Determination of Health Key Performance Indicators and Their Visualization in the Production System in the Context of Industry 4.0

Author(s):  
Maryam Mohammad-Amini ◽  
Behnam Einabadi ◽  
Armand Baboli ◽  
Reza Tavakkoli-Moghaddam
2020 ◽  
Vol 66 (3) ◽  
pp. 22-35
Author(s):  
Simona Šarotar Žižek ◽  
Zlatko Nedelko ◽  
Matjaž Mulej ◽  
Živa Veingerl Čič

AbstractThe main aim of this contribution is to outline the role and importance of key performance indicators in the frame of Industry 4.0 implementation. These key performance indicators are presented as a cornerstone for industry 4.0 implementation in organizational practice, since they represent key input for needed data in digitalized organization. In that framework, the contribution first exposes some of the essential characteristics of “Industry 4.0”, followed by the methodology of key performance indicators (KPI). Next, the contribution outlined a proposed methodology for implementing KPIs in frame of Industry 4.0 adoption in organizations. Another section of the paper is dedicatd to the linkage between corporate social responsilbty and KPIs in frame of Industry 4.0. The paper also outlines implications, limitations and further research directions are outlined.


2017 ◽  
Vol 37 (2) ◽  
pp. 120-128
Author(s):  
Carlos Mario Zapata Jaramillo ◽  
Luis Fernando Castro Rojas

Performance measurement is crucial for achieving business success. Moreover, such success is also related to the fulfillment of the organizational strategic objectives. Hence, an adequate determination of relevant performance indicators—or key performance indicators (KPIs)—and their relationships to organizational objectives is needed. Even though several approaches for treating KPIs and objective-KPI relationships have been proposed, they exhibit some drawbacks associated with the lack of reusability and traceability. We attempt to fill this gap by proposing a set of patterns based on pre-conceptual schemas for supporting the systematic derivation of KPIs and their relationships to organizational objectives. In this way, the proposed patterns guarantee a reusable and traceable derivation process of a set of candidate KPIs from organizational strategic objectives. Lastly, we provide a lab study in order to illustrate the usefulness of this proposal.


2021 ◽  
Vol 2 (3) ◽  
pp. 16-23
Author(s):  
G. A. ARUTYUNYAN ◽  
◽  
M. A. VAKHRUSHINA ◽  

The article highlights the theoretical approaches for determination of a performance indicator as a tool for management accounting and internal control of a business, on the basis of which various decisions regarding business strategy and personnel motivation may be made. The analysis showed that it is important not only the approach of their definition, but also the data for determination of these indicators. The article provides recommendations for the preparation of accounting policies for revenue accounting in accordance with IFRS 15, which may significantly affect the performance indicators of the company.


2021 ◽  
pp. 272-283
Author(s):  
Jan Maarten de Bruijn

Each sugar factory needs appropriate guidance to produce the desired white sugar product and co-products in their installed process equipment from the received sugar beet in a cost-effective way. Based on the generally known principles of sugar technology and supported by the extensive experience in beet sugar processing, this paper provides an overview of important key performance indicators (KPIs) which a factory could use as targets to optimize their beet processing. The recommended technological process set-points, which are required to fulfil the defined KPI targets, will be covered too. The theoretical background of sugar process technology is at the basis for the determination of the recommended process control parameters and will be used to explain the preferred choices of KPIs and process set-points.


2018 ◽  
Vol 68 ◽  
pp. 28-34 ◽  
Author(s):  
Mohamed Eshtaiwi ◽  
Ibrahim Badi ◽  
Ali Abdulshahed ◽  
Turan Erman Erkan

2021 ◽  
Vol 26 (3) ◽  
pp. 3-36
Author(s):  
Konstantin Kostin ◽  
Kristina Steinbiß ◽  
Oliver Petrinovic

This study determines the correlation between industry-specific success patterns of the German engineering industry and the business models applied within. In order to identify this correlation, the following objectives are addressed within the framework of this paper: (1) identification and description of business models used by the German engineering industry; (2) analysis of industry-specific success patterns of the German engineering industry by the usage of Key Performance Indicators (KPIs); and (3) determination of correlation between the KPIs and the effectiveness of the business models of the German engineering industry These objectives are mainly achieved by literature research and expert surveys. The findings highlight the KPIs (overall 41) that are relevant for the respective business models. This enables a better understanding of the interrelationships of the business model, in order to derive relevant conclusions. The paper contributes to the literature as it advances this field of research in Germany, and it is one of the first studies to examine the relationship between business models and industry-specific success patterns with relevant KPIs.


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