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  • Search: subject:"data driven optimisation"
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Year of publication
Subject
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Data-driven optimisation 3 Mathematical programming 3 Mathematische Optimierung 3 Inventory model 2 Lagerhaltungsmodell 2 Supply chain 2 Auftragsfertigung 1 Bayes-Statistik 1 Bayesian inference 1 Bayesian models 1 Bestandsmanagement 1 Big data 1 Data analytics 1 Data mining 1 Data science 1 Dynamic programming 1 Dynamische Optimierung 1 Forecasting 1 Forecasting model 1 Inventory 1 Inventory management 1 Lagermanagement 1 Lieferkette 1 Logistics 1 Losgröße 1 Lot size 1 Machine learning 1 Make-to-order 1 Management information system 1 Management-Informationssystem 1 Min-max design 1 Multi-criteria analysis 1 Multikriterielle Entscheidungsanalyse 1 Newsvendor problems 1 Pareto optimality 1 Predictive analytics 1 Production planning 1 Produktionsplanung 1 Prognoseverfahren 1 Sales and operations planning 1
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Online availability
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Undetermined 4 Free 1
Type of publication
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Article 5
Type of publication (narrower categories)
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Article in journal 4 Aufsatz in Zeitschrift 4 Article 1
Language
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English 5
Author
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Brandimarte, Paolo 1 Campi, Marco Claudio 1 Carè, Algo 1 Fadda, Edoardo 1 Garatti, Simone 1 Gioia, Daniele Giovanni 1 Heikkinen, Risto 1 Ivanov, Dmitry 1 Jahani, Hamed 1 Jain, Richa 1 Letchford, Adam N. 1 Liu, Congzheng 1 Miettinen, Kaisa 1 Ojalehto, Vesa 1 Sipilä, Juha 1 Svetunkov, Ivan 1
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Published in...
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Annals of Operations Research 1 Computational Management Science : CMS 1 European journal of operational research : EJOR 1 International journal of logistics systems and management : IJLSM 1 International journal of production research 1
Source
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ECONIS (ZBW) 4 EconStor 1
Showing 1 - 5 of 5
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Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research
Jahani, Hamed; Jain, Richa; Ivanov, Dmitry - In: Annals of Operations Research (2023), pp. 1-58
Data science and big data analytics (DS &BDA) methodologies and tools are used extensively in supply chains and logistics (SC &L). However, the existing insights are scattered over different literature sources and there is a lack of a structured and unbiased review methodology to systematise DS...
Persistent link: https://www.econbiz.de/10015168529
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Rolling horizon policies for multi-stage stochastic assemble-to-order problems
Gioia, Daniele Giovanni; Fadda, Edoardo; Brandimarte, Paolo - In: International journal of production research 62 (2024) 14, pp. 5108-5126
Persistent link: https://www.econbiz.de/10014547450
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Flexible data driven inventory management with interactive multi-objective lot size optimisation
Heikkinen, Risto; Sipilä, Juha; Ojalehto, Vesa; … - In: International journal of logistics systems and … 46 (2023) 2, pp. 206-235
Persistent link: https://www.econbiz.de/10014439400
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Newsvendor problems : an integrated method for estimation and optimisation
Liu, Congzheng; Letchford, Adam N.; Svetunkov, Ivan - In: European journal of operational research : EJOR 300 (2022) 2, pp. 590-601
Persistent link: https://www.econbiz.de/10013207279
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The wait-and-judge scenario approach applied to antenna array design
Carè, Algo; Garatti, Simone; Campi, Marco Claudio - In: Computational Management Science : CMS 16 (2019) 3, pp. 481-499
Persistent link: https://www.econbiz.de/10012053149
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