Optimization and Inventory Management
- 6h 19m
- Mandeep Mittal, Nita N. Shah
- Springer
- 2019
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.
About the Authors
Nita N. Shah is a Professor at the Department of Mathematics, Gujarat University, Ahmedabad, India. Her primary research interest is in operations research, in particular modelling real-life problems. She has 12 books and more than 475 articles in respected international journals to her credit. In addition, she is currently serving on the editorial boards of the journals Revista Investigacion Operacional (Universidad de La Habana, Cuba), Journal of Social Science and Management, International Journal of Industrial Engineering and Computations, and Mathematics Today.
Mandeep Mittal is an Assistant Professor at the Department of Mathematics, Amity Institute of Applied Sciences, Amity University, Noida, India. After completing his Master’s in Applied Mathematics at the Indian Institute of Technology (IIT) Roorkee, he obtained his Ph.D. from the University of Delhi, India. He subsequently completed his postdoctoral research at Hanyang University, South Korea. He has one book and more than 50 papers in international journals and conference proceedings to his credit. He received the Best Faculty Award from Amity School of Engineering and Technology, New Delhi, for the year 2016–2017. In addition, he is currently serving on the editorial boards of the journals Revista Investigacion Operacional, Journal of Control and Systems Engineering, and Journal of Advances in Management Sciences and Information Systems.
In this Book
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Economic Production Quantity (EPQ) Inventory Model for a Deteriorating Item with a Two-Level Trade Credit Policy and Allowable Shortages
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An Economic Order Quantity (EOQ) Inventory Model for a Deteriorating Item with Interval-Valued Inventory Costs, Price-Dependent Demand, Two-Level Credit Policy, and Shortages
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Inventory Control Policies for Time-Dependent Deteriorating Item with Variable Demand and Two-Level Order Linked Trade Credit
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Inventory Modelling of Deteriorating Item and Preservation Technology with Advance Payment Scheme under Quadratic Demand
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Dynamic Pricing, Advertisement Investment and Replenishment Model for Deteriorating Items
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A Production Reliable Model for Imperfect Items with Random Machine Breakdown under Learning and Forgetting
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Inventory Policies with Development Cost for Imperfect Production and Price-Stock Reliability-Dependent Demand
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Imperfect Quality Item Inventory Models considering Carbon Emissions
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Non-Instantaneous Deteriorating Model for Stock-Dependent Demand with Time-Varying Holding Cost and Random Decay Start Time
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Stock-Dependent Inventory Model for Imperfect Items under Permissible Delay in Payments
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Joint Effects of Carbon Emission, Deterioration, and Multi-Stage Inspection Policy in an Integrated Inventory Model
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A Note on “Inventory and Shelf-Space Optimization for Fresh Produce with Expiration Date under Freshness-and-Stock-Dependent Demand Rate”
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EOQ Model under Discounted Partial Advance—Partial Trade Credit Policy with Price-Dependent Demand
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Effects of Pre- and Post-Deterioration Price Discounts on Selling Price in Formulation of an Ordering Policy for an Inventory System—A Study
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Efficient Supplier Selection—A Way to Better Inventory Control
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Supply Chain Network Optimization Through Player Selection Using Multi-Objective Genetic Algorithm
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Allocation of Order Amongst Available Suppliers Using Multi-Objective Genetic Algorithm
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Some Studies on EPQ Model of Substitutable Products under Imprecise Environment
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An Effective MILP Model for Food Grain Inventory Transportation in India—A Heuristic Approach
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Fuzzy Based Inventory Model with Credit Financing under Learning Process
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A Fuzzy Two-Echelon Supply Chain Model for Deteriorating Items with Time Varying Holding Cost Involving Lead Time as a Decision Variable
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Transportation-Inventory Model for Electronic Markets under Time Varying Demand, Retailer's Incentives and Product Exchange Scheme
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Electronic Components’ Supply Chain Management of Electronic Industrial Development for Warehouse and Its Impact on the Environment Using Particle Swarm Optimization Algorithm
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Interpretive Structural Modeling to Understand Factors Influencing Buying Behavior of Air Freshener
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Decision-Making with Temporal Association Rule Mining and Clustering in Supply Chains
