, issues and challenges involved in quality control systems in manufacturing, emerging areas of application and recommendation for improvement.

Publisher

IntechOpen

Reference56 articles.

1. Zaidin, N. H. M., Diah, M. N. M., Po, H. Y. & Sorooshian, S. (2018). Quality Management in Industry 4.0 Era. Jou

2. Kagermann, H., Wahlster, W., Helbig, J. (2013). Recommendations For Implementing Thestrategic Initiative Industrie 4.0 - Final Report Of The Industrie 4.0 Working Group.

3. Feigenbaum A.V (1991). Total Quality Control, New York: McGraw-Hill.

4. Singh M, Khan IA, Grover S. Tools and Techniques for Quality Management in Manufacturing Industries. In: National Conference on Trends and Advances in Mechanical Engineering; 2012. pp. 853-859

5. Hirsch-Kreinsen, H. (2014). Smart production systems. A new type of industrial process innovation. In Proceedings of the 2014 DRUID Society Conference, Copenhagen, Denmark. rnal of Management and Science 8(2), 82–91.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3