FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World


 Title: Inventory Analytics: A Practicable, PythonDriven Approach
 Author(s) Roberto Rossi
 Publisher: Open Book Publishers (May 31, 2021); eBook (Creative Commons Licensed)
 License(s): CC BY 4.0
 Hardcover/Paperback: 186 pages
 eBook: HTML and PDF
 Language: English
 ISBN10/ASIN: 1800641761
 ISBN13: 9781800641761
 Share This:
Book Description
Inventory Analytics provides a comprehensive and accessible introduction to the theory and practice of Inventory Control – a significant research area central to supply chain planning. The book outlines the foundations of inventory systems and surveys prescriptive analytics models for deterministic inventory control. It further discusses predictive analytics techniques for demand forecasting in inventory control and also examines prescriptive analytics models for stochastic inventory control.
Inventory Analytics is the first book of its kind to adopt a practicable, Pythondriven approach to illustrating theories and concepts via computational examples, with each model covered in the book accompanied by its Python code. Originating as a collection of selfcontained lectures, Inventory Analytics will be an indispensable resource for practitioners, researchers, teachers, and students alike.
About the Authors N/A
 Operations Research (OR), Optimization, etc.
 Computational Simulations and Modeling
 Python Programming
 Financial Mathematics and Engineering
 Inventory Analytics: A Practicable, PythonDriven Approach (Roberto Rossi)
 The Mirror Site (1)  PDF

Modeling and Simulation in Python (Allen B. Downey)
This book is an introduction to physical modeling using a computational approach with Python. You will learn how to use Python to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; etc.

Python for Everybody: Exploring Data in Python 3
This book is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.

Automate the Boring Stuff with Python (Albert Sweigart)
Learn how to use Python to write programs that do in minutes what would take you hours to do by hand  no prior programming experience required. You'll create Python programs that effortlessly perform useful and impressive feats of automation.

Engineering Design Optimization (Joaquim R. Martins, et al)
The philosophy of this book is to provide a detailed enough explanation and analysis of optimization methods so that readers can implement a basic working version. Practical tips are included for common issues encountered in practical engineering design optimization.

Operations Research  the Art of Making Good Decisions
This book is dedicated to operations research of broad applications, it provides a tool for efficient use of natural resources. Both theory and practice of operations research and its related concepts are covered in the book.

Algorithms for Decision Making (Mykel Kochenderfer, et al)
This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them.

Basic Queueing Theory: System Performance Modeling
Queueing Theory is one of the most commonly used mathematical tool for the performance evaluation of systems. The aim of the book is to present the basic methods, approaches in a Markovian level for the analysis of not too complicated systems.

Global Optimization Algorithms  Theory and Application
This book is devoted to global optimization algorithms, which are methods to find optimal solutions for given problems. It especially focuses on Evolutionary Computation by discussing evolutionary algorithms, genetic algorithms, Genetic Programming, etc.

Knapsack Problems: Algorithms and Computer Implementations
The text fully develops an algorithmic approach to Knapsack Problems without losing mathematical rigor. It provides a comprehensive overview of the methods for solving Knapsack Problems (KP), its variants and generalizations.
:






















