scholarly journals Manager competency assessment model in the conditions of industry 4.0

2020 ◽  
Vol 7 (4) ◽  
pp. 2630-2644 ◽  
Author(s):  
Henryk Dzwigol ◽  
Mariola Dzwigol-Barosz ◽  
Radoslaw Miskiewicz ◽  
Aleksy Kwilinski
Procedia CIRP ◽  
2019 ◽  
Vol 81 ◽  
pp. 753-758 ◽  
Author(s):  
Sri Kolla ◽  
Meysam Minufekr ◽  
Peter Plapper

Author(s):  
Petar Radanliev ◽  
Rafael Mantilla Montalvo ◽  
Razvan Nicolescu ◽  
Michael Huth ◽  
Stacy Cannady ◽  
...  

This paper is focused on mapping the current evolution of Internet of Things (IoT) and its associated cyber risks for the Industry 4.0 (I4.0) sector. We report the results of a qualitative empirical study that correlates academic literature with 14 - I4.0 frameworks and initiatives. We apply the grounded theory approach to synthesise the findings from our literature review, to compare the cyber security frameworks and cyber security quantitative impact assessment models, with the world leading I4.0 technological trends. From the findings, we build a new impact assessment model of IoT cyber risk in Industry 4.0. We therefore advance the efforts of integrating standards and governance into Industry 4.0 and offer a better understanding of economics impact assessment models for I4.0.


2020 ◽  
Vol 12 (9) ◽  
pp. 3559 ◽  
Author(s):  
Erwin Rauch ◽  
Marco Unterhofer ◽  
Rafael A. Rojas ◽  
Luca Gualtieri ◽  
Manuel Woschank ◽  
...  

Industry 4.0 has attracted the attention of manufacturing companies over the past ten years. Despite efforts in research and knowledge transfer from research to practice, the introduction of Industry 4.0 concepts and technologies is still a major challenge for many companies, especially small and medium-sized enterprises (SMEs). Many of these SMEs have no overview of existing Industry 4.0 concepts and technologies, how they are implemented in their own companies, and which concepts and technologies should primarily be focused on future Industry 4.0 implementation measures. The aim of this research was to develop an assessment model for SMEs that is easy to apply, provides a clear overview of existing Industry 4.0 concepts, and supports SMEs in defining their individual strategy to introduce Industry 4.0 in their firm. The maturity level-based assessment tool presented in this work includes a catalog of 42 Industry 4.0 concepts and a norm strategy based on the results of the assessment to support SMEs in introducing the most promising concepts. For testing and validation purposes, the assessment model has been applied in a field study with 17 industrial companies.


Author(s):  
Sarah Rezk ◽  
Gary C. Whited ◽  
Michael Ibrahim ◽  
Awad S. Hanna

Project managers (PMs) play a key role in the successful completion of construction projects. Therefore, PM competencies have been heavily investigated over the past few decades, often focusing on two types of skills: hard skills, including technical knowledge; and soft skills, including personal traits. This extensive body of knowledge was lacking the focus on PMs of transportation projects who work in a state highway agency (SHA). This research addresses this gap by developing a comprehensive competency assessment model tailored for SHA PMs. This research identified 55 PM essential competencies spanning five categories: project management knowledge and experience; leadership; SHA operational knowledge and experience; industry knowledge and experience; and cognitive/personal effectiveness. Also, by collecting extensive data from 90 PMs, this research developed a mathematical model to compute competency weights for differentiating exceptional and average PMs. The weights were then used to create a comprehensive score that can assess PM competencies as an overall percentage. This score was benchmarked using the collected data to distinguish between exceptional and average PMs. To effectively communicate the research findings to industry practitioners, a computer-based tool was created. This tool assists SHAs and their PMs in assessing competencies, and identifies training needs to improve overall PM performance and skill sets. The tool was tested and validated by five Wisconsin Department of Transportation PM supervisors, all of whom acclaimed its accuracy and potential value.


AORN Journal ◽  
1997 ◽  
Vol 66 (6) ◽  
pp. 1065-1071 ◽  
Author(s):  
Elizabeth C. Parsons ◽  
Mary Bonan Capka

Author(s):  
Petar Radanliev ◽  
Rafael Mantilla Montalvo ◽  
Stacy Cannady ◽  
Razvan Nicolescu ◽  
Dave De Roure ◽  
...  

This research article reports the results of a qualitative case study that correlates academic literature with five Industry 4.0 cyber trends, seven cyber risk frameworks and two cyber risk models. While there is a strong interest in industry and academia to standardise existing cyber risk frameworks, models and methodologies, an attempt to combine these approaches has not been done until present. We apply the grounded theory approach to derive with integration criteria for the reviewed frameworks, models and methodologies. Then, we propose a new architecture for the integration of the reviewed frameworks, models and methodologies. We therefore advance the efforts of integrating standards and governance into Industry 4.0 and offer a better understanding of a holistic economic impact assessment model for IoT cyber risk.


2021 ◽  
Vol 2 (3) ◽  
pp. 818-825
Author(s):  
Nur Kumala Dewi

This driver behavior assessment model discusses the expertise of public transport drivers based on the national Work Qualification with graduate competency standards (SKL). Graduate competency standards have parameters, namely competence, competency elements and graduation indicators. From these three parameters, the competency unit is abbreviated as UK, the competency element is abbreviated as EK, and the graduation indicator is abbreviated as IK. Assessment of the first competency unit is upon attitudes and values, the second competency unit is upon the ability in the field of work, the third competency unit isupon the area of ​​knowledge mastered and the fourth competency unit is upon the rights and responsibilities. The first competency unit has 6 competency elements and 6 graduation indicators, the second competency unit has 27 competency elements and 41 graduation indicators, the third competency unit has 6 competencies and 11 graduation indicators, the fourth competency unit has 2 competency elements and 4 graduation indicators. The first unit is abbreviated as UK1, the first competency element is abbreviated as EK1, while for the first indicator of graduation is abbreviated as IK1. The combination of UK1, EK1 and IK1 becomes UK1EK1. The combination of the first competency unit becomes the first competency element and combined to become the first graduation indicator then becomes UK1IK1, and so do the next competency unit up to the fourth competency unit. The completion stages of this discussion is carried out in four steps, namely problem identification, model design, implementation and system evaluation. The calculation process uses Analytic Hierarchy Process (AHP).


2020 ◽  
Vol 10 (6) ◽  
pp. 2022
Author(s):  
Che-Wei Chang

Traditionally, the footwear industry is labor intensive, and cost control is key to ensuring shoe companies can be competitive. The development of Industry 4.0 concepts, used in high-tech industries and blockchain production information systems, enables the creation of smart factories with online alarm management systems, to improve manufacturing efficiency and reduce human resource requirements. In this paper, the performances of the causal association assessment model and the technique for order preference by similarity to the ideal solution (TOPSIS) model in evaluating large data blockchain technologies and quality online real-time early warning systems for production and raw material supplier management are compared, to increase the intelligence of production and to manage product traceability.


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