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  • Search: subject:"Data-driven analytics"
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Subject
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Cargo loss 2 Data-driven analytics 2 Decision tree 2 Logistics risk management 2 Logistics system 2 data-driven analytics 2 (distributionally) robust optimization 1 Business process management 1 Dienstleistungsmanagement 1 Entscheidungsbaum 1 Gastronomie 1 Logistics 1 Logistics provider 1 Logistik 1 Logistikunternehmen 1 Mathematical programming 1 Mathematische Optimierung 1 Prozessmanagement 1 Restaurant industry 1 Risikomanagement 1 Risk management 1 Robust statistics 1 Robustes Verfahren 1 Service management 1 Stochastic process 1 Stochastischer Prozess 1 Theorie 1 Theory 1 adaptive decision making 1 algebraic modeling package 1 behavioral operations management 1 empirical labor decisions in service operations 1 peer effects 1 people-centric operations 1 restaurant operations 1 scheduling/rostering 1
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Undetermined 4
Type of publication
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Article 4
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 research-article 1
Language
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English 4
Author
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Chen, Mu-Chen 2 Tsau, Chih-Kai 2 Wu, Pei-Ju 2 Chen, Zhi 1 Netessine, Serguei 1 Tan, Tom Fangyun 1 Xiong, Peng 1
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Published in...
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INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences 1 International Journal of Physical Distribution & Logistics Management 1 International journal of physical distribution & logistics management : IJPD & LM 1 Management science : journal of the Institute for Operations Research and the Management Sciences 1
Source
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ECONIS (ZBW) 3 Other ZBW resources 1
Showing 1 - 4 of 4
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RSOME in Python : an open-source package for robust stochastic optimization made easy
Chen, Zhi; Xiong, Peng - In: INFORMS journal on computing : JOC ; charting new … 35 (2023) 4, pp. 717-724
Persistent link: https://www.econbiz.de/10014328059
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When you work with a superman, will you also fly? : an empirical study of the impact of coworkers on performance
Tan, Tom Fangyun; Netessine, Serguei - In: Management science : journal of the Institute for … 65 (2019) 8, pp. 3495-3517
Persistent link: https://www.econbiz.de/10012062645
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The data-driven analytics for investigating cargo loss in logistics systems
Wu, Pei-Ju; Chen, Mu-Chen; Tsau, Chih-Kai - In: International Journal of Physical Distribution & … 47 (2017) 1, pp. 68-83
Purpose Cargo loss has been a major issue in logistics management. However, few studies have tackled the issue of cargo loss severity via business analytics. Hence, the purpose of this paper is to provide guidance about how to retrieve valuable information from logistics data and to develop...
Persistent link: https://www.econbiz.de/10014794456
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The data-driven analytics for investigating cargo loss in logisitics systems
Wu, Pei-Ju; Chen, Mu-Chen; Tsau, Chih-Kai - In: International journal of physical distribution & … 47 (2017) 1, pp. 68-83
Persistent link: https://www.econbiz.de/10011690934
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