This study provides a systematic review of the existing academic literature describing the

key components of eMaintenance. The current literature is reviewed by utilizing a number of

academic databases including Scopus, SpringerLink and ScienceDirect, and Google Search is

used to find relevant academic and peer-reviewed journal articles concerning eMaintenance.

The literature describes eMaintenance as an advanced maintenance strategy that takes advantage

of the Internet, information and communication technologies, wireless technologies

and cloud computing. eMaintenance systems are used to provide real time analyses based

on real time data to offer a number of solutions and to define maintenance tasks. The collection

and analysis of appropriate maintenance and process data are critical to create robust

‘maintenance intelligence’ and finally improvements in manufacturing costs, safety, environmental

impact, and equipment reliability. This paper describes how the scientific discussion

on eMaintenance has expanded significantly during the last decade, creating a need for an

up-to-date review. As a conclusion, three research gaps in the area of eMaintenance are

identified, including evaluating the benefits of eMaintenance, agreeing on a

In the article, the significance and essence of management of intelligent manufacturing in

the era of the fourth industrial revolution has been presented. The current revolution has

a large impact on the operation of the company. Through the changes resulting from the

application of modern technologies, production processes are also undergoing revolutions,

which results in changes in such indicators of business development. Management of intelligent

manufacturing is also a challenge for socially responsible activities; due to solutions of

Industry 4.0, enterprises directly and indirectly influence environmental protection, which

results in benefits for all mankind. In the article, the analysis and assessment of management

of intelligent manufacturing, using modern technologies during the production process,

has been carried out, with particular emphasis on the components of management such as:

monitoring, control, autonomy, optimization. Moreover, the impact of the above components

of management on changes in the following indicators (KPI – Key Performance Indictors)

has been evaluated, i.e. (1) quality, (2) rapidity of the production process implementation,

(3) performance and (4) productivity, (5) decrease in waste generated during the technological

process and (6) amount of consumed electricity. For the purposes of conducting the

research, a case study has been used, developed due to the information shared by the company

manufacturing machinery and equipment for the polymer processing industry, in which

intelligent solutions of Industry 4.0 are being applied. The presented article is a significant

contribution to the current development of knowledge in the field of implementing Industry

4.0 solutions for polymer processing. The article is a combination of theoretical and practical

knowledge in the field of management and practical industrial applications. It refers to the

most current research trends.

The fourth industrial revolution has broadly transformed the manufacturing system. However, this transformation is somewhat lacking in traditional or manual production systems due to the absence of IT infrastructure. Such traditional industries need to have the advantage of real-time control and monitoring. This study has developed economic assembly planning, scheduling, and control for a traditional assembly system. We used the concept of the configurable virtual workstation as the digitalization framework. Then, we employed the decentralized scheduling concept to reduce the computational effort in scheduling the complex product. The implementation result showed that scheduling and planning have transformed the traditional assembly process into intelligent scheduling and control with low digitalization effort