Assessing the barriers to industry 4.0 implementation from a maintenance management perspective-pilot study results
M Jasiulewicz-Kaczmarek, K Antosz, C Zhang… - IFAC-PapersOnLine, 2022 - Elsevier
The purpose of this paper is to identify the barriers of I4. 0 technologies implementation in
maintenance. Based on literature analysis twenty two barriers of I4. 0 technologies …
maintenance. Based on literature analysis twenty two barriers of I4. 0 technologies …
[HTML][HTML] A data-driven approach for improving sustainable product development
M Relich - Sustainability, 2023 - mdpi.com
A product's impact on environmental issues in its complete life cycle is significantly
determined by decisions taken during product development. Thus, it is of vital importance to …
determined by decisions taken during product development. Thus, it is of vital importance to …
[HTML][HTML] Risk management and knowledge management as critical success factors of sustainability projects
R Doskočil, B Lacko - Sustainability, 2018 - mdpi.com
The paper is focused on the analysis of the key aspects of sustainability projects, namely
advanced risk management and project knowledge. These aspects are recommended to the …
advanced risk management and project knowledge. These aspects are recommended to the …
Traditional vs. modern project management methods. Theory and practice
S Spalek - Smart and Efficient Economy: Preparation for the …, 2016 - papers.ssrn.com
Abstract The Purpose: The purpose of the article is to investigate the relationship between
traditional project management (TPM) and modern project management (MPM), with a …
traditional project management (TPM) and modern project management (MPM), with a …
The use of knowledge-based engineering systems and artificial intelligence in product development: a snapshot
Beside the creative activities in product development, the design process involves multiple
routine tasks that are subject to automation. Techniques like knowledge-based engineering …
routine tasks that are subject to automation. Techniques like knowledge-based engineering …
Predicting digital product performance with team composition features derived from a graph network
This paper examines video games, a form of digital innovation, and seeks to predict a
success-ful game based on the composition of game development team members. Team …
success-ful game based on the composition of game development team members. Team …
Success evaluation model for project management
R Doskočil, S Škapa, P Olšová - 2016 - otik.uk.zcu.cz
The article presents an expert fuzzy model for evaluation of the project success rate. The
model is implemented with the use of fuzzy logic. First, fundamental theoretical principles …
model is implemented with the use of fuzzy logic. First, fundamental theoretical principles …
The level of use of project management methods, techniques and tools and their impact on project success-selected region of Czech Republic
R Doskočil - Periodica Polytechnica Social and Management …, 2016 - pp.bme.hu
The paper deals with the issue of project modelling, specifically with the practical use of
methods, techniques and tools of project management in relation to its success. The aim of …
methods, techniques and tools of project management in relation to its success. The aim of …
[PDF][PDF] Portfolio selection of new product projects: a product reliability perspective
M Relich - Eksploatacja i Niezawodność, 2016 - bibliotekanauki.pl
Portfolio selection of new product development projects is one of the most important
decisions in an enterprise that impact future business profits, competitiveness and survival …
decisions in an enterprise that impact future business profits, competitiveness and survival …
Computational intelligence for estimating cost of new product development
M Relich - Foundations of Management, 2016 - sciendo.com
This paper is concerned with estimating cost of various new product development phases
with the use of computational intelligence techniques such as neural networks and fuzzy …
with the use of computational intelligence techniques such as neural networks and fuzzy …