SC Phua

Regional Demand Planning (DP) Process Execution • Lead DP Segmentation activities and ensuring the maintenance of Master Data related to Demand Planning • Maintain, optimize, and monitor Statistical Forecast Models as the foundation for the demand forecast, when and at the level appropriate for the portfolio • Collaborate with Commercial Team to incorporate (and challenge) assumptions, Sales Forecasts, and Market Intelligence into demand forecast at the level(s) most relevant to the region/segment (e.g. customer, plant, market, region), and document relevant assumptions, Opportunities and Vulnerabilities. • Leverage segmentation and exception-based logic to prioritize forecast reviews. • Monitor and improve key forecast performance KPIs such as Forecast Accuracy, Bias, and Forecast Value Add, supporting improved Cust. Service and Supply Chain efficiency Engagement In IBP/S&OE Process • Consolidate forecast data, opportunities & vulnerabilities, and related qualitative assumptions at the regional level. • Lead the Regional Demand Review/Sign-Off and contributing to Global Demand Reviews as way of working in Integrated Business Planning Process. • Participate in Regional Sales & Operations Executions Forums/Process as needed. • Act as a key point of contact/communication between Segment and Supply Chain Organizations, supporting collaboration and transparency Process Improvement • Lead, participate, and/or support efforts to improve maturity, effectiveness, and efficiency of the DP process and other related processes (IBP, Analytics, Advanced Planning System Upgrade, Process Excellence, etc.)

● Reviewed and upgraded Demand/Supply Balanced Plan generated by IBP Solver. ● Developed Global Active Ingredients Supply Plan. ● Mitigated supply threats by identifying and escalating potential risks of raw materials, production, or capacity constraints. ● Ensured supply plan reflects appropriate allocation of supply between tollers, contract manufacturers or purchase from suppliers. ● Developed Inventory Forecast. ● Prepared Deployment Plan to the regions.

● Analysed sales history and customer forecast, identifying demand opportunities and risks. ● Reviewed time-series statistical forecast and adjusted/implemented where appropriate. ● Reviewed proposed forecast with Account Managers in Demand Review meetings for other inputs. ● Implemented and managed safety stocks program to improve service levels and optimize production and for inventory control.

● Scheduled production plan (Liquids, Washed Oils, Viscous Flavours, Emulsions & Syrups) ● Shuffled production plan to recover from product rejections, raw material delays, production issues etc. ● Conducted S&OP meeting for select country and products (back-up Demand Planner)

Team Leader of Liquid Team ● Led the team in the execution of the team's responsibilities (NPD, NPI, production support, projects)

Responsibilities of Liquid Team (Liquid Flavours, Viscous Flavours, Emulsions and Syrup) ● New Product Development (initial assessment of new formulas/lab or pilot trial) ● New Product Introduction (scale-up and defining mixing instructions) ● Production Support (quality deviation investigations/production troubleshooting) ● Projects (support in process optimization/product transfer projects)

Supported new product introduction (flat-sheet membrane) ● Cycle time study for (1) mass-production feasibility, (2) equipment sizing for required capacity ● Planned new equipment layout for post-treatment processes Supported membrane mass production (flat-sheet and hollow fiber membrane) ● Cycle time study to identify bottlenecks and perform line-balancing ● Introduced Work Instructions on Production Floor for operators’ better conformance to SOP ● Established weekly report format for monitoring production membrane quality ● Troubleshoot quality deviations

Oversaw the introduction of new cell model for mass production as Project I/C through ● leading a cross-functional team to execute introduction project ● establishing new work flow for Production due to unusual product requirements Supported new cell model and shipment tray introduction through ● project scheduling ● liaison with tray suppliers to troubleshoot tray quality issues ● Purchasing Standard preparations ● engineering evaluation of shipment trays, tray material selection ● tray material shortage risk management planning ● conducting trial runs of new cell model on production line Spear-headed Tray Recycle Project as Project 2 I/C through ● feasibility study ● project scheduling ● establishing work flow for vendor to collect used trays from customer ● establishing quality check items for vendor to satisfy and preparing Purchasing Standard ● troubleshooting quality issues encountered.

Applied engineering statistics, reliability engineering, design of experiments, project management, new product management, modeling for supply chain systems.

Data Science - Introductory modules to (1) Statistics and (2) Programming (Python). Predictive Analytics - (1) Introduction to Statistical Modelling and (2) Generalized Modelling and Forecasting.

Graduated with honours in Chemical Engineering. Final Year Project on Biodiesel Production from Grease Trap Oil by a Dual-Lipase Solvent-Free System. Student Exchange Program - One semester on overseas exchange in University of Leeds.