Name: Optimization and Inventory Management (Asset Analytics) (en Inglés)
SKU: 53794346
Price: 87.87 USD
Availability: InStock
Author: Shah, Nita H. ; Mittal, Mandeep

portada Optimization and Inventory Management (Asset Analytics) (en Inglés)

Optimization and Inventory Management (Asset Analytics) (en Inglés)

Formato

Libro Físico

Ilustrado por

Nita H. Shah

Mandeep Mittal

Editorial

Springer

Autor

Shah, Nita H. ; Mittal, Mandeep

Año

2020

Idioma

Inglés

N° páginas

470

Encuadernación

Tapa Blanda

Dimensiones

23.4x19.6x1.5 cm

Peso

0.64 kg.

ISBN13

9789811397004

N° edición

Categorías

Gestión de la producción y control de calidad
Investigación operativa
Industrias de la tecnología de la información

Optimization and Inventory Management (Asset Analytics) (en Inglés)

Nita H. Shah (Ilustrado por) · Mandeep Mittal (Ilustrado por) · Springer · Tapa Blanda

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Reseña del libro "Optimization and Inventory Management (Asset Analytics) (en Inglés)"

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.