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In this context, the central role of industrial engineering and management (IEM) has arisen, with a holistic, systems-thinking, and ethics-based view of processes and complex systems. The IEM is not only a combination of engineering and management, but a “new” integrated applied science along the entire value chain and product and service ...
This special issue on "Industrial Management Control Systems for Sustainable Development" aims to bring together the most outstanding research and comprehensive coverage of all aspects related to management control for sustainable development, covering a wide range of technologies, tools, and techniques to generate sustainable development ...
Dear Colleagues, Matching industrial capabilities and society needs is challenging for companies. Moreover, being capable of performing operations with the efficient management of information, materials, and financial flows at the lowest risk possible to maximize a company´s overall value and optimize the impact on its related environment plays a fundamental role in current global supply ...
Few decades ago, the development of the industrial sector was disconnected from society’s protection. Negative effects awareness emerges from the current industrial processes through the Sustainable Development Goals (SDGs), considering the causal implications to build up a more sustainable society. The aim of this study is to analyze the state of the art in industrial processes management ...
One of the challenges facing operations management is the design, choice, and implementation of action plans adapted to the magnitude of the deviations from the variables of an industrial process. Making conscious and quick decisions is crucial to achieving improvements in productivity. This will be achieved if the organization’s internal and external communication model is strategically ...
The Industrial IoT is a complex topic that includes aspects of information technology, operation technology, statistics, and engineering. So, we proposed a layered framework for industrial data management system with five basic layers like physical, network, middleware, database, and application layers.
Nowadays, people live amidst the smart home domain, while there are business opportunities in industrial smart cities and healthcare. However, there are concerns about security. Security is central for IoT systems to protect sensitive data and infrastructure, whilst security issues have become increasingly expensive, in particular in Industrial Internet of Things (IIoT) domains. Nonetheless ...
Recent developments in production processes and their automation have led to the definition of the Fourth Industrial Revolution, commonly known as “Industry 4.0”. Industry 4.0 is a very broad domain that includes: production processes, efficiency, data management, relationship with consumers, competitiveness, and much more. At the same time, obviously, Industry 4.0 has become a new theme ...
Industrial power has a large load base and considerable adjustment potential. Enterprises with a high degree of automation and adjustable potential can automatically adjust the production status according to the peak load, frequency of the power grid and the demand of new energy consumption, so as to realize automatic demand response. This paper analyzes the opportunities and challenges of ...
The code of industrial management software typically features few system API calls and a high number of customized variables and structures. This makes the similarity of such codes difficult to compute using text features or traditional neural network methods. In this paper, we propose an FSPS-GNN model, which is based on graph neural networks (GNNs), to address this problem. The model ...