Designing Procurement Process Monitoring Dashboard for Supporting Food Security Supply Chain Risk Management System in Indonesian Bureau of Logistics

Alfazah, Detha Aulia; Ridwan, Ari Yanuar; Yulianti, Femi; Kusuma, Putu Giri Artha

doi:10.1109/tssa48701.2019.8985503

Cited by 5 publications

(2 citation statements)

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“…In scenario 1, the addition of 1 gantry crane unit will decrease the reach stacker equipment utility, which means the reach stacker's level of busy is decreased. This condition occurs because the loading speed of the gantry crane is (1) getting higher. It is different from scenario 4, when adding 1 unit of gantry crane and 5 units of dump truck, the reach stacker tool utility tends to be stable from scenario 3 and there is an increase in the utility of gantry crane which increases up to 76%.…”

Section: Analysis Resultsmentioning

confidence: 99%

“…There are 3 main types of flow in the supply chain, they are information flow, financial flow and material flow. Research has been done on the management of information flows such as the development of a sustainable procurement monitoring system to support risk management of the food supply chain [1] and the development of reverse logistics to monitoring system in the leather tanning industry [2]. In financial flow, there are several studies to maximize the profit, such as the development of dynamic pricing in the hotel business sector [3] and online travel agency [4].…”

Section: Introductionmentioning

confidence: 99%

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Designing simulation model for minimizing coal train unloading time: A case study of Kereta Api Logistik Company

Wijaya

Ridwan

Setyawan

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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The increase in coal production every year has influence the transport volume of coal trains of Kereta Api Logistik Company is getting higher. This increase causes the current number of train unloading equipment to be unable to keep up with this increase and has an impact on the poor performance of train unloading, which is indicated by the unachieved of train’s waiting time target. The coal train unloading system is a very complex system and many uncertainties occur, so the appropriate method to use is discrete event simulation. The simulation model is designed using the Simulation Arena software. The results of the simulation method are 4 alternative scenarios will be selected by the Bonferonni test. Scenario 4 has the highest reduction in train unloading operating time, which is 30.7%. The results of this study recommend the addition of a tool with a combination of 1 unit of Gantry Crane integrated with coal traveling hopper and 5 units of Dump Truck and for management, this recommendation can reduce high overtime costs every month and increase coal transport capacity so that coal transport profits will increase.

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Section: Analysis Resultsmentioning

confidence: 99%