An Evolution Strategy-Based Multi-objective Optimization Model for Order Planning with Multiple Production Departments

Abstract

This chapter addresses a multi-objective order planning problem in production planning under a production environment with the consideration of multiple plants, multiple production departments, and multiple production processes. The mathematical model of this problem is established first. An evolution strategy-based multi-objective optimization approach is then developed to handle this problem, in which a novel \((\varvec{\mu}/\varvec{\rho}+\varvec{\lambda})\)-evolution strategy process with self-adaptive population size and novel recombination operation is proposed and integrated with effective non-dominated sorting and pruning techniques to generate Pareto-optimal solutions for real-world production. A production process simulator is developed to simulate the production process in the investigated production environment. Experiments based on industrial data are conducted to evaluate the effectiveness of the proposed approach. Experimental results show that the proposed approach can effectively solve the investigated problem by providing production planning solutions superior to industrial solutions.