Selected Methods and Models in Military Operations Research PDF Download

Author: Naval Postgraduate School (U.S.). Department of Operations Research and Administrative Sciences
Publisher:
ISBN:
Category : Military art and science
Languages : en
Pages : 420

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Author: United States. Naval Research Office
Publisher:
ISBN:
Category : Military art and science
Languages : en
Pages : 428

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Book Description

Author: J. Christian Lang
Publisher: Springer Science & Business Media
ISBN: 3642042473
Category : Business & Economics
Languages : en
Pages : 271

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Book Description
Quantitativeapproachesforsolvingproductionplanningandinventorymanagement problems in industry have gained growing importance in the past years. Due to the increasinguse of AdvancedPlanningSystems, a widespreadpracticalapplicationof the sophisticated optimization models and algorithms developed by the Production Management and Operations Research community now seem within reach. The possibility that productscan be replaced by certain substitute productsexists in various application areas of production planning and inventory management. Substitutions can be useful for a number of reasons, among others to circ- vent production and supply bottlenecks and disruptions, increase the service level, reduce setup costs and times, and lower inventories and thereby decrease ca- tal lockup. Considering the current trend in industry towards shorter product life cycles and greater product variety, the importance of substitutions appears likely to grow. Closely related to substitutions are ?exible bills-of-materials and recipes in multi-level production systems. However, so far, the aspect of substitutions has not attracted much attention in academic literature. Existing lot-sizing models matching complex requirements of industrial optimization problems (e.g., constrained capacities, sequence-dependent setups, multiple resources) such as the Capacitated Lot-Sizing Problem with Sequence-Dependent Setups (CLSD) and the General Lot-Sizing and Scheduling Problem for Multiple Production Stages (GLSPMS) do not feature in substitution options.

Author: Edward A. Silver
Publisher: CRC Press
ISBN: 1466558628
Category : Business & Economics
Languages : en
Pages : 810

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Book Description
Authored by a team of experts, the new edition of this bestseller presents practical techniques for managing inventory and production throughout supply chains. It covers the current context of inventory and production management, replenishment systems for managing individual inventories within a firm, managing inventory in multiple locations and firms, and production management. The book presents sophisticated concepts and solutions with an eye towards today’s economy of global demand, cost-saving, and rapid cycles. It explains how to decrease working capital and how to deal with coordinating chains across boundaries.

Author: Mansoor Muallim
Publisher: M M Info Care
ISBN:
Category : Business & Economics
Languages : en
Pages : 105

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Book Description
Chapter 1: The Foundations of Inventory Management Characters: Jammy (Expert) and Canny (Enthusiast) Jammy: Hey there, Canny! I'm excited to share some valuable insights about inventory management with you today. It's a crucial aspect of any business, and I'm sure you'll find it fascinating. Canny: Hi, Jammy! I'm really eager to learn more. So, what exactly is inventory management? Jammy: Great question, Canny! Inventory management involves efficiently handling a company's stock of goods to ensure smooth operations. It's all about striking the right balance between having enough products to meet customer demand while avoiding overstocking that ties up unnecessary capital. Canny: I see. So, why is it essential for businesses? Jammy: Well, effective inventory management brings several benefits. First and foremost, it helps businesses maintain customer satisfaction. When you have products readily available, you can fulfill orders promptly, leading to happy customers. Moreover, it reduces holding costs, which are the expenses associated with storing excess inventory. Canny: That makes sense. How do companies decide how much inventory to carry? Jammy: Good question! There are various factors that influence this decision. One crucial aspect is demand forecasting. By analyzing historical sales data and market trends, businesses can estimate future demand and plan their inventory accordingly. Canny: Is there a specific method for managing different types of products? Jammy: Absolutely! Not all products are equal. Businesses often categorize their inventory based on demand and value. This categorization helps them apply appropriate management techniques. For instance, high-value items may require closer monitoring and tighter controls. Canny: Interesting! Are there any popular inventory control models? Jammy: Yes, indeed! One of the widely used models is the Economic Order Quantity (EOQ) model. It calculates the optimal order quantity that minimizes total inventory costs, including ordering and holding costs. Canny: Is there any way to handle unpredictable demand? Jammy: Definitely! Safety stock comes into play here. It's the buffer inventory kept to tackle unexpected spikes in demand or delays in supply. Safety stock acts as an insurance against stockouts. Canny: That sounds important. How can technology help with inventory management? Jammy: Technology plays a significant role in modern inventory management. Businesses use specialized software to automate various processes, such as order processing, tracking, and forecasting. This streamlines operations and enhances accuracy. Canny: Thanks for sharing all this valuable information, Jammy. It's been really enlightening. Jammy: You're welcome, Canny! Inventory management is an ever-evolving field, and there's always something new to learn. I'm glad I could help satisfy your thirst for knowledge! Key Takeaways: Inventory management is about efficiently handling a company's stock of goods to meet customer demand while minimizing holding costs. Demand forecasting is crucial for determining the right inventory levels. Categorizing inventory based on demand and value helps tailor management techniques. The Economic Order Quantity (EOQ) model is widely used for inventory control. Safety stock acts as a buffer against unexpected fluctuations in demand or supply. Technology, such as inventory management software, plays a significant role in streamlining processes and improving accuracy.

Author: Arthur G. Bedeian
Publisher: Dissertations-G
ISBN:
Category : Business & Economics
Languages : en
Pages : 408

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Book Description

Author: Dr. Mayank Saxena
Publisher: Book Rivers
ISBN: 9355157835
Category : Antiques & Collectibles
Languages : en
Pages : 554

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Book Description

Author: Numan M. Durakbasa
Publisher: Springer Nature
ISBN: 3031244575
Category : Technology & Engineering
Languages : en
Pages : 903

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Book Description
This book contains selected papers from International Symposium for Production Research 2022, held on October 6–9, 2022, Turkey. The book reports recent advances in production engineering and operations. It explores topics including: production research; production management; operations management; industry 4.0; industrial engineering; mechanical engineering; engineering management; and operational research. Presenting real-life applications, case studies, and mathematical models, this book is of interest to researchers, academics, and practitioners in the field of production and operation engineering. It provides both the results of recent research and practical solutions to real-world problems.

Author: Jing-Sheng J. Song
Publisher: Edward Elgar Publishing
ISBN: 180037710X
Category : Technology & Engineering
Languages : en
Pages : 565

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Book Description
This comprehensive Handbook provides an overview of state-of-the-art research on quantitative models for inventory management. Despite over half a century’s progress, inventory management remains a challenge, as evidenced by the recent Covid-19 pandemic. With an expanse of world-renowned inventory scholars from major international research universities, this Handbook explores key areas including mathematical modelling, the interplay of inventory decisions and other business decisions and the unique challenges posed to multiple industries.

Author: Nita H. Shah
Publisher: Springer Nature
ISBN: 9811396981
Category : Business & Economics
Languages : en
Pages : 466

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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.