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Author : Craig C. Sherbrooke
Publisher : Unknown
Page : 432 pages
File Size : 53,5 Mb
Release : 2014-01-15
Category : Electronic
ISBN : 1475788509
Author : Craig C. Sherbrooke
Publisher : Unknown
Page : 304 pages
File Size : 53,9 Mb
Release : 1992
Category : Inventory control
ISBN : 0608051632
Most books on inventory theory use the item approach to determine stock levels, ignoring the impact of unit cost, echelon location, and hardware indenture. Optimal Inventory Modeling of Systems is the first book to take the system approach to inventory modeling. The result has been dramatic reductions in the resources to operate many systems - fleets of aircraft, ships, telecommunications networks, electric utilities, and the space station. Although only four chapters and appendices are totally new in this edition, extensive revisions have been made in all chapters, adding numerous worked-out examples. Many new applications have been added including commercial airlines, experience gained during Desert Storm, and adoption of the Windows interface as a standard for personal computer models.
Author : Craig C. Sherbrooke
Publisher : Springer Science & Business Media
Page : 350 pages
File Size : 43,7 Mb
Release : 2006-04-11
Category : Business & Economics
ISBN : 9781402078651
Most books on inventory theory use the item approach to determine stock levels, ignoring the impact of unit cost, echelon location, and hardware indenture. Optimal Inventory Modeling of Systems is the first book to take the system approach to inventory modeling. The result has been dramatic reductions in the resources to operate many systems - fleets of aircraft, ships, telecommunications networks, electric utilities, and the space station. Although only four chapters and appendices are totally new in this edition, extensive revisions have been made in all chapters, adding numerous worked-out examples. Many new applications have been added including commercial airlines, experience gained during Desert Storm, and adoption of the Windows interface as a standard for personal computer models.
Author : Nita H. Shah,Mandeep Mittal
Publisher : Springer Nature
Page : 470 pages
File Size : 52,5 Mb
Release : 2019-08-31
Category : Business & Economics
ISBN : 9789811396984
This book discusses inventory models for determining optimal ordering policies using various optimization techniques, genetic algorithms, and data mining concepts. It also provides sensitivity analyses for the models’ robustness. It presents a collection of mathematical models that deal with real industry scenarios. All mathematical model solutions are provided with the help of various optimization techniques to determine optimal ordering policy. The book offers a range of perspectives on the implementation of optimization techniques, inflation, trade credit financing, fuzzy systems, human error, learning in production, inspection, green supply chains, closed supply chains, reworks, game theory approaches, genetic algorithms, and data mining, as well as research on big data applications for inventory management and control. Starting from deterministic inventory models, the book moves towards advanced inventory models. The content is divided into eight major sections: inventory control and management – inventory models with trade credit financing for imperfect quality items; environmental impact on ordering policies; impact of learning on the supply chain models; EOQ models considering warehousing; optimal ordering policies with data mining and PSO techniques; supply chain models in fuzzy environments; optimal production models for multi-items and multi-retailers; and a marketing model to understand buying behaviour. Given its scope, the book offers a valuable resource for practitioners, instructors, students and researchers alike. It also offers essential insights to help retailers/managers improve business functions and make more accurate and realistic decisions.
Author : Mittal, Mandeep,Shah, Nita H.
Publisher : IGI Global
Page : 406 pages
File Size : 54,8 Mb
Release : 2016-03-29
Category : Business & Economics
ISBN : 9781466698895
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.
Author : Nita H. Shah,Mandeep Mittal,Leopoldo Eduardo Cárdenas-Barrón
Publisher : Springer Nature
Page : 237 pages
File Size : 50,9 Mb
Release : 2021-08-23
Category : Business & Economics
ISBN : 9789811617294
This book provides several inventory models for making the right decision in inventory management under different environments. Basically, the optimal ordering policies are determined for situations with and without shortages in production-inventory systems. The chapters in the book include various features of inventory modeling i.e., inflation, deterioration, supply chain, learning, credit financing, carbon emission policy, stock-dependent demand, among others. The book is a useful resource for academicians, researchers, students, practitioners, and managers who can be benefited with the policies provided in the chapters of the book.
Author : Nicolas Vandeput
Publisher : Walter de Gruyter GmbH & Co KG
Page : 305 pages
File Size : 40,7 Mb
Release : 2020-08-24
Category : Business & Economics
ISBN : 9783110673999
In this book . . . Nicolas Vandeput hacks his way through the maze of quantitative supply chain optimizations. This book illustrates how the quantitative optimization of 21st century supply chains should be crafted and executed. . . . Vandeput is at the forefront of a new and better way of doing supply chains, and thanks to a richly illustrated book, where every single situation gets its own illustrating code snippet, so could you. --Joannes Vermorel, CEO, Lokad Inventory Optimization argues that mathematical inventory models can only take us so far with supply chain management. In order to optimize inventory policies, we have to use probabilistic simulations. The book explains how to implement these models and simulations step-by-step, starting from simple deterministic ones to complex multi-echelon optimization. The first two parts of the book discuss classical mathematical models, their limitations and assumptions, and a quick but effective introduction to Python is provided. Part 3 contains more advanced models that will allow you to optimize your profits, estimate your lost sales and use advanced demand distributions. It also provides an explanation of how you can optimize a multi-echelon supply chain based on a simple—yet powerful—framework. Part 4 discusses inventory optimization thanks to simulations under custom discrete demand probability functions. Inventory managers, demand planners and academics interested in gaining cost-effective solutions will benefit from the "do-it-yourself" examples and Python programs included in each chapter. Events around the book Link to a De Gruyter Online Event in which the author Nicolas Vandeput together with Stefan de Kok, supply chain innovator and CEO of Wahupa; Koen Cobbaert, Director in the S&O Industry practice of PwC Belgium; Bram Desmet, professor of operations & supply chain at the Vlerick Business School in Ghent; and Karl-Eric Devaux, Planning Consultant, Hatmill, discuss about models for inventory optimization. The event will be moderated by Eric Wilson, Director of Thought Leadership for Institute of Business Forecasting (IBF): https://youtu.be/565fDQMJEEg
Author : J. George Shanthikumar,David D. Yao,W.H.M. Zijm
Publisher : Springer Science & Business Media
Page : 413 pages
File Size : 41,5 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781461503736
This volume originates from two workshops, both focusing on themes that are reflected in the title of the volume. The first workshop took place at Eindhoven University of Technology, April 24-26, 2001, on the occasion of the University granting a doctorate honoris causa to Profes sor John A. Buzacott. The second workshop was held on June 15, 2002 at Cornell University (preceding the annual INFORMSjMSOM Confer ence), honoring John's retirement and his lifetime contributions. Each of the two workshops consisted of about a dozen technical presentations. The objective of the volume, however, is not to simply publish the proceedings of the two workshops. Rather, our objective is to put to gether a select set of articles, each organized into a well-written chapter, focusing on a timely topic. Collected into a single volume, these chapters aim to serve as a useful reference for researchers and practitioners alike, and also as reading materials for graduate courses or seminars.
Author : Baoding Liu,Augustine O. Esogbue
Publisher : Springer Science & Business Media
Page : 220 pages
File Size : 48,7 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781461551515
Decision Criteria and Optimal Inventory Processes provides a theoretical and practical introduction to decision criteria and inventory processes. Inventory theory is presented by focusing on the analysis and processes underlying decision criteria. Included are many state-of-the-art criterion models as background material. These models are extended to the authors' newly developed fuzzy criterion models which constitute a general framework for the study of stochastic inventory models with special focus on the real world inventory theoretic reservoir operations problems. The applications of fuzzy criterion dynamic programming models are illustrated by reservoir operations including the integrated network of reservoir operation and the open inventory network problems. An interesting feature of this book is the special attention it pays to the analysis of some theoretical and applied aspects of fuzzy criteria and dynamic fuzzy criterion models, thus opening up a new way of injecting the much-needed type of non-cost, intuitive, and easy-to-use methods into multi-stage inventory processes. This is accomplished by constructing and optimizing the fuzzy criterion models developed for inventory processes. Practitioners in operations research, management science, and engineering will find numerous new ideas and strategies for modeling real world multi- stage inventory problems, and researchers and applied mathematicians will find this work a stimulating and useful reference.
Author : Frank A. Tillman,Deandra T. Cassone
Publisher : FT Press
Page : 15 pages
File Size : 51,7 Mb
Release : 2012-05-31
Category : Business & Economics
ISBN : 9780132982016
Normal 0 false false false MicrosoftInternetExplorer4 How much warehouse space will your company need throughout the year? That’s a brutally complex question--and companies that get it wrong can waste huge amounts of money. In Developing a Warehouse and Inventory Level Optimization System, Frank A. Tillman and Deandra Cassone introduce a complete model for answering this question more accurately and minimizing warehousing costs without introducing excessive costs elsewhere. Tillman and Cassone help you accurately project how much inventory you’ll need to house to avoid stockouts, by accurately analyzing the demand pattern of each product at the wholesaler level throughout the year and establishing the demand distributions and inventory requirements to cover service for each level of product at each wholesaler. Their sequential analysis establishes the safety stock and inventory levels required to support the desired service level to each wholesaler. Products are next measured as they flow through manufacturing, packaging, warehousing, and distribution to dynamically determine the optimal Full Goods Days Inventory as an output of the system. Tillman and Cassone’s sophisticated simulation approach goes beyond conventional linear programming allocation of resources, helping decision-makers project inventory build-up on a shift-by-shift basis. Their model can help companies prioritize products and allocate resources to maximize profit and customer satisfaction within existing demand and capacity constraints and makes possible detailed scheduling of products through the system.
Author : Evan L. Porteus
Publisher : Stanford University Press
Page : 330 pages
File Size : 40,8 Mb
Release : 2002
Category : Business & Economics
ISBN : 0804743991
This book has a dual purpose?serving as an advanced textbook designed to prepare doctoral students to do research on the mathematical foundations of inventory theory, and as a reference work for those already engaged in such research. All chapters conclude with exercises that either solidify or extend the concepts introduced.
Author : Dieter Bartmann,Martin F. Bach
Publisher : Springer Science & Business Media
Page : 271 pages
File Size : 49,6 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9783642871467
Experts in operations research and developers of software application systems have been treading separate paths for many years. It is urgently necessary to reset this course so that the demanding requirements of variousCIM concepts can be realized. This is specially relevant for computer-based stock management. Both authors, with a number of years of practical experience behind them, have written this book with this objective in mind. The book shows how modern inventory control can be rationally structured with the help of OR. Two aspects are given importance:1) the necessary mathematical derivations are completely explained in detail so that the reader will be able to optimally handle a given situation with the help of the methods learned in this book, and 2) aside from the models, strong emphasis is given on numerical methods. Suitable algorithms are thoroughly explained for the more important cases.
Author : Mukhdeep Singh Manshahia,Valeriy Kharchenko,Elias Munapo,J. Joshua Thomas,Pandian Vasant
Publisher : John Wiley & Sons
Page : 944 pages
File Size : 53,6 Mb
Release : 2022-02-11
Category : Technology & Engineering
ISBN : 9781119792628
HANDBOOK OF INTELLIGENT COMPUTING AND OPTIMIZATION FOR SUSTAINABLE DEVELOPMENT This book provides a comprehensive overview of the latest breakthroughs and recent progress in sustainable intelligent computing technologies, applications, and optimization techniques across various industries. Optimization has received enormous attention along with the rapidly increasing use of communication technology and the development of user-friendly software and artificial intelligence. In almost all human activities, there is a desire to deliver the highest possible results with the least amount of effort. Moreover, optimization is a very well-known area with a vast number of applications, from route finding problems to medical treatment, construction, finance, accounting, engineering, and maintenance schedules in plants. As far as optimization of real-world problems is concerned, understanding the nature of the problem and grouping it in a proper class may help the designer employ proper techniques which can solve the problem efficiently. Many intelligent optimization techniques can find optimal solutions without the use of objective function and are less prone to local conditions. The 41 chapters comprising the Handbook of Intelligent Computing and Optimization for Sustainable Development by subject specialists, represent diverse disciplines such as mathematics and computer science, electrical and electronics engineering, neuroscience and cognitive sciences, medicine, and social sciences, and provide the reader with an integrated understanding of the importance that intelligent computing has in the sustainable development of current societies. It discusses the emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative intelligent techniques in a variety of sectors, including IoT, manufacturing, optimization, and healthcare. Audience It is a pivotal reference source for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in the field of artificial intelligence in the areas of Internet of Things, renewable energy, optimization, and smart cities.
Author : Biswajit Sarkar,Mitali Sarkar
Publisher : MDPI
Page : 618 pages
File Size : 43,6 Mb
Release : 2020-04-23
Category : Technology & Engineering
ISBN : 9783039285228
The evolution of industrial development since the 18th century is now experiencing the fourth industrial revolution. The effect of the development has propagated into almost every sector of the industry. From inventory to the circular economy, the effectiveness of technology has been fruitful for industry. The recent trends in research, with new ideas and methodologies, are included in this book. Several new ideas and business strategies are developed in the area of the supply chain management, logistics, optimization, and forecasting for the improvement of the economy of the society and the environment. The proposed technologies and ideas are either novel or help modify several other new ideas. Different real life problems with different dimensions are discussed in the book so that readers may connect with the recent issues in society and industry. The collection of the articles provides a glimpse into the new research trends in technology, business, and the environment.
Author : Nita H. Shah,Mandeep Mittal
Publisher : Springer Nature
Page : 228 pages
File Size : 55,9 Mb
Release : 2021-08-21
Category : Business & Economics
ISBN : 9789811621567
This book presents a collection of mathematical models that deals with the real scenario in the industries. The primary objective of this book is to explore various effective methods for inventory control and management using soft computing techniques. Inventory control and management is a very tedious task faced by all the organizations in any sector of the economy. It makes decisions for policies, activities, and procedures in order to make sure that the right amount of each item is held in stock at any time. Many industries suffer from indiscipline while ordering and production mismatch. It is essential to provide best ordering policy to control such kind of mismatch in the industries. All the mathematical model solutions are provided with the help of various soft computing optimization techniques to determine optimal ordering policy. This book is beneficial for practitioners, educators, and researchers. It is also helpful for retailers/managers for improving business functions and making more accurate and realistic decisions.
