Optimization and Inventory Management

Optimization and Inventory Management PDF Author: Nita H. Shah
Publisher: Springer Nature
ISBN: 9811396981
Category : Business & Economics
Languages : en
Pages : 470

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Book Description
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.

Optimization and Inventory Management

Optimization and Inventory Management PDF Author: Nita H. Shah
Publisher: Springer Nature
ISBN: 9811396981
Category : Business & Economics
Languages : en
Pages : 470

Get Book

Book Description
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.

Demand-Driven Inventory Optimization and Replenishment

Demand-Driven Inventory Optimization and Replenishment PDF Author: Robert A. Davis
Publisher: John Wiley & Sons
ISBN: 1119220416
Category : Business & Economics
Languages : en
Pages : 320

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Book Description
Remove built-in supply chain weak points to more effectively balance supply and demand Demand-Driven Inventory Optimization and Replenishment shows how companies can support supply chain metrics and business initiatives by removing the weak points built into their inventory systems. Beginning with a thorough examination of Just in Time, Efficient Consumer Response, and Collaborative Forecasting, Planning, and Replenishment, this book walks you through the mathematical shortcuts set up in your management system that prevent you from attaining supply chain excellence. This expanded second edition includes new coverage of inventory performance, business verticals, business initiatives, and metrics, alongside case studies that illustrate how optimized inventory and replenishment delivers results across retail, high-tech, men's clothing, and food sectors. Inventory optimization allows you to avoid out-of-stock situations without impacting the bottom line with excessive inventory maintenance. By keeping just the right amount of inventory on hand, your company is better able to meet demand without sacrificing the cost-effectiveness of other supply chain strategies. The trick, however, is determining "just the right amount"—and this book provides the background and practical guidance you need to do just that. Examine the major supply chain strategies of the last 30 years Remove the shortcuts that prohibit supply chain excellence Optimize your supply/demand balance in any vertical Overcome systemic weaknesses to strengthen the bottom line Inventory optimization is benefitting companies around the world, as exemplified here by case studies involving Matas, PWT, Wistron, and Amway. When inefficiencies are built into the system, it's only smart business to identify and remove them—and implement a new streamlined process that runs like a well-oiled machine. Demand-Driven Inventory Optimization and Replenishment is an essential resource for exceptional supply chain management.

Inventory Optimization

Inventory Optimization PDF Author: Nicolas Vandeput
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110673991
Category : Business & Economics
Languages : en
Pages : 305

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Book Description
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

Inventory Optimization with SAP

Inventory Optimization with SAP PDF Author: Marc Hoppe
Publisher: SAP PRESS
ISBN: 9781592292059
Category : Inventory control
Languages : en
Pages : 705

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Book Description
How can you reduce expensive warehouse stock without risking your customer satisfaction, ability to deliver, and market position? This book teaches you how by providing clear, straightforward details about the SAP system options for implementing efficient inventory management. You'll learn about all of the different functions of SAP ERP and SAP SCM (SAP APO) that are needed to master inventory optimization. In addition, you'll learn about the critical factors that affect your inventory, from inventory analysis, demand planning, and MRP, to service level, lot size, production, and inventory monitoring. This completely updated and expanded second edition includes new sections on MRP and inventory controlling, and is based on SAP ERP 6.0 and SAP SCM 5.1.

The Definitive Guide to Inventory Management

The Definitive Guide to Inventory Management PDF Author: CSCMP
Publisher: Pearson Education
ISBN: 0133448827
Category : Business & Economics
Languages : en
Pages : 208

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Book Description
Inventory management is a critical component of supply chain management, addressing how much inventory should be carried across the supply chain, where to carry it, and how much safety stock is required to meet the organization's cost and customer service objectives. Now, there's an authoritative and comprehensive guide to best-practice inventory management in any organization. Authored by world-class experts in collaboration with the Council of Supply Chain Management Professionals (CSCMP), this text gives students and practitioners a thorough understanding of each leading approach to managing supply chain inventories, and the variables that drive decisions about inventory levels. It discusses the fundamental need for inventory, how product value affects inventory decisions, how to determine inventory levels, how the number of inventory locations affects inventory levels, and new approaches to reducing inventory. Coverage includes: Basic inventory management goals, roles, concepts, purposes, and terminology, including periodic inventory, perpetual inventory, safety stock, cycle count, ABC analysis, carrying and stockout costs, and more Key inventory management elements, processes, and interactions Principles/strategies for establishing efficient and effective inventory flows The critical role of technology in inventory planning and management New approaches to reducing inventory including postponement, vendor-managed inventories, cross-docking, and quick response systems Understanding essential trade-offs between inventory and transportation costs, including the impact of carrying costs Requirements and challenges of global inventory management Best practices for assessing inventory management performance using standard metrics and frameworks

Periodic Review Inventory Systems

Periodic Review Inventory Systems PDF Author: Thomas Wensing
Publisher: Springer Science & Business Media
ISBN: 9783642204791
Category : Business & Economics
Languages : en
Pages : 151

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Book Description
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.

Inventory Management and Optimization in SAP ERP

Inventory Management and Optimization in SAP ERP PDF Author: Elke Roettig
Publisher: SAP PRESS
ISBN: 9781493213108
Category : Inventory control
Languages : en
Pages : 0

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Book Description
Avoid having too little or too much stock on hand with this guide to inventory management and optimization with SAP ERP Start by managing the stock you have through replenishment, goods issue, goods receipt, and internal transfers. Then plan for and optimize your future by avoiding bottlenecks, setting lead times, using simulations, and more. Finally, evaluate your operations using standard reports, the MRP Monitor, and KPIs. Keep your stock levels just right Key Inventory Processes Understand essential business processes like good receipt, goods issue, internal stock transfer, reservations, and using materials documents. Then map these processes to their specific master data settings like service levels and lot size. Planning and Optimization Learn how the entire supply chain influences inventory planning, and jump into methods and tools for inventory optimization including SAP ERP Add-On tools for simulations and inventory cockpits. Monitoring, Reporting, and Analysis Employ Logistics Information Systems methods to control and monitor inventory, use the MRP Monitor for inventory analysis, and calculate key indicators to measure inventory performance. Highlights: Inventory management Inventory optimization Supply chain management Goods receipt/goods issue (GR/GI) Stock transfer SAP ERP Add-Ons Lot size Demand planning Material requirements planning (MRP) MRP Monitor Key performance indicators (KPIs)

Application of Optimization in Production, Logistics, Inventory, Supply Chain Management and Block Chain

Application of Optimization in Production, Logistics, Inventory, Supply Chain Management and Block Chain PDF Author: Biswajit Sarkar
Publisher: MDPI
ISBN: 303928522X
Category : Technology & Engineering
Languages : en
Pages : 618

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Book Description
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.

Essentials of Inventory Management

Essentials of Inventory Management PDF Author: Max Muller
Publisher: AMACOM Div American Mgmt Assn
ISBN: 0814416551
Category : Business & Economics
Languages : en
Pages : 272

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Book Description
Does inventory management sometimes feel like a waste of time? Learn how to maximize your inventory management process to use it as a tool for making important business decisions.

Optimal Inventory Control and Management Techniques

Optimal Inventory Control and Management Techniques PDF Author: Mittal, Mandeep
Publisher: IGI Global
ISBN: 1466698896
Category : Business & Economics
Languages : en
Pages : 406

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Book Description
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.