Mohammad Aditya Lazuardi
Industrial Engineering graduate passionate about Reliability, Operations Excellence, and Digital Manufacturing. Skilled in Lean, Data Analytics, and Predictive Maintenance.
Download ResumeCore Competencies
Reliability Engineering
Expertise in RCM, FMEA, and reliability analysis
Lean Manufacturing
Implementation of lean principles and waste reduction
Six Sigma
Process improvement and quality management
Data Analysis
Python, Excel, and statistical analysis
Predictive Maintenance
Condition monitoring and failure prediction
Monte Carlo Simulation
Risk analysis and decision modeling
Digital Twin
Virtual modeling and system optimization
Team Leadership
Project management and team coordination
Professional Experience
Reliability Engineer (Consultant)
May 2025 - Nov 2025PT. Badak LNG
- Lead a RCM team (5+ member) supervised by Qatar reliability expert to develop and implement Reliability Centered Maintenance II (RCM II) frameworks.
- Analyzed over 1000+ equipment across 5 process plants, 3 utilities plant, and 2 storage & loading area to proposed maintenance strategies based on RCM HSEO Logic and enhance systems asset reliability.
- Potentially reduces 6.54% of corrective maintenance cost for each equipment
Operation Management Division Intern
Aug 2024 - Feb 2025PT. Toyota Motor Manufacturing Indonesia
- Designed the digital twin framework to support core Toyota Production System (TPS) principles, enhancing real-time data flow for Just-in-Time (JIT) inventory management and enabling proactive quality control (Jidoka).
- Improved production efficiency by 15% through process optimization
- Researched and applied ISO 23247 guidelines for Digital Twin implementation, ensuring adherence to standards for integrated-digital monitoring systems for 3 product assembly line across 6 company. Projected to increase efficiency by 6.01% and reduce downtime by 87.56%, creating a significant competitive advantage through enhanced manufacturing operations.
Reliability Department Intern
Jan 2024 - Feb 2024PT. Petrokimia Gresik
- A Enhanced Reliability Maintenance Planning by developing predictive maintenance estimation models and optimized maintenance interval strategies using Monte Carlo simulation methods. This approach was applicable to over 300 pieces of critical equipment, directly supporting the company's transition to a predictive maintenance.
Highlighted Projects
Reliability Calculation Web App
Developed a web-based solution to automate reliability calculations, transforming manual processes into a fast, data-driven workflow.
Lean Implementation - Wonosalam Coffee SMEs
Collaboration with Toyota to apply Lean principles and optimize coffee production processes, driving measurable improvements in productivity and quality.
Spare Parts Inventory Planning in Cement Industry
Designed a data-driven inventory strategy to minimize dead stock and optimize maintenance costs for a major cement industry.
Predictive Maintenance with Python
Implemented machine learning models to predict equipment failures, enabling proactive maintenance and reducing downtime.
Image Processing for Vehicle Counting using YOLOv5
Built an object detection pipeline using YOLOv5 to accurately count vehicles and support smarter traffic management.
ILOG: Illegal Logging Detection System
Created an intelligent detection system using RNN and IoT sensors to combat illegal logging through real-time monitoring.
Closed-House Chicken Coop Monitoring System and Chicken Blood Processing Equipment to Support Chicken Farming Productivity
Engineered an IoT-based monitoring system to track air quality in poultry farms, ensuring livestock health and productivity.
Organizational Experience
Assistant's Coordinator
2023 - 2025Manufacturing System Laboratory, ITS
One of the Industrial Engineering Laboratory that focused on manufacturing systems, maintenance and reliability, sustainability, and quality
Head of Purwakarta Regional Event
2022 - 2023Ini Lho ITS!!
Ini Lho ITS 2024 is an event focused on promoting ITS to high school students across Indonesia.
Vice President of Finance & Administration
2022 - 2023Industrial Engineering Competition
Student Research Kernel is a for-profit organization that conducts research and provides services to help curate and prepare journals for publication.
Staff of First Commission (Core Management)
2022 - 2023ITS Legislative Council
The ITS Legislative Council is the official legislative body of ITS, acting as the representative voice of KM ITS.
Education
ITSSepuluh Nopember Institute of Technology
GPA: 3.33 out of 4
| Course Name | Total Credit | Grade |
|---|---|---|
| Lean Concept & It's Application | 3 | A |
| Final Project | 6 | A |
| Industrial Planning | 3 | A |
Get in Touch
Feel free to reach out for collaboration, opportunities, or just to say hello!