Mr. Hairunizam bin Aminudin

 

Hairunizam Aminudin is a manufacturing expert with 22 years of experience in food manufacturing. Graduated in Bachelor of Chemical Engineering (Universiti Putra Malaysia) in 2004 and Executive Diploma in Manufacturing Management (Open University Malaysia & Nestle Malaysia) 2008.

Deep knowledge and experience in food processing, filling and packing for chocolate, beverage mixes, flavoured syrup, milk powder, retorted soup, sauces, cocoa, soft candy (gummy), hard candy and snack. Key strength in food manufacturing requirements such as OHSAS 18001:2007, ISO 14001, MS1500:2019, FSSC 22000, GMP, HACCP Systems, Best Practices & Hygienic Engineering.

Hairunizam has worked in few roles such as Production Manager, Engineering Manager, Operation Manager and Plant Manager which the key focus throughout his career in setting the manufacturing foundation, standardisation, improvement and projects in multi-national company (MNC) such as Nestle, Campbell Soup, Fraser & Neave, Kerry Ingredient, Barry Callebaut & JDE Peet’s. Passionate about leading the team towards streamlining the manufacturing, Hairunizam strives to lead the team towards lean manufacturing in achieving the goal of ZERO Waste, One Team and 100% Involvement. When not crafting strategies, Hairunizam enjoys spend time with family to go for camping activity, transforming house into a creative interior design and travelling.

The increasing demand and higher expectation for consistent product quality, food safety and higher productivity of production has accelerated the adoption of automated filling and packaging systems in the food manufacturing industry. The presentation focuses on the process optimization of automated filling and packaging operations to enhance overall food safety, quality and manufacturing efficiency. The key process parameters are including filling accuracy with synchronization of auto feedback system, statistical process control in ensuring compliance and packaging integrity are systematically analysed to identify sources of variability, inefficiency and product loss. Advanced optimization techniques such as real-time monitoring, data-driven control systems and process simulation are explored to improve productivity and system performance. Emphasis is placed on minimizing product wastage, reducing cycle time and ensuring compliance with stringent safety and quality standard. The integration of smart sensors and Industrial Internet of Things (IIoT) technologies is also examined for enabling predictive maintenance and adaptive process control. Food anMufacturer in Malaysia currently investing on the automation equipment and structure in-line with government initiatives towards Industry 4.0 transformation.