Periodic Review Inventory Systems

Periodic Review Inventory Systems

Author: Thomas Wensing

Publisher: Springer Science & Business Media

Published: 2011-06-26

Total Pages: 159

ISBN-13: 3642204791

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The focus of the work is twofold. First, it provides an introduction into fundamental structural and behavioral aspects of periodic review inventory systems. Second, it includes a comprehensive study on analytical and optimization aspects of a specific class of those systems. For the latter purpose, general solution methods for problems of inventory management in discrete time are described and developed along with highly specialized methods to solve very specific problems related to the model variants examined. The work is thus addressed to students and practitioners who seek a deeper understanding of managing inventories in discrete time as well as to software developers who require implementation aids on specific problems of inventory management.


Principles of Inventory Management

Principles of Inventory Management

Author: John A. Muckstadt

Publisher: Springer Science & Business Media

Published: 2010-03-20

Total Pages: 339

ISBN-13: 0387689486

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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. 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. 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.


Optimal Control and Optimization of Stochastic Supply Chain Systems

Optimal Control and Optimization of Stochastic Supply Chain Systems

Author: Dong-Ping Song

Publisher: Springer Science & Business Media

Published: 2012-11-29

Total Pages: 282

ISBN-13: 1447147243

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Optimal Control and Optimization of Stochastic Supply Chain Systems examines its subject the context of the presence of a variety of uncertainties. Numerous examples with intuitive illustrations and tables are provided, to demonstrate the structural characteristics of the optimal control policies in various stochastic supply chains and to show how to make use of these characteristics to construct easy-to-operate sub-optimal policies. In Part I, a general introduction to stochastic supply chain systems is provided. Analytical models for various stochastic supply chain systems are formulated and analysed in Part II. In Part III the structural knowledge of the optimal control policies obtained in Part II is utilized to construct easy-to-operate sub-optimal control policies for various stochastic supply chain systems accordingly. Finally, Part IV discusses the optimisation of threshold-type control policies and their robustness. A key feature of the book is its tying together of the complex analytical models produced by the requirements of operational practice, and the simple solutions needed for implementation. The analytical models and theoretical analysis propounded in this monograph will be of benefit to academic researchers and graduate students looking at logistics and supply chain management from standpoints in operations research or industrial, manufacturing, or control engineering. The practical tools and solutions and the qualitative insights into the ideas underlying functional supply chain systems will be of similar use to readers from more industrially-based backgrounds.


ECAI 2008

ECAI 2008

Author: European Coordinating Committee for Artificial Intelligence

Publisher: IOS Press

Published: 2008

Total Pages: 972

ISBN-13: 1586038915

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Includes subconference "Prestigious Applications of Intelligent Systems (PAIS 2008)."


Variants of Evolutionary Algorithms for Real-World Applications

Variants of Evolutionary Algorithms for Real-World Applications

Author: Raymond Chiong

Publisher: Springer Science & Business Media

Published: 2011-11-13

Total Pages: 470

ISBN-13: 3642234240

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Evolutionary Algorithms (EAs) are population-based, stochastic search algorithms that mimic natural evolution. Due to their ability to find excellent solutions for conventionally hard and dynamic problems within acceptable time, EAs have attracted interest from many researchers and practitioners in recent years. This book “Variants of Evolutionary Algorithms for Real-World Applications” aims to promote the practitioner’s view on EAs by providing a comprehensive discussion of how EAs can be adapted to the requirements of various applications in the real-world domains. It comprises 14 chapters, including an introductory chapter re-visiting the fundamental question of what an EA is and other chapters addressing a range of real-world problems such as production process planning, inventory system and supply chain network optimisation, task-based jobs assignment, planning for CNC-based work piece construction, mechanical/ship design tasks that involve runtime-intense simulations, data mining for the prediction of soil properties, automated tissue classification for MRI images, and database query optimisation, among others. These chapters demonstrate how different types of problems can be successfully solved using variants of EAs and how the solution approaches are constructed, in a way that can be understood and reproduced with little prior knowledge on optimisation.


Management Science

Management Science

Author:

Publisher:

Published: 2004-11

Total Pages: 468

ISBN-13:

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Issues for Feb. 1965-Aug. 1967 include Bulletin of the Institute of Management Sciences.


Optimal Inventory Control and Management Techniques

Optimal Inventory Control and Management Techniques

Author: Mittal, Mandeep

Publisher: IGI Global

Published: 2016-03-29

Total Pages: 424

ISBN-13: 1466698896

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Stock management and control is a critical element to the success and overall financial well-being of an organization. Through the application of innovative practices and technology, businesses are now able to effectively monitor their operations and manage their inventory by evaluating sales patterns and customer preferences. Optimal Inventory Control and Management Techniques explores emergent research in stock management and product control within organizations. Featuring diverse perspectives on the implementation of various optimization techniques, genetic algorithms, and datamining concepts, as well as research on big data applications for inventory management, this publication is a comprehensive reference source for practitioners, educators, and researchers in the fields of logistics, operations management, and retail management.


On Replenishment Rules, Forecasting, and the Bullwhip Effect in Supply Chains

On Replenishment Rules, Forecasting, and the Bullwhip Effect in Supply Chains

Author: Stephen M. Disney

Publisher: Now Publishers Inc

Published: 2008

Total Pages: 95

ISBN-13: 1601981325

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In this review we focus on supply coordination and use the bullwhip effect as the key example of supply chain inefficiency. We emphasize the managerial relevance of the bullwhip effect and the methodological issues so that both managers and researchers can benefit.