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Operations Research and Management Quantitative Methods for Planning and Decision-Making in Business and Economics

Title
Operations Research and Management [electronic resource] : Quantitative Methods for Planning and Decision-Making in Business and Economics / edited by Franz W. Peren, Thomas Neifer.
ISBN
9783031472060
Edition
1st ed. 2024.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Physical Description
1 online resource (XV, 270 p.) 118 illus., 78 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This textbook introduces quantitative methods in operations management, based on operational research. Written for undergraduate and graduate students as well as practitioners, this book serves as a valuable compendium of essential tools for project planning, control, and strategic decision-making. Drawing from the expertise of both experienced scientists and seasoned practical managers, the descriptions of each tool are a harmonious blend of theoretical insights and real-world applicability. With a focus on accessibility, the authors have thoughtfully combined abstract concepts with easy-to-follow examples and detailed case studies. Readers will benefit from the abundance of well-explained recommendations and practical problem-solving approaches, where the book offers guidance on how to solve presented issues by using commercial software. Whether one seeks to refine project management, optimize operations, or make strategic choices, this book equips readers with the knowledge and proficiency required to excel in the dynamic field of operations management.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
January 23, 2024
Series
Springer Texts in Business and Economics,
Springer Texts in Business and Economics,
Contents
Linear Optimization and Heuristics: K. Völker, M. Hümmer:The Decision Tree Procedure
F. W. Peren: Linear Optimization
K. M. Kroth: Cutting and Packaging Optimization
M. Adolphs, S. Feistner, V. Jahnke: Queueing Theory
T. Neifer, F. W. Peren: Sequencing Problems
T. Neifer: Regression Analysis Using Dummy Variables
L. Schwarzbach, R. Schmitt: Heuristic Methods
Simulation: A. Wachholz, R. Malzew: Simulation Processes in Business and Economics: Fundamentals of the Monte Carlo Simulation
T. Neifer: Markov Chain Monte Carlo Methods
Nonlinear Optimization: F. W. Peren: Nonlinear Optimization: The Nelder-Mead Simlex Search Procedure
T. Neifer, D. Lawo: Dynamic Programming
Project Management: M. Krebs: Network Analysis Method
R. Clement, F. W. Peren: Peren-Clement Index (PCI)
The Peren Theorem. .
Also listed under
Peren, Franz W. editor.
Neifer, Thomas. editor.
SpringerLink (Online service)
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