Monitoring and control of production processes based on key performance indicators for mechatronic systems

2020 ◽  
Vol 220 ◽  
pp. 107452 ◽  
Author(s):  
Benedict Wohlers ◽  
Stefan Dziwok ◽  
Faruk Pasic ◽  
Andre Lipsmeier ◽  
Matthias Becker
Keyword(s):  
Performance Indicators ◽  
Key Performance Indicators ◽  
Monitoring And Control ◽  
Mechatronic Systems ◽  
Production Processes ◽  
And Control

scholarly journals Towards smart biomanufacturing: a perspective on recent developments in industrial measurement and monitoring technologies for bio-based production processes

2020 ◽  
Vol 47 (11) ◽  
pp. 947-964 ◽  
Author(s):  
Carina L. Gargalo ◽  
Isuru Udugama ◽  
Katrin Pontius ◽  
Pau C. Lopez ◽  
Rasmus F. Nielsen ◽  
...  
Keyword(s):  
Industrial Revolution ◽  
Control Strategies ◽  
Smart Manufacturing ◽  
Monitoring And Control ◽  
Large Sets ◽  
Production Processes ◽  
Recent Developments ◽  
Monitoring Technologies ◽  
And Control ◽  
Industrial Measurement

AbstractThe biomanufacturing industry has now the opportunity to upgrade its production processes to be in harmony with the latest industrial revolution. Technology creates capabilities that enable smart manufacturing while still complying with unfolding regulations. However, many biomanufacturing companies, especially in the biopharma sector, still have a long way to go to fully benefit from smart manufacturing as they first need to transition their current operations to an information-driven future. One of the most significant obstacles towards the implementation of smart biomanufacturing is the collection of large sets of relevant data. Therefore, in this work, we both summarize the advances that have been made to date with regards to the monitoring and control of bioprocesses, and highlight some of the key technologies that have the potential to contribute to gathering big data. Empowering the current biomanufacturing industry to transition to Industry 4.0 operations allows for improved productivity through information-driven automation, not only by developing infrastructure, but also by introducing more advanced monitoring and control strategies.

scholarly journals Review of Key Performance Indicators for Process Monitoring in the Mining Industry

Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 5169 ◽  
Author(s):  
Paulina Gackowiec ◽  
Marta Podobińska-Staniec ◽  
Edyta Brzychczy ◽  
Christopher Kühlbach ◽  
Toyga Özver
Keyword(s):  
Process Monitoring ◽  
Performance Indicators ◽  
Business Strategy ◽  
Lean Manufacturing ◽  
Process Management ◽  
Business Processes ◽  
Mining Industry ◽  
Key Performance Indicators ◽  
Sensor Data ◽  
Monitoring And Control

The sustainable development of an organisation requires a holistic approach to the evaluation of an enterprise’s goals and activities. The essential means enabling an organisation to achieve goals are business processes. Properly managed, business processes are a source of revenue and become an implementation of business strategy. The critical elements in process management in an enterprise are process monitoring and control. It is therefore essential to identify the Key Performance Indicators (KPIs) that are relevant to the analysed processes. Process monitoring can be performed at various levels of management, as well as from different perspectives: operational, financial, security, or maintenance. Some of the indicators known from other fields (such as personnel management, finance, or lean manufacturing) can be used in mining. However, the operational mining processes require a definition of specific indicators, especially in the context of increasing the productivity of mining machines and the possibility of using sensor data from machines and devices. The article presents a list of efficiency indicators adjusted to the specifics and particular needs of the mining industry resulting from the Industry 4.0 concept, as well as sustainable business performance. Using the conducted research and analysis, a list of indicators has been developed concerning person groups, which may serve as a benchmark for mining industry entities. The presented proposal is a result of work conducted in the SmartHUB project, which aims to create an Industrial Internet of Things (IIoT) platform that will support process management in the mining industry.

Methodology of Operationalization of KPIs for Shop-Floor

2019 ◽  
pp. 163-191
Author(s):  
Mariana Raposo Oliveira ◽  
Diogo Jorge ◽  
Paulo Peças
Keyword(s):  
Industrial Organization ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Shop Floor ◽  
Floor Level ◽  
And Control

Key performance indicators (KPIs) are a critical tool to support activities and results' monitoring in any industrial organization. The published literature and the available approaches on KPIs focus on the business and administrative level, being computed with information retrieved at the shop-floor level. Despite that, there is a scarcity of structured and comprehensive approaches to support the generation of KPIs to be used at the shop-floor level (the few existent approaches are empiric-based). In this chapter, a methodology to support the selection and organization of KPIs at the shop-floor level is proposed. Departing from the Hoshin Kanri strategy deployment, it identifies the levels of decision and control in the company regarding the production activities and derives the most adequate KPIs for each level based on universal questions about “what performance to assess.” The build-up of visual management boards for each level is also proposed.

scholarly journals In-Line Monitoring and Control of Rheological Properties through Data-Driven Ultrasound Soft-Sensors

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 5009 ◽  
Author(s):  
Stefania Tronci ◽  
Paul Van Neer ◽  
Erwin Giling ◽  
Uilke Stelwagen ◽  
Daniele Piras ◽  
...  
Keyword(s):  
Performance Indicators ◽  
Continuous Process ◽  
Principal Component ◽  
Feedforward Neural Networks ◽  
Data Driven ◽  
Monitoring And Control ◽  
Soft Sensors ◽  
Continuous Processes ◽  
Data Driven Approach ◽  
And Control

The use of continuous processing is replacing batch modes because of their capabilities to address issues of agility, flexibility, cost, and robustness. Continuous processes can be operated at more extreme conditions, resulting in higher speed and efficiency. The issue when using a continuous process is to maintain the satisfaction of quality indices even in the presence of perturbations. For this reason, it is important to evaluate in-line key performance indicators. Rheology is a critical parameter when dealing with the production of complex fluids obtained by mixing and filling. In this work, a tomographic ultrasonic velocity meter is applied to obtain the rheological curve of a non-Newtonian fluid. Raw ultrasound signals are processed using a data-driven approach based on principal component analysis (PCA) and feedforward neural networks (FNN). The obtained sensor has been associated with a data-driven decision support system for conducting the process.

Monitoring and control of beta-distributed multistage production processes

2017 ◽  
Vol 16 (1) ◽  
pp. 1-18 ◽  
Author(s):  
S. Kim ◽  
J. Kim ◽  
M. K. Jeong ◽  
K. N. Al-Khalifa ◽  
A. M. S. Hamouda ◽  
...  
Keyword(s):  
Monitoring And Control ◽  
Production Processes ◽  
Multistage Production ◽  
And Control

Monitoring and control of biotechnological production processes by Bio-FET-FIA-sensors

1991 ◽  
Vol 36 (2) ◽  
pp. 167-172 ◽  
Author(s):  
U. Brand ◽  
L. Brandes ◽  
V. Koch ◽  
T. Kullik ◽  
B. Reinhardt ◽  
...  
Keyword(s):  
Monitoring And Control ◽  
Biotechnological Production ◽  
Production Processes ◽  
And Control

scholarly journals Identification of Key Performance Indicators in Project-Based Organisations through the Lean Approach

2020 ◽  
Vol 12 (15) ◽  
pp. 5977
Author(s):  
Carolina Cruz Villazón ◽  
Leonardo Sastoque Pinilla ◽  
José Ramón Otegi Olaso ◽  
Nerea Toledo Gandarias ◽  
Norberto López de Lacalle
Keyword(s):  
Performance Indicators ◽  
Project Success ◽  
Key Performance Indicators ◽  
Relevant Information ◽  
Daily Basis ◽  
Qualitative Approach ◽  
Lean Principles ◽  
Innovation Project ◽  
And Control

For the time being, companies and organisations are being forced to compete in utterly complex and globalised environments, facing massive natural, economic, and technological challenges on a daily basis. Addressing these challenges would be impossible without a proper approach that helps them identify, measure, understand, and control the performance of their organisations. Lean principles and techniques rise as a solution. This paper justifies and proposes the use of lean principles and techniques to identify key performance indicators (KPIs) in project-based organisations based on their organisational and operational needs. The research focuses mainly on the identification and categorisation of KPIs through a qualitative approach, based on systematic literature review (SLR) of performance indicators, project management, and project success. As a case study, an analysis of relevant information of an R&D and innovation project-based organisation, such as quality manuals, a benchmarking process, internal studies, and surveys regarding what success means for different kinds of stakeholders and for the organisation itself was conducted. As a result, this research is of a high value for project-based organisations, especially those that are not apprised of how to correctly formulate a series of KPIs, or whose path to it is still not clear.

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