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Shulph Ink

Modeling and Applications in Operations Research

Modeling and Applications in Operations Research

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  • Condition: Brand new
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The text discusses novel optimization methods for real-life problems, including inventory control, queueing models, timetable scheduling, fuzzy optimization, and the Knapsack problem. It covers multi-disciplinary real-time problems and showcases nature-inspired algorithms such as particle swarm optimization, genetic algorithm, bat algorithm, and cuckoo search algorithm. It is an ideal reference text for graduate students and academic researchers in industrial engineering, manufacturing engineering, production engineering, mechanical engineering, and mathematics.

Format: Unspecified
Length: 244 pages
Publication date: 29 November 2023
Publisher: Taylor & Francis Ltd


The text presents novel optimization methods that have a significant impact on real-life problems, ranging from inventory control to economic decision-making. It explores various topics such as inventory control, queueing models, timetable scheduling, fuzzy optimization, and the Knapsack problem. The book's content encompasses the following key aspects:

• Presents a new model based on an unreliable server, where convergence analysis is performed using nature-inspired algorithms.
• Discusses the optimization techniques used in transportation problems, timetable problems, and optimal/dynamic pricing in inventory control.
• Highlights single and multi-objective optimization problems using pentagonal fuzzy numbers.
• Illustrates a profit maximization inventory model for non-instantaneous deteriorating items with imprecise costs.
• Showcases nature-inspired algorithms such as particle swarm optimization, genetic algorithm, bat algorithm, and cuckoo search algorithm.

The text covers multi-disciplinary real-time problems such as fuzzy optimization of transportation problems, inventory control with dynamic pricing, timetable problem with ant colony optimization, knapsack problem, queueing modeling using the nature-inspired algorithm, and multi-objective fuzzy linear programming. It showcases a comparative analysis for studying various combinations of system design parameters and default cost elements. The book will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, production engineering, mechanical engineering, and mathematics.

Weight: 650g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032407371

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