Showing 1 - 10 of 19
Persistent link: https://www.econbiz.de/10009655603
Purpose: While simulation-based optimization has been discussed in theory and practically employed at container terminals, the different publications in this field have not yet been presented and compared in a structured manner. This paper gathers the latest developments and examine the...
Persistent link: https://www.econbiz.de/10012158296
Purpose: Truck appointment systems (TAS) are a reliable method for seaport container terminals to reduce peaks in truck arrivals. Thereby, the operation costs for terminals and the waiting times for trucking companies are reduced. The focus of this study is to optimize TAS by analyzing and...
Persistent link: https://www.econbiz.de/10012158299
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Purpose: As maritime digitalization progresses, great opportunities for maritime transport arise: the introduction of the AIS opened up a number of possibilities and perspectives for increasing efficiency, automation and cost reduction using business analytics and machine learning in the supply...
Persistent link: https://www.econbiz.de/10012158330
Persistent link: https://www.econbiz.de/10012158331
The goal of this paper is to provide researchers and practitioners with the required guidance to achieve a better assessment of the sustainability-related performance of an organization and its supply chain (SC). In order to achieve this, standards and guidelines covering three sustainability...
Persistent link: https://www.econbiz.de/10011902110
Fourth Industrial Revolution or Industry 4.0 denotes a fundamental change on how production and business in general is perceived and organized. This paper questions the role of logistics within this context and raises a claim for a central role in future. It is a revision of a current position...
Persistent link: https://www.econbiz.de/10011902119
Supported by ever-increasing amounts of data and maturing technologies, big data analytics offers viable, promising improvements for various fields and applications. Supply chain analytics (SCA), the application of big data analytics to supply chain management, can enhance and innovate supply...
Persistent link: https://www.econbiz.de/10014542154
This research article aims to identify sustainability performance indicators (SPIs) and provide practical guidance for assessing organizations and their supply chains' sustainability-related performances. We conducted a systematic literature review to analyze scientific journal articles related...
Persistent link: https://www.econbiz.de/10014542203