Predictive and Prescriptive Analytics toward Passenger-centric Ground Delay Programs

2020 ◽  
Author(s):  
Alexandre Jacquillat
Keyword(s):  
Prescriptive Analytics ◽  
Ground Delay

Contingencies and Cancellations in Ground Delay Programs

2002 ◽  
Vol 10 (1) ◽  
pp. 43-64 ◽  
Author(s):  
Thomas R. Willemain
Keyword(s):  
Ground Delay

Procurement Analytics: Enabling Data Architectures in the Age of Big Data

2020 ◽  
Author(s):  
Michael Goul ◽  
T. S. Raghu ◽  
Ziru Li
Keyword(s):  
Big Data ◽  
Academic Research ◽  
Research Literature ◽  
Structured Interviews ◽  
Data Space ◽  
Prescriptive Analytics ◽  
Data Architecture ◽  
The Future ◽  
High Level ◽  
Area Data

As procurement organizations increasingly move from a cost-and-efficiency emphasis to a profit-and-growth emphasis, flexible data architecture will become an integral part of a procurement analytics strategy. It is therefore imperative for procurement leaders to understand and address digitization trends in supply chains and to develop strategies to create robust data architecture and analytics strategies for the future. This chapter assesses and examines the ways companies can organize their procurement data architectures in the big data space to mitigate current limitations and to lay foundations for the discovery of new insights. It sets out to understand and define the levels of maturity in procurement organizations as they pertain to the capture, curation, exploitation, and management of procurement data. The chapter then develops a framework for articulating the value proposition of moving between maturity levels and examines what the future entails for companies with mature data architectures. In addition to surveying the practitioner and academic research literature on procurement data analytics, the chapter presents detailed and structured interviews with over fifteen procurement experts from companies around the globe. The chapter finds several important and useful strategies that have helped procurement organizations design strategic roadmaps for the development of robust data architectures. It then further identifies four archetype procurement area data architecture contexts. In addition, this chapter details exemplary high-level mature data architecture for each archetype and examines the critical assumptions underlying each one. Data architectures built for the future need a design approach that supports both descriptive and real-time, prescriptive analytics.

Reallocating arrival slots during a ground delay program

2008 ◽  
Vol 42 (2) ◽  
pp. 113-134 ◽  
Author(s):  
Jonathan F. Bard ◽  
Dinesh Natarajan Mohan
Keyword(s):  
Ground Delay Program ◽  
Ground Delay

Matchings in connection with ground delay program planning

Networks ◽  
2008 ◽  
Vol 53 (3) ◽  
pp. 293-306 ◽  
Author(s):  
Michael Ball ◽  
Geir Dahl ◽  
Thomas Vossen
Keyword(s):  
Program Planning ◽  
Ground Delay Program ◽  
Ground Delay

Prescriptive Analytics Determining Which Patients Undergoing Simultaneous Liver-Kidney Transplant May Benefit From High-Risk Organs

2021 ◽  
Vol 19 (12) ◽  
pp. 1303-1312
Author(s):  
Mohini Dasari ◽  
James D. Perkins ◽  
James B. Hendele ◽  
Nicolae Leca ◽  
Scott W. Biggins ◽  
...  
Keyword(s):  
High Risk ◽  
Kidney Transplant ◽  
Prescriptive Analytics

Product Portfolio Design Using Prescriptive Analytics

2018 ◽  
pp. 584-593 ◽  
Author(s):  
Merle-Hendrikje Jank ◽  
Christian Dölle ◽  
Günther Schuh
Keyword(s):  
Product Portfolio ◽  
Prescriptive Analytics ◽  
Portfolio Design
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