E-Books →Modeling and Applications in Operations Research

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 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. It 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.