İÇ LOJİSTİKTE OTONOMROBOTLAR İÇİN GÖREV PLANLAMASI

Abstract

With the emergence of the concept of Industry 4.0, the usage of smart vehicles in intralogistics has become widespread. In internal logistics, autonomous transportvehicles are used in the place of the automatic guided vehicles for the transportation of raw materials/parts to be processed to the business centers and the transportation of the processed parts to the warehouse. Therefore, there is a need for flexible routes instead of a single fixed route. In this study, a model is presented that plans a separate route for each transportation task list. Hybrid Simulated Annealing Algorithm was proposed for the model and the algorithm was compared with the Tabu Search Algorithm. In comparison with the test problems, it has been seen that Hybrid Simulated Annealing Algorithm gives better results.

Keywords

• autonomous transfer vehicles
• pickup and delivery
• task scheduling
• hybrid simulated annealing algorithm
• tabu search algorithm