Small and medium-sized production companies face many challenges in decision making about planning, maintenance, and other operational processes due to challenges of high variety in customer demand, configurations of the production processes, technologies used and so on. Operation Digital Twinning is …

Analyzing historical decision-related data can help support actual operational decision-making processes. Decision mining can be employed for such analysis. This paper proposes the Decision Discovery Framework (DDF) designed to develop, adapt, or select a decision discovery algorithm by outlining specific …

Heritage organizations, particularly libraries, prioritize digitization as part of the global Digital Transformation for preservation and accessibility. However, this focus can sometimes overshadow Human Sustainability, which is crucial for preserving and enhancing human resources within the organization. …

This document provides a comprehensive justification for the internalization of SEO processes aimed at enhancing operational efficiency and client satisfaction. The current reliance on outsourced SEO services has led to inconsistencies in service delivery, communication gaps, and a lack of standardized …

Fire fighters operate in a dangerous, dynamic, and complex environment. Artificial Intelligence (AI) systems can contribute to improve fire fighters’ situation awareness and decision-making. However, the introduction of AI systems needs to be done responsibly, taking (human) values into account, especially …

Autonomous freight transport is becoming an increasingly relevant topic in transport and logistics. Maritime Autonomous Surface Ships (or MASS) can sail to varying degrees of autonomy, making “smart” shipping possible and sailing with fewer or even full crew members. MASS is intended to enable shipping …

This study introduces a novel methodology for the post-analysis of operational predictability by leveraging timestamps collected through the Airport Collaborative Decision Making (A-CDM) framework. Focusing on the start-up and departure phases, the analysis highlights the importance of accurately planning …

Estimating the remaining useful life (RUL) of an asset lies at the heart of prognostics and health management (PHM) of many operations-critical industries such as aviation. Mod- ern methods of RUL estimation adopt techniques from deep learning (DL). However, most of these contemporary tech- niques deliver …

This thesis provides an answer to the question if the International Council for the Exploration of the Sea (ICES) does fulfil its own objective of supporting Ecosystem-based management by producing Ecosystem Overviews as advice. Against the background of ongoing changes and pressures on the ecosystem, …

SME production companies producing high variety/low volume discrete products face challenging customer demands. These result in complex planning issues due to the tension between optimizing a low volume flow and optimizing efficiency parameters. Current planning and control systems do not support this …