Search Results - subject:"Data Science"

Defining the quota of truck appointment systems

Lange, Ann-Kathrin; Kreuz, Felix; Langkau, Sven; Jahn, … - In: Data science in maritime and city logistics : …, (pp. 211-246). 2020

Purpose: Truck appointment systems (TAS) are a widely used method to alleviate peaks in truck arrivals at container terminals in seaports and in the hinterland. One big advantage is the opportunity to reduce operation costs for the terminals and the truck queue length in front of the terminal...

Persistent link: https://www.econbiz.de/10012388630

Energy-efficient supply chain design: data aggregation and processing

Schreiber, Lucas; Jarmer, Jan-Philipp; Kamphues, Josef - In: Data science in maritime and city logistics : …, (pp. 129-155). 2020

Purpose: Due to changing customer requirements and political regulations more and more companies strive to optimize their energy efficiency in regards to products and processes. The optimization of processes within supply chain design (SCD) is one lever in this regard. Since required data is...

Persistent link: https://www.econbiz.de/10012388632

Environmental sustainability in B2C e-commerce: the impact of multiitem shopping

Siragusa, Chiara; Mangiaracina, Riccardo; Tumino, Angela - In: Data science in maritime and city logistics : …, (pp. 71-95). 2020

Purpose: B2C e-commerce is growing worldwide, and a major concern regards its environmental sustainability. Some studies compared the environmental impact of the online and offline purchasing processes, considering the shopping made at one store at a time (e.g. a book bought in a physical store...

Persistent link: https://www.econbiz.de/10012388634

Model transformation framework for scheduling offshore logistics

Rippel, Daniel; Peng, Shengrui; Lütjen, Michael; … - In: Data science in maritime and city logistics : …, (pp. 521-552). 2020

Purpose: Wind energy is a promising technology to produce sustainable energy. While higher wind speeds at sea result in higher energy production, they also impede the installation of wind farms. Several authors proposed optimization- or simulation-based scheduling models. This article provides a...

Persistent link: https://www.econbiz.de/10012388639

Public sustainable transportation planning with service level efficiency: Hamburg case study

Sodachi, Majid; Sahraei, Pardis; Valilai, Omid Fatahi - In: Data science in maritime and city logistics : …, (pp. 97-127). 2020

Purpose: Public transportation in large cities has significant impacts on the environmental, social, and economical perspectives. However, the proper assignment of re-sources in public transportation creates paradoxical challenges since by increasing service level efficiency, the environmental...

Persistent link: https://www.econbiz.de/10012388664

Financing investments in a landlord port

Somorowsky, Carolyn; Haasis, Hans-Dietrich - In: Data science in maritime and city logistics : …, (pp. 409-440). 2020

Purpose: Given of a landlord port model, private operating companies have to invest in superstructure, equipment and labor to maintain and improve the physical and non-physical flow of goods. The purpose of this paper is to examine interdependencies as well as existing collaborative strategies...

Persistent link: https://www.econbiz.de/10012388666

COVID-19 pandemic and financial contagion

Chevallier, Julien - In: Journal of risk and financial management : JRFM 13 (2020) 12/309, pp. 1-25

-management (Value-at-Risk (VaR)) models that relate how bears painted Wall Street red; and, (iii) data-science trees algorithms with …

Persistent link: https://www.econbiz.de/10012392492

The relationship between European Brent crude oil price development and US macroeconomy

Faseli, Omid - 2020

Persistent link: https://www.econbiz.de/10012147412

Trusted decision-making : data governance for creating trust in data science decision outcomes

Brous, Paul; Janssen, Marijn - In: Administrative Sciences : open access journal 10 (2020) 4/81, pp. 1-19

Organizations are increasingly introducing data science initiatives to support decision-making. However, the decision … outcomes of data science initiatives are not always used or adopted by decision-makers, often due to uncertainty about the … means to improve the acceptance of data science decision outcomes. In this paper, propositions will be developed to …

Persistent link: https://www.econbiz.de/10012420981

Data science opportunities at central banks: overview

Krukovets, Dmytro - In: Visnyk Nacionalʹnoho Banku Ukrai͏̈ny (2020) 249, pp. 13-24

Persistent link: https://www.econbiz.de/10012421790