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An improved BPNN algorithm based on deep learning technology to analyze the market risks of A+H shares

Wu, Yi; Zhu, Delong; Liu, Zijian; Li, Xin Li - In: Journal of global information management 30 (2022) 7, pp. 1-23

Persistent link: https://www.econbiz.de/10012800063

Fathi, Michel (ed.); Zio, Enrico (ed.); … - 2023

A Stackelberg Game-Theoretic Model of Fee-and-Rebate Pricing in a Load-Reduction Emergency Demand Response Program -- Planning to Incorporate Energy Conservation Practices, Renewable Energy Production Systems, and Eco-friendly Building Design Practices to Support Sustainability in US Public...

Persistent link: https://www.econbiz.de/10014322115

Handbook of Smart Energy Systems

Fathi, Mahdi (ed.); Zio, Enrico (ed.); … - 2021

forecasting of Turkey’s primary energy resources by LR Fuzzy numbered-Multivariate Autoregressive Model -- IoT Integration with …

Persistent link: https://www.econbiz.de/10014227478

Forecasting with Artificial Intelligence : Theory and Applications

Hamoudia, Mohsen (ed.); Makridakis, Spyros G. (ed.); … - 2023

-- Part II. The status of machine learning methods for time series and new products forecasting -- 3. Forecasting with … Forecasting -- Part III. Global forecasting models -- 5. Forecasting in Big Data with Global Forecasting Models -- 6. How to … leverage data for Time Series Forecasting with Artificial Intelligence models: Illustrations and Guidelines for Cross …

Persistent link: https://www.econbiz.de/10014369591

A neural networks approach for cost flow forecasting

Boussabaine, A. H.; Kaka, A. P. - In: Construction Management and Economics 16 (1998) 4, pp. 471-479

using neural networks for predicting the cost flow of construction projects, explains the need for cost flow forecasting …

Persistent link: https://www.econbiz.de/10005438592

Data science and innovation in supply chain management : how data transforms the value chain

Kersten, Wolfgang (ed.); Blecker, Thorsten (ed.); … - Hamburg International Conference of Logistics <2020, … - 2020 - 1st edition

This volume contains research contributions by an international group of authors addressing innovative and technology-based approaches for supply chain management. They present business models and investment options for enhanced strategic decision making as well as recent approaches for supply...

Persistent link: https://www.econbiz.de/10012387153

Product modularization in integrated supply chains : a product life-cycle phase specific concept for effect allocation

Brylowski, Martin; Ludwig, Maximilian; Kersten, Wolfgang; … - In: Data science and innovation in supply chain management …, (pp. 25-76). 2020

Purpose: Product modularization and supply chain integration have establishedthemselves as efficient methods for complexity management, but a holistic view oftheir effects has rarely been studied. For this reason, we demonstrate a conceptwhich presents these effects along the product life-cycle...

Persistent link: https://www.econbiz.de/10012387162

Enhancing B2B supply chain traceability using smart contracts and IoT

Ahmed, Mohamed; Taconet, Chantal; Ould, Mohamed; … - In: Data science and innovation in supply chain management …, (pp. 559-589). 2020

Purpose: The management of B2B supply chains that involve many stakeholders re-quires traceability processes. Those processes need to be secured. Furthermore, quality traceability data has to be transparently shared among the stakeholders. In order to improve the traceability process, we propose...

Persistent link: https://www.econbiz.de/10012387382

Blockchain technology in Germany : an excerpt of real use cases in logistics industry

Bartsch, Devis; Winkler, Herwig - In: Data science and innovation in supply chain management …, (pp. 699-735). 2020

Purpose: Due to the large number of intermediaries in logistics networks there is avariety of possible failures, frictions and waste of time and money among the logisticsprocess chain. With the ability to provide data securely in near real-time, liketrack and tracing data of goods to every...

Persistent link: https://www.econbiz.de/10012387383

Success factors for online food retail logistics

Beckmann, Anne; Kleineidam, Julia; Straube, Frank - In: Data science and innovation in supply chain management …, (pp. 852-873). 2020

Purpose: While e-commerce in general has been growing rapidly for years, food e-commerce is lagging behind in Germany. The common approach of using traditional logistics systems and fulfilment concepts does not lead to long-term success. Con-sidering this problem, success factors are needed as a...

Persistent link: https://www.econbiz.de/10012387384

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