SILPAKORN UNIVERSITY SCIENCE AND TECHNOLOGY JOURNAL, Vol 9, No 2 (2015)

Efficiency Improvement of Truck Queuing System in the Freight Unloading Process Case Study of a Private Port in Songkhla Province

Sujin Woottichaiwat




Abstract


This study aimed to improve the efficiency of queuing system of supply trucks in freight unloading process in a private port in Songkhla province. In everyday, suppliers delivered 5 types of supply to the port, including (1) oil-rig spare parts, (2) consumer products, (3) tools and chemicals, (4) helicopter fuel, and (5) plastic bins. Each truck consumed unequal operation time. The operation process was improved by method analysis and ECRS technique. Then, several models of truck scheduling were compared using Monte Carlo simulation technique. The models composed of first-come, first-served (FCFS), shortest process time SPT), longest processing time (LPT), and analytic hierarchy process (AHP) of both original (O) and new improved (N) processes. The result showed that New Longest Processing Time (NLPT) was the most efficient model, which reduced 77.2% in mean waiting time, decreased 69.0% in mean total time in system, and improved from 11.94% to 35.30% in system utilization.

Key Words: Efficiency; Freight unloading; Monte Carlo simulation; Truck queuing

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