The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
From Dashboards to Decisions: Prescriptive Agentic Supply Chain Control Towers
Abstract
Control towers have matured from descriptive dashboards into prescriptive, agentic decision systems that sense, understand, decide, act, and learn across multi-enterprise networks. By combining streaming data fabrics, digital twins, graph/causal forecasting, optimization and reinforcement learning, and multi-agent coordination, modern control towers close the loop from prediction to execution with adjustable autonomy and safety guardrails. Control towers have matured from descriptive dashboards into prescriptive, agentic decision systems that sense, understand, decide, act, and learn across multi-enterprise networks. By combining streaming data fabrics, digital twins, graph/causal forecasting, optimization and reinforcement learning, and multi-agent coordination, modern control towers close the loop from prediction to execution with adjustable autonomy and safety guardrails.
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|