Essentials of Inventory Management
by Max Muller
Inventory Best Practices
by Steven M. Bragg
Inventory Best Practices, Second Edition offers thelatest and most important information on advanced techniques andstrategies to improve on the accuracy of all ongoing inventories,configure a warehouse for optimum counting efficiencies, andmore.
- Explains the difference between different types of distressedmerchandise for disposal purposes
- Shows how to maximize the efficiency of inventory trackingsystems by shifting selected inventory items into floor stock
- Examines inventory picking, storage, transactions as well aswarehouse layouts, and inventory measurement
Inventory Best Practices, Second Edition will not onlyshow professionals how to cut their business costs but willdemonstrate how to optimize their company’s effectiveness aswell.
by John W. Toomey
Each chapter concludes with a case study and suggested solution. The case studies tell the story of a growing company, Smith Industries, and the related inventory management problems it had to address. The problems addressed relate to the subject matter of the chapter.
Principles of Inventory Management
by John A. Muckstadt, Amar Sapra
Inventories are prevalent everywhere in the commercial world, whether it be in retail stores, manufacturing facilities, government stockpile material, Federal Reserve banks, or even your own household. This textbook examines basic mathematical techniques used to sufficiently manage inventories by using various computational methods and mathematical models. Such models discussed include: EOQ model and extensions, power-of-two models, single and multi-period models, probabilistic lot sizing models, multi-echelon stochastic models, Laplace and Normal demand models, exact Poisson model, and many more.
Principles of Inventory Management begins with an introductory chapter in which the basics of inventory systems and mathematical assumptions for all models are grouped together. The text is presented in a way such that each section can be read independently, and so the order in which the reader approaches the book can be inconsequential. It contains both deterministic and stochastic models along with algorithms that can be employed to find solutions to a variety of inventory control problems.
Key topics include:
* Economic order quantity (EOQ) model
* Power-of-two policies
* Dynamic lot sizing
* Single and multi-period stochastic models
* Echelon-based approaches
* Multi-echelon systems
* Single and multi-item models
With exercises at the end of each chapter and a clear, systematic exposition, this textbook will appeal to advanced undergraduate and first-year graduate students in operations research, industrial engineering, and quantitative MBA programs. It also serves as a reference for professionals in both industry and government worlds. The prerequisite courses include introductory optimization methods, probability theory (non-measure theoretic), and stochastic processes.