Model Based Definition in shipbuilding. Improving the information flow of the secondary steel process in shipbuilding with the use of Model Based Definition: A design science approach.

Digitalization helps companies to become more efficient, therefore new developments should be followed closely. One of these developments is the use of 3D models. An increasing amount of information can be processed by the 3D models. This research will look into one of these developments: Model Based Definition. With Model Based Definition (MBD)...

Towards the Optimal Inventory Review Intervals: A simulation study into the effect of inventory review intervals on the supply chain performance of a single-product company

Inventory management is one of the cornerstones of supply chain management as inventory consists of a key contributor in all supply chains. In the supply chain sector, many inventory management-related problems have been broadly investigated and discussed over the years. It is of great importance for the supply chain of a company to make proper...

Vertical Collaboration in a Two-Level Supply Chain: An Agent-Based Modeling Approach

Collaboration in the supply chain is nowadays seen in the scientific community as the “next best thing” in supply chain optimization (Ballot, 2015; Barratt & Oliveira, 2001; Barratt, 2004; Ireland & Bruce, 2000). Although widely investigated and often mentioned in literature, the concept of supply chain collaboration is not precisely defined ...

Attack pattern ontology: A common language for attack information sharing between organizations

Cyber attack nowadays is increasingly being reported. Defenders need a good understanding of attacker’s perspective in order to accurately anticipate threats and effectively mitigate attacks. This understanding can be obtained through sharing attack pattern. However, in the existing researches the consideration about information sharing is not...

Towards Meaningful and Valuable Data Mining Results in Organizations: Developing a framework for data mining that facilitates interaction between decision makers and data scientists to successfully apply data mining in a business context

Data mining is more and more applied in organizations, but often fails to realize its full potential. It delivers too many results, and not all results are useful for the organization. Moreover, by applying DM in organizations, the interface between data mining and decision making has to be crossed. This report presents a framework to apply data...

Opportunities for peak shaving electricity consumption at container terminals

The throughput of containers is growing yearly (World Shipping Council, 2011). At the same time the capacity of containerships has grown from several hundreds of containers in the 1960s towards today’s 19,000 TEU carriers. In order to achieve efficient operations of these large containerships, container carriers require high handling speeds and...

Knowledge Processes Steering Innovation

Purpose This study aims to explore approaches to stimulate innovation at the case company via current knowledge processes analysis to provide best-fit recommendations. Design/Methodology/Approach The study develops a theoretical overview based on the growing stream on knowledge processes in relation to innovation. The research features a case...

Continuous Risk Management of Customers, Application at the ING Arrears Department

Continuous Risk Management (CRM) is a practice in which there is a continuous assessment of the risks that exist or could arise. In addition, in CRM it is determined which risks have priority to be dealt with and strategies are considered that could be implemented to deal with the risks. This thesis demonstrates how CRM of (mortgage) customers...

The decision support environment for energy transition: What are the benefits of combining a qualitative serious game and a quantitative decision support tool in order to provide necessary insights for the key stakeholders?

This research proposes a decision support environment to assist the main stakeholders (The Municipality, Consumers, Network operators, Energy providers and Technology enablers) during the energy transition decision making process at city level. The research is a part of the TRANSFORM project’s work package three. The TRANSFORM project develops a...

The air cargo supply chain at Schiphol, process improvement and collaboration

Schiphol, the main airport of the Netherlands, wants to be Europe’s preferred cargo airport. To reach this status, Schiphol has to offer a good infrastructure and high quality processes. Schiphol has no active role in these processes, but is dependent on third parties. Schiphol suffers from inefficiencies in the air cargo supply chain. A symptom...

Business Process Simulation Under Deep Uncertainty: Cas study at ING Arrears Management

Organizations are in ever changing environments which results in the need for constant adaptation of business processes and structures. Continuous business process improvements can result in cost savings as well as higher efficiency and effectiveness. In some cases business process improvements can be realized through experience and competent...

Development of a Framework and Service Design for Off-Terminal Check-In and Baggage Drop-off Services for Amsterdam Airport Schiphol

Problem description Schiphol is experiencing a growth in the amount of passengers travelling via the airport. In 2011, 50,9 million passenger made use of Schiphol airport. In 2025 this is expected to be 70 million passengers. This will become a terminal capacity problem for Schiphol. Not only in the long term capacity problems exist, but already...

Air Cargo Handling Demand Forecasting; 'As a support tool for short-term decision on manpower deployment at World Port'

KLM Cargo would like to improve short-term resource scheduling at their World Port cargo handling terminal, in order to increase both quality and efficiency of their service. Forecasts of air cargo demand could support decisions on manpower deployment. This thesis contains a forecast comparison study for short-term forecasts of the amount of...

Deployment of distributed generation: Using agent-based modeling to explore the relationship between social and environmental criteria on uptake

Technical, social and environmental developments are driving energy system stakeholders to reexamine how their energy needs are met. The conventional method of building large centralized generators to meet a community's energy needs is being questioned as smaller energy sources become more efficient and economical. These smaller sources,...