Modelling of material handling operations using controlled traffic

摘要: Controlled-traffic farming (CTF) is a management system that can eliminate soil compaction by wheels within the cropped area. According to principles of CTF, permanent parallel wheel tracks are created field The benefits in terms productivity and sustainability, have been subject intensive research for number decades. This has led establishment CTF various regions around world. also drawbacks include need purchase specialised machinery, loss area due dedicated cost creating maintaining traffic lanes fields. Furthermore, efficiency affected significant increases idle time in-field transport way fields traversed material handling operations. During fertilisation, when tramline length driving distance needed apply one tanker load fertiliser not coordinated, does allow random turns requires drive empty along path. inherent characteristics system, as well fact cooperatively owned machines used carry out operations, makes existing models inadequate evaluating efficiency. In this paper, development discrete-event model prediction travelled distances machine operating operations using concept presented. based on mathematical formulation discrete events regarding motion performing fieldwork pattern. To evaluate two slurry application experiments were designed. involved registering position monitoring status applicator. Validation showed could adequately predict pattern machinery CTF. Prediction errors total travelled, 0.24% 1.41% 2 experimental setups. current structure captures interrelationships between mutual influencing parameters sequence configurations layout. potential be autonomous vehicles.