Operations research and management: quantitative methods for planning and decision-making in business and economics

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Material type: Text

TextSeries: Springer Texts in Business and Economics (STBE)Publication details: Springer Cham 2024Description: xv, 270 pISBN:

9783031472053

Subject(s):

DDC classification:

658.4034 PER

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 theknowledge and proficiency required to excel in the dynamic field of operations management. (https://link.springer.com/book/10.1007/978-3-031-47206-0)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	658.4034 PER (Browse shelf(Opens below))	1	Available		007890

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Previous	658.4034 HIL Introduction to operations research	658.4034 MAT Analytics in operations/supply chain management	658.4034 PAN Operations research	658.4034 PER Operations research and management: quantitative methods for planning and decision-making in business and economics	658.4034 PRA Operations research	658.4034 SEN Operations research: algorithms and applications	658.4034 SIN Operations research using excel: a case study approach	Next

Table of contents:
Front Matter
Pages i-xv
Download chapter PDF
Linear Optimization and Heuristics
Front Matter
Pages 1-1
Download chapter PDF
The Decision Tree Procedure
Katharina Völker, Maresa Hümmer
Pages 3-28
Linear Optimization
Franz W. Peren
Pages 29-43
Cutting and Packaging Optimization
Kalvin M. Kroth
Pages 45-67
Queueing Theory
Maximilian Adolphs, Sascha Feistner, Violetta Jahnke
Pages 69-85
Sequencing Problems
Thomas Neifer, Franz W. Peren
Pages 87-103
Regression Analysis Using Dummy Variables
Thomas Neifer
Pages 105-129
Heuristic Methods
Laura Schwarzbach, Ramona Schmitt
Pages 131-154
Simulation
Front Matter
Pages 155-155
Download chapter PDF
Simulation Processes in Business and Economics: Fundamentals of the Monte Carlo Simulation
Alexander Wachholz, Richard Malzew
Pages 157-165
Markov Chain Monte Carlo Methods
Thomas Neifer
Pages 167-183
Nonlinear Optimization
Front Matter
Pages 185-185
Download chapter PDF
Nonlinear Optimization: The Nelder-Mead Simplex Search Procedure
Franz W. Peren
Pages 187-199
Dynamic Programming
Thomas Neifer, Dennis Lawo
Pages 201-213
Project Management
Front Matter
Pages 215-215
Download chapter PDF
Network Analysis Method
Matthias Krebs
Pages 217-236
The Peren-Clement Index
Reiner Clement, Franz W. Peren
Pages 237-264
The Peren Theorem
Franz W. Peren
Pages 265-270

(https://link.springer.com/book/10.1007/978-3-031-47206-0)

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 theknowledge and proficiency required to excel in the dynamic field of operations management.
(https://link.springer.com/book/10.1007/978-3-031-47206-0)

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