Author:
Fasuludeen Kunju Firoz khan,Naveed Nida,Anwar Muhammad Naveed,Ul Haq Mir Irfan
Abstract
Purpose
Production industries are undergoing a digital transition, referred to as the fourth industrial revolution or Industry 4.0, as a result of rapidly expanding advances in information and communication technology. The purpose of this research is to provide a conceptual insight into the impact of unique capabilities from the fourth industrial revolution on production and maintenance tasks in terms of providing the existing production companies a boost by making recommendations on areas and tasks of great potential.
Design/methodology/approach
A survey and a literature review are among the research methods used in the research. The survey collected empirical data using a semi-structured questionnaire, which provided a broad overview of the company's present condition in terms of production and maintenance, resulting in more comprehensive and specific information regarding the study topics.
Findings
The study points out that, the implementation of I4.0-technology leads to an increase in production, asset utilization, quality, reduced machine down time in industries, and maintenance. Sensor technology, big data analysis, cloud technologies, mobile end devices, and real-time location systems are now being implemented to improve production processes and boost organizational competitiveness. Moreover, the study highlights that data acquired throughout the production process is utilized for quality control, predictive maintenance, and automatic production control. Furthermore, I4.0 solutions help companies to be more efficient with assets at each stage of the process, allowing them to have a stronger control on inventories and operational-optimization potential.
Originality/value
The findings of the study was supported by empirical data collected through survey that provides an intangible understanding of the importance of distinctive capabilities from the I4.0 revolution on production and maintenance tasks. In this study, some recommendations and guidelines to enhance these tasks are provided that are vital for existing production companies.
Subject
Industrial and Manufacturing Engineering,Computer Science Applications,Control and Systems Engineering
Reference82 articles.
1. Scanning the industry 4.0: a literature review on technologies for manufacturing systems;Engineering Science and Technology, an International Journal,2019
2. A research study on unsupervised machine learning algorithms for early fault detection in predictive maintenance,2018
3. The predictive maintenance concept in the maintenance department of the “industry 4.0” production enterprise;Foundations of Management,2018
4. Adopting open innovation for SMEs and industrial revolution 4.0;Journal of Science and Technology Policy Management,2021
5. The internet of things: a survey;Computer Networks,2010
Cited by
12 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