Greater Kuala Lumpur
Disclaimer: All posts, likes, and comments I share reflect my personal views only. They do not represent the opinions or endorsements of my employer. I help industrial teams solve complex chemical engineering problems through advanced modeling, optimization, and data analytics. With a strong foundation in process engineering and mathematical optimization, I deliver solutions that improve efficiency, reduce costs, and support strategic decision-making. My expertise includes: - Process modeling & simulation (steady-state & dynamic) - Hybrid modeling (first principles + data-driven) - Process & mathematical optimization - Techno-economic analysis for feasibility studies - Applied statistics for process improvement - Heat integration & pinch analysis - Conceptual chemical process design - Supply/value chain optimization I also provide technical training in: - Data analytics (Python, Excel, JMP) - Process optimization & linear programming - Heat integration & pinch analysis - Process simulation tools (HYSYS, Aspen PLUS, Unisim, Symmetry, ProII) 📺 Explore examples in: youtube.com/@zulfanadiputra Let’s connect if you're looking to enhance your process performance or upskill your engineering team.
In general, what I do here are: 1. Discuss the improvements to teaching, curriculum, and assessments to reflect industry needs 2. Provide input on all aspects of UNM continuous quality improvement practices 3. Engage with the department on research projects of mutual interest 4. Present guest lectures, industrial talks, and industrial visits 5. Attend the EAC panel meeting with programme stakeholders Specifically: 1. Provide guidance on chemical engineering research topics, methodologies, and problem solving for Undergraduates and Master students 2. Share experiences on how chemical engineering principles are applied in industries to solve practical problems 3. Guest lectures on process dynamics and controls, process optimization, HYSYS training
1. Sustain and improve model robustness to enable global sites consistently capture values 2. Explain optimization signals from mathematics to practical process language to site engineers, supply coordinators, schedulers, and all other involved stakeholders 3. Help the team with various process engineering contexts and connects these with various Non Linear Programming (NLP) jargons used by the optimization solver 4. Lead trainer for ProII and HYSYS in Kuala Lumpur Tech Center 5. Lead and support R&D process modeling work (ie, improving model accuracies by adding a proper optimization routines) to enable a few hundreds millions USD capital project to move forward to the next phase
1. Led development of a multi-purpose optimization tool (Mixed Integer Linear Programming [MILP]) for supply-demand networks, which is applied to optimize product supplies in downstream and resources in upstream industries. 2. Lead trainer for ProII and HYSYS process engineering training in Kuala Lumpur Tech Center 3. Help other teams around the globe solving their process simulation problems in their capital projects
1. Led the collaboration with supply coordinators to improve their workflow by developing an optimization tool (Mixed Integer Linear Programming [MILP]) that enables few million USD savings per year 2. Collaborated with business partners to improve existing optimization tools (mostly MILP) to align with varying and future constraints in their supply networks. 3. Improved existing optimization tools (mostly MILP) for robustness and user-friendliness.
- Led process improvements and optimization of process industries using process simulation models aka digital twin (steady state and dynamic) - Developed and implemented AI/ML tools for optimizing refinery, petrochemical, and chemical plants. - Conducted data analysis (statistics), developed machine learning (statistical regressions) applications, and conducted process optimization for process plants and R&D activities. - Developed ML models for process equipment, process units, and unconventional unit operations as hybrid modeling and simulation using Symmetry and Python. - Adjunct/guest lecturer for universities sharing about process simulation, process dynamics and controls, process optimization, process design, and final year project evaluators
1. Led process troubleshooting and process improvement projects utilizing applicable techniques in applied statistics, root cause analysis, fishbone diagram, 5 Why's, and various chemical engineering concepts to improve process yields 2. Led the collaboration with people at site to develop R&D approaches to improve process yields
One of the clients in UTP chemical process consulting services: - Led root cause analysis for product and process improvements activities - Directed R&D activities, - Led process modifications/improvements towards inherently safer process
- Did industrial researches on process system engineering, process design and integration, process optimization, multi-objective optimization, and process improvements. - Delivered training/courses for professionals on process & product modeling, process integration, and process optimization. - Taught Undergraduate and Master classes for process optimization, heat integration, refinery optimization, process hazard analysis (e.g. HAZOP, HAZID, what-if, bow-tie), safe design and operation (e.g. inherently safer design, relief design and sizing). - Did industrial projects: a. directing R&D activities and process improvements for a specialty chemicals plant b. developing optimization of subsurface and surface facilities c. developing models and simulation of gas pipeline network d. supporting consequence modeling projects for process safety issues (e.g. H2 and CO2 releases).