Modeling and Applications in Operations Research (Mathematical Engineering, Manufacturing, and Management Sciences)

The text envisages novel optimization methods that significantly impact real-life problems, starting from inventory control to economic decision-making.It discusses topics such as inventory control, queueing models, timetable scheduling, fuzzy optimization, and the Knapsack problem.The book’s content encompass the following key aspects:Presents a new model based on an unreliable server, wherein the convergence analysis is done using nature-inspired algorithmsDiscusses the optimization techniques used in transportation problems, timetable problems, and optimal/dynamic pricing in inventory controlHighlights single and multi-objective optimization problems using pentagonal fuzzy numbersIllustrates profit maximization inventory model for non-instantaneous deteriorating items with imprecise costsShowcases nature-inspired algorithms such as particle swarm optimization, genetic algorithm, bat algorithm, and cuckoo search algorithmThe text covers multi-disciplinary real-time problems such as f