[HTML][HTML] Artificial intelligence in open innovation project management: A systematic literature review on technologies, applications, and integration requirements

ML Prasetyo, RA Peranginangin, N Martinovic… - Journal of Open …, 2024 - Elsevier
This study aims to provide insights to support organizations in building effective strategies
for adopting Artificial Intelligence (AI) and improving project management processes. It …

Proposal of a facilitating methodology for fuzzy FMEA implementation with application in process risk analysis in the aeronautical sector

BA Resende, FG Dedini, JJ Eckert… - International Journal of …, 2024 - emerald.com
Purpose This study aims to propose a facilitating methodology for the application of Fuzzy
FMEA (Failure Mode and Effect Analysis), comparing the traditional approach with fuzzy …

Applying machine learning and particle swarm optimization for predictive modeling and cost optimization in construction project management

B almahameed, M Bisharah - Asian Journal of Civil Engineering, 2024 - Springer
The process of cost optimization in construction projects entails the systematic reduction of
expenses and the maximization of value through the efficient management of resources …

A novel decision support system for proactive risk management in healthcare based on fuzzy inference, neural network and support vector machine

A En-Naaoui, M Kaicer, A Aguezzoul - International Journal of Medical …, 2024 - Elsevier
Background The nature of activities practiced in healthcare organizations makes risk
management the most crucial issue for decision-makers, especially in develo** countries …

A social network analysis-based model for failure mode and effect analysis under linguistic preference relation environment

J Huang, W Guo, H Shi, HC Liu - Engineering Applications of Artificial …, 2023 - Elsevier
Failure mode and effect analysis (FMEA) is a proactive risk analysis technique widely used
to improve the reliability and safety of complex systems in various industries. Generally …

Enterprise risk management in supply chain operation: a fuzzy risk prioritization approach

S Mukherjee, A De, S Roy - Benchmarking: An International Journal, 2024 - emerald.com
Purpose Traditional risk prioritization methods in Enterprise Risk Management (ERM) rely
on precise data, which is often not available in real-world contexts. This study addresses the …

AI model for analyzing construction litigation precedents to support decision-making

W Seo, Y Kang - Automation in Construction, 2024 - Elsevier
Litigation among stakeholders in construction projects has a significantly negative impact on
successful project completion and overall performance. Prompt decision-making in relation …

Integrating large language models for improved failure mode and effects analysis (FMEA): a framework and case study

I El Hassani, T Masrour, N Kourouma… - Proceedings of the …, 2024 - cambridge.org
The manual execution of failure mode and effects analysis (FMEA) is time-consuming and
error-prone. This article presents an approach in which large language models (LLMs) are …

Requirement engineering and project performance: mediating effect of communication effectiveness, change readiness, stakeholder engagement and moderating …

JA Turi, S Al Kharusi, MG Khwaja… - Engineering …, 2024 - emerald.com
Purpose This study aims to investigate the influence of requirement engineering (RE) on
project performance (PP) in the context of NEOM* in Saudi Arabia. The study also aims to …

A new approach to risk assessment in failure mode and effect analysis based on engineering textual data

W Song, J Zheng - Quality Engineering, 2024 - Taylor & Francis
Abstract Failure Mode and Effect Analysis (FMEA) is a valuable tool for improving the quality
of products and service systems. However, traditional FMEA methods require examining …