Learning and Optimal Management of Operations: A Paradigm Shift in Efficiency and Productivity

Authors

  • Turganbaeva Ramiza Tolibaevna A student of the Faculty of Mathematics of KSU
  • Qa’llibekov U’mitbek O’serbay uli A student of the Faculty of Mathematics of KSU
  • Abatbaev Rasulbek Nietbay uli A student of the Faculty of Mathematics of KSU
  • Mnajatdinov Atabek Rafatdin uli A student of the Faculty of Mathematics of KSU

Keywords:

Operations Management, Learning, Optimal Management, Machine Learning, Predictive Analytics, Adaptive Strategies, Resource Allocation

Abstract

The realm of operations management has undergone a transformative shift in recent years, driven by advancements in machine learning and optimization techniques. This article delves into the intersection of learning and optimal management of operations, exploring how the integration of these two fields has revolutionized industries and propelled organizations toward unprecedented levels of efficiency and productivity. Through the synergy of data-driven insights, predictive analytics, and adaptive strategies, businesses are now empowered to streamline processes, make informed decisions, and achieve operational excellence like never before.

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Published

2023-08-22

Issue

Vol. 1 No. 6 (2023): Information Horizons: American Journal of Library and Information Science Innovation

Section

Articles

How to Cite

Learning and Optimal Management of Operations: A Paradigm Shift in Efficiency and Productivity. (2023). Information Horizons: American Journal of Library and Information Science Innovation (2993-2777), 1(6), 7-8. https://grnjournal.us.e-scholar.org/index.php/AJLISI/article/view/590