Detailed Production Scheduling based on Multi-Objective Search and Simulation

Abstract

This paper presents an advanced approach to solving fine scheduling problems of production in practice. It focuses on creating near-optimal feasible schedules considering detailed constraints and capabilities of the resource environment. It is a very important and complicated task to make an efficient schedule for the shop floor to include different types of facilities and operations. The proposed model supports the flexible usage of production goals and requirements simultaneously. The elaborated approach uses a special searching technique with multiple neighbouring operators and problem space transformation based on execution-driven simulation. Successful applications of the methods in real manufacturing environments are also demonstrated.