Resource Allocation Study
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Managing the Resource Allocation Process
Presents an examination of strategic investment from the viewpoint of the people who run the company - the CEO and principal officers. This title includes four case histories that follow specific investment projects from their inception to their approval by top management.
Resource Allocation Study
Resource Allocation Study investigates the crucial link between school funding, resource distribution, and student achievement, addressing whether current systems provide equitable opportunities for all students. The book examines both the fairness of resource allocation across different schools and student populations (equity) and how effectively schools use their resources to improve student outcomes (efficiency). Understanding these aspects is vital for developing strategies to enhance educational outcomes. The study argues that equitable and efficient resource allocation is essential for closing achievement gaps. It challenges the idea that simply increasing funding is sufficient, advocating for targeted resource allocation to address specific school and student needs. Presenting evidence from fiscal reports, achievement data, and case studies, the book progresses from defining key terms and outlining the history of school finance policies to analyzing resource inputs and their impact on educational processes. Finally, the book synthesizes findings and offers policy recommendations for promoting greater equity and efficiency in school resource allocation. This approach provides a framework for analyzing resource allocation decisions applicable from individual schools to entire states, making it a valuable resource for educational researchers, policymakers, and school administrators.
Optimal Resource Allocation
A UNIQUE ENGINEERING AND STATISTICAL APPROACH TO OPTIMAL RESOURCE ALLOCATION Optimal Resource Allocation: With Practical Statistical Applications and Theory features the application of probabilistic and statistical methods used in reliability engineering during the different phases of life cycles of technical systems. Bridging the gap between reliability engineering and applied mathematics, the book outlines different approaches to optimal resource allocation and various applications of models and algorithms for solving real-world problems. In addition, the fundamental background on optimization theory and various illustrative numerical examples are provided. The book also features: An overview of various approaches to optimal resource allocation, from classical Lagrange methods to modern algorithms based on ideas of evolution in biology Numerous exercises and case studies from a variety of areas, including communications, transportation, energy transmission, and counterterrorism protection The applied methods of optimization with various methods of optimal redundancy problem solutions as well as the numerical examples and statistical methods needed to solve the problems Practical thoughts, opinions, and judgments on real-world applications of reliability theory and solves practical problems using mathematical models and algorithms Optimal Resource Allocation is a must-have guide for electrical, mechanical, and reliability engineers dealing with engineering design and optimal reliability problems. In addition, the book is excellent for graduate and PhD-level courses in reliability theory and optimization.