Articles

Optimizing Logistics Operations: Identifying and Mitigating Risks through FMEA and Poka Yoke

/in /by

The logistics industry plays a crucial role in facilitating the smooth distribution of goods both nationally and internationally. With the growth of the transportation and warehousing sector contributing significantly to Indonesia’s GDP, logistics companies are increasingly vital in supporting trade activities. However, logistics companies face significant challenges, especially when shipping high-risk goods such as hazardous chemicals, which require careful handling due to their potential hazards to human health, safety, and the environment. In addition, maintaining service quality is essential to ensure consumer satisfaction, as delays, errors in documentation, and other issues can lead to dissatisfaction. PT XYZ, a logistics company in Indonesia, has encountered operational issues leading to delays in shipments, caused by factors such as bad weather, inconsistent schedules, and incomplete or inaccurate shipping documents. This study applies risk management techniques, specifically Failure Mode and Effect Analysis (FMEA) and Poka Yoke, to identify, assess, and mitigate risks in PT XYZ’s shipping operations. 15 risks are obtained with the most critical risk is inaccurate information about the goods being shipped, resulting in delays and financial losses. The Risk Priority Number (RPN) for this risk was calculated as 252, indicating a high severity and frequency of occurrence. To mitigate this risk, the study recommends implementing a Smart Logistic Checker system, which integrates automatic technologies such as barcode scanning, digital weighing, dimension measurement, and label printing, with automatic validation to ensure that the information matches the physical condition of the goods. This approach aims to reduce errors, enhance operational efficiency, and prevent failure.

Cost Optimization and Risk Management Program for the Fuel Supply Network in an Oil & Gas Swamp Operation

/in /by

Marine activity is a critical part of an oil & gas company that operates in the swamp area. The company utilizes rigs, barges, and boats to achieve maximum production. Fuel supply for marine fleets is highly essential to ensure smooth operation. Since fuel cost becomes one of the biggest components of operating expenses (OPEX), the stakeholders highly encourage cost optimization programs to ensure business profitability. However, any optimization program shall have a robust risk management program to avoid disturbance in the operation and potential financial losses.

The research aims to select the best fuel supply network in the swamp operation area of an oil & gas company using four criteria (operational expenses, service reliability, value creation, and health safety & environment) based on the literature review and subject matter experts’ analysis. The study will analyze several alternatives using the Analytical Hierarchy Process (AHP) as a decision-making tool and Failure Mode Effect Analysis (FMEA) as the risk management method. The result shows that the hybrid network has the highest rating in AHP with a 33.7% rating and the lowest total risk priority number with 212 points.