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Persistent link: https://www.econbiz.de/10014266367
Purpose: Traffic volume in empty container depots has been highly volatile due to external factors. Forecasting the expected container truck traffic along with having a dynamic module to foresee the future workload plays a critical role in improving the work efficiency. This paper studies the...
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Accounting profession is traditional profession and accounting rules and principles have been established and are the same for many years. However, globalization of business, stronger regulations and numerous technological solutions and innovations are not bypassing the accounting profession...
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Purpose: This analysis aims to propose a reference model that could support companies in the implementation of a Blockchain-based initiative in their supply chain. This research identifies the sequential phases for the introduction of a Blockchain solution in an effective way. Furthermore,...
Persistent link: https://www.econbiz.de/10012744702
Purpose: While the transportation sector enters a new phase of digital transformation, Distributed Ledger Technologies brought a new paradigm in the design of IS with numerous pilot-cases in logistics. Despite the various benefits (e.g., security, availability) little is empirically known about...
Persistent link: https://www.econbiz.de/10012744730
Purpose: Dangerous goods shipments require special labeling, which has to be checked manually every time a shipment is handed over in the supply chain. We describe an AI-based detection methodology to automate the recognition of dangerous goods labels and other shipment features (such as single...
Persistent link: https://www.econbiz.de/10012744759
Purpose: Additive manufacturing (AM) enables the manufacturing of metal parts and is therefore increasingly important for industry. Unfortunately, the manufactured parts exhibit many imperfections, such as faults or other quality defects. The use of artificial intelligence (AI) allows for the...
Persistent link: https://www.econbiz.de/10012744760
Purpose: Especially in supply chain management (SCM), data has become essential to the success of companies. Traditional analytical methods are being augmented by machine learning (ML), which is considered the foremost relevant branch of artificial intelligence. This article maps various ML...
Persistent link: https://www.econbiz.de/10012744766