Reliability Forecasting for Simulation-based Workforce Planning

The problem owner of the present study is a consulting company that provides simulation-based workforce planning advice to a big manufacturing firm XYZ. The latter pertains the number of engineers of various skill levels that are needed for the repair of health care equipment in hospitals of a large country. The prediction of machine failures ...

Electricity Supply and Demand Control in a Car as Power Plant Neighborhood: A Agent Based Model

Car as Power Plant (CaPP) neighborhoods are an innovative approach to achieve sustainable, self-sufficient local energy systems. A key component of CaPP systems is a fleet of fuel cell electric vehicles (FCEVs), which provides mobility but also operates as decentralized power plants. The CaPP approach still requires proof of concept, this is...

Using Game Structuring Methods to Assess the Reliability of the Departure Order of Sea-Going Container Ships

Using endpoints process information for malicious behavior detection

In the last years the impact of malware has become a huge problem. Each year, more and more new malware samples are discovered [2]. And the malware is becoming more sophisticated, for example ransomware. Ransomware encrypts personal documents, such as photos and word documents, and asks money to be able to decrypt these files, hence the name....

Decision support framework for opening business data

Open data movement is gaining widespread attention and spans across a variety of sectors (public, private, academic and civil). The last ten years have seen significant progress in opening of access to government datasets (Davies, 2010). This openness of public data has brought several benefits as: great transparency, innovation and the rise of...

A Mixed Method Approach to assess performance of alternatives of ‘inbound to manufacturing transport’ in central procurement at DanTrade.

A mixed method approach is executed to see if it is an adequate analysis method to find the change in performance for the hypothetical implementation of Design Alternatives aiming to increase the transport efficiency in upstream transport. The project concludes that indeed a Mixed Method Approach is a succesful way of finding the organisational...

Towards Real-Time Power Restoration Using a Hybrid Genetic Algorithm

The goal of this project is to use a hybrid genetic algorithm to restore power to a power grid after a blackout by minimising the lost load and number of switches within a reasonable amount of time for power operators. The algorithm was tested on single-fault and multi-fault blackout systems. Based on the simulation results, the performance of...

Scalable model districts for geographic load forecasting in the distribution grid

The electrical peak demand in the Netherlands is likely to increase due to renewable energy technologies, and create a higher load demand for distribution transformers. Two technologies that increase the peak demand are solar-PV and heat pumps, for which the deployment on the distribution grid differs largely between geographical areas. In this...

Modelling security checkpoint performance and staff deployment - Using discrete event simulation to perform a conceptual case study on performance and efficiency of personnel security checkpoints at Amsterdam Airport Schiphol

Amsterdam Airport Schiphol knows security checkpoints for passengers but also for personnel, cargo and vehicles entering the Security Restricted Area - Critical Part. By using a discrete event simulation model, the performance of non-passenger security checkpoints is assessed together with options for improvement of the performance and...

Mitigating Production Uncertainties of Renewables by Adjustable Load Scheduling

In the upcoming years, electricity markets in Europe face numerous challenges both on production and demand side. Due to decreasing investment costs for renewable energy sources (RES) and continuing government support for a transition towards green energy technologies, the market share of uncertain and volatile generation capacity will grow....

Designing a big data software-as-a-service platform adapted for small and medium-sized enterprises

Identified as one of the biggest technological trends for 2013, “big data” will be a major driver for organizations’ technology spending for the years to come. In this thesis we designed a big data software-as-a-service platform and its underlying business model from the platform provider’s perspective. One design cycle has been executed during...

Using Lean Manufacturing to minimize packaging material waste: A case study at Heineken

The practice of lean manufacturing has proven to be a suitable approach to improve productivity and performance in enterprises through reduction of waste. The last decades a global concern for the environment emerged. Thus the reduction of packaging material waste in enterprises results in an enhancement of both operational efficiency and...

Solving the Bullwhip Effect in Supply Networks by incentivizing behaviour through decentralized Forecast Accuracy Discount agreements: A simulation case study within the Supply Chain of the Technische Unie and Legrand Nederland

Current research towards solutions on the Bullwhip Effect have focused mainly on the systemic and operational causes of the Bullwhip Effect, resulting in solutions that require high levels of organizational integration, central coordination and information sharing. However, Such solutions are not always feasible within actual complex Supply...

Mobile Cloud Ecosystems: Evaluating the feasibility and viability of smartphones as a shared resource pool

The increasing ubiquity and capabilities of smartphones provide opportunities to combine their processing power, storage, connectivity and sensors into a shared resource pool for end-users and service providers. This is analogous to the concept of cloud computing, in which cloud computing datacenters provide a shared resource pool. Several...

Capturing Value from Platform-as-a-Service Technology: Platform-as-a-Service Adoption Model for Large Enterprises

Cloud computing market is expected to grow rapidly in the next five years. Even though Software-as-a-Service and Infrastructure-as-a-Service solutions will dominate most of the market, Platform-as-a-Service solution is forecasted to have the fastest-growing segment, especially in Western Europe. On the other hand, cloud computing is also argued...

The contribution of gaming simulation to market model design: A gaming simulation case study to the preferred market model for the charging infrastructure for electric transport in the Netherlands

The charging of electric vehicles is a new market that is emerging, partially from existing markets. The emergence of such new markets requires the definition of new roles and responsibilities. Such a ‘market model’ describes the market roles (e.g. owner, operator etc) in terms of responsibilities and interactions between roles (processes)....