Algorithms Development for Scheduling and Sequencing of Sugarcane Truck to Dump Tippler in Cane and Sugar Industry in Central Region of Thailand
Keywords:
Scheduling, Unrelated parallel machine, Mill yard managementAbstract
This research focuses on the unrelated parallel machines scheduling problem in the cane and sugar industry of Thailand for scheduling and sequencing sugarcane trucks to the dump tippler machines, with the objective of maximizing the throughput in terms of a total number of trucks leaving the system, the total sugarcane quantity, and total idle time. In this problem, unrelated parallel machines with sequence-independent setup time (SIST) and machine eligibility; UPM-SISTM are considered.This problem can be formulated as a deterministic problem. To solve the large-scaled problem, a constructive heuristic based on current practice UPM-SISTM and four proposed heuristic algorithms are applied. The results illustrate that the proposed heuristics algorithms are very efficient in improving the computational results; solution quality and computational time. It yields higher relative improvement (RI) on the throughput and total idle time.
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