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This document summarizes research on solving aggregate planning problems. It begins with an introduction to aggregate planning and its goal of maximizing profit while meeting demand. It then reviews several previous studies that developed models to solve aggregate planning problems using techniques like fuzzy logic, mixed-integer linear programming, genetic algorithms, and linear goal programming. The studies aimed to deal with uncertainties in production, demand, costs and optimize objectives like minimizi

Author

Hafis Sayed

Language

EN