2 research outputs found
Optimizing the Number of Internal Trucks Based on Berth Allocation and Quay Crane Assignment at a Container Terminal
Get PDFThe increase in international trade and production automation has led to a global container traffic surge at ports, including Terminal Peti Kemas X, one of Surabaya's main domestic terminals. This situation requires more effective and efficient management of handling equipment, particularly internal trucks that link the dock and the stacking yard, to avoid congestion and operational delays. However, the loading and unloading performance and vessel service at this terminal are not optimal due to fluctuating container flows and suboptimal equipment allocation, particularly for quay cranes (QC) and internal trucks (IT). This study aims to optimize the number of internal trucks based on quay allocation and quay crane assignment tailored to the volume of containers being loaded and unloaded, using discrete event simulation as the primary approach. Performance is measured using two leading indicators: box/crane/hours (BCH) and vessel turnaround time (TRT). Under existing conditions, the BCH and TRT values are 23.43 boxes and 15.24 hours, respectively. Several improvement scenarios were developed by varying the number or ratio of quay crane and internal truck assignments, without adding new equipment. The scenario analysis found that the best scenario has a container volume configuration of 150 boxes with 2 QC and 7 IT assignments, while a container volume of 150 boxes has 2 QC and 11 IT assignments. This configuration can increase BCH to 25.33 boxes and reduce TRT to 11.82 hours. These findings indicate that this approach is practical in significantly improving system performance
Integrasi Six Sigma dan FMEA (Failure Mode And Effect Analysis) untuk Peningkatan Kualitas Produk Koran (Studi Kasus: PT. ABC Manufacturing – Sidoarjo, Jawa Timur – Indonesia)
Get PDFPT. ABC is a subsidiary of the JawaPos Group, founded in 1996, and is one of the companies in East Java engaged in printing and packaging. The products produced include magazines, books and newspapers. Of all the products that the company has created, one of the biggest defects is found in newspaper products, which is 4% of the average newspaper product production of 806.59 copies and produces a moderate defect of 22,743 copies in 2019. In this research, the method applied is the Six Sigma method and Failure Mode and Effect Analysis (FMEA), by implementing and carrying out the stages in the Six Sigma method, namely DMAIC (Define, Measure, Analyze, and Control). From this research, the results obtained are that the company has several newspaper product defects of 181,943 copies consisting of several types of product defects, including damp paper, blurred colours, shaded printing, asymmetrical printing, and running printing. The company is currently at the 4.04 sigma level, so corrective actions need to be taken to achieve six sigma levels. By applying the Failure Mode and Effects Analysis (FMEA) method, it can be seen that the biggest and most frequent product defect is a blurred colour defect. So that the recommended alternative solution for repairs is to check the ink and replace the ink with standard ink or have a lower density, perform regular and systematic machine checks, and provide further guidance on newspaper printing production standards to all operators involved work
