The role of data visibility in the control and automation of modern Supply Chains: A Model Predictive Control case study in Ferrari

Nowadays many companies still conceive their logistic operations as a simple material replenishment of the production plants and do not invest money and time in projects to structure their Supply Chain and bring more eciency to the production process. In addition, the high complexity of the automotive industry and the emerging uncertainties that...

Data Driven Health & Safety Management: Leveraging Real Time Data Management to Improve Health & Safety Environment on Construction Sites

The construction industry has always been plagued with a high number of accidents and fatalities. The Dutch construction is not an exception in this case and had the highest percentage of workplace accidents among all industries in the national economy, in the year 2019. The high number of accidents and resulting fatalities can be attributed to...

Enabling FPGA Memory Management for Big Data Applications Using Fletcher

vailability of FPGAs is increasing due to cloud service offerings. In the wake of a new in-memory storage format specification, Apache Arrow, FPGAs are increasingly interesting for data processing acceleration in the big data domain. The Fletcher framework can be used to easily develop FPGA accelerated applications that access data stored in...

Data-driven Business Model for a breakthrough technological product

<b>Problem:</b> Lack of Water Sanitation is a global problem due to the experiment-based research required in its field, hindering scientific progress. Commercializing breakthrough technologies in Water Sanitation into the market is uncertain and there comes a requirement to design to appropriate business models. The emergence of Big Data has...

'From data to value': in real estate investment management

‘Real estate is the largest asset class in the world’ as stated by Harvard business school Professor Arthur Segel. It is also unbeatable driver of individual wealth and overall economy. But on the other hand, it is one of the most imperfect markets, due to the lack of accessibility to valuable information in the limited time of decision making...

Using Big Data analysis to model vessel demand: The case of Crew Transfer Vessel demand for crew transfer operations in the offshore wind industry

Problem statement - Damen Shipyards (Damen) wants to use Big Data analysis to gain new market insights and forecast vessel demand. These insights are valuable because Damen keeps standardised vessels in stock in order to significantly reduce delivery times. This concept gives Damen a competitive advantage, but is not without risk since they must...

New Data Sources in Road Infrastructure Management: A game-based experiment into the effects of new data sources on condition assessment and decision-making within the operations and maintenance phase of asphalt paved road infrastructures

Professionals in the Operations and Maintenance phase of national road <br/>infrastructure projects are making decisions with large consequences based on low frequency measurements and subjectivity prone expert observations. A solution is expected in sensor innovations, IoT and User Generated Data to generate more frequent measurements and less...

Big Data Visualization and Context Management

This thesis explores different perspectives on the added value of data and data visualizations in context management practices and argues that organizations can have a valuable role in the space between bottom-up and top-down approaches, as individuals’ lack of control over a context becomes an opportunity for encouragement of a sense of...

Customer analytics maturity of Dutch SME finance banks: Designing a maturity assessment framework for customer analytics implementation at the Small and Medium-sized Enterprises finance banks in the Netherlands

Big data has become an important issue for the SME financial sector. The amount of data stored by banks is expanding and growing fast. These trends provide SME finance banks with a huge opportunity to enhance their businesses. Combining predictive analytics with automatic decision making, popularly known as customer analytics, makes it possible...