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Optimization and Inventory Management

  • Nita H. Shah
  • Mandeep Mittal
Book

Part of the Asset Analytics book series (ASAN)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Vinti Dhaka, Sarla Pareek, Mandeep Mittal
    Pages 181-194
  3. Shuya Zhong, Sujeet Kumar Singh, Mark Goh
    Pages 255-279
  4. Azharuddin Shaikh, Poonam Mishra, Isha Talati
    Pages 317-329
  5. Sayan Chakraborty, Kaushik Bhattacharjee, S. P. Sarmah
    Pages 361-376
  6. Mahesh Kumar Jayaswal, Isha Sangal, Mandeep Mittal
    Pages 377-390
  7. Deepti Aggrawal, Jagvinder Singh, Anurag Kumar, Adarsh Anand
    Pages 445-458

About this book

Introduction

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.

Keywords

Inventory Control Logistics and Supply Chain Management Management Science Optimization Stochastic Inventory Modeling Inventory Management in Healthcare Big Data

Editors and affiliations

  • Nita H. Shah
    • 1
  • Mandeep Mittal
    • 2
  1. 1.Department of MathematicsGujarat UniversityAhmedabadIndia
  2. 2.Department of Mathematics, Amity Institute of Applied SciencesAmity UniversityNoidaIndia

Bibliographic information

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