Lalan Rubbers targets rising global demand for latex gloves, boosts manufacturing using Kingslake solutions

Lalan Rubbers, a pioneering regional plantation company and vertically integrated rubber manufacturer, has announced a partnership with Sri Lanka’s leading manufacturing solutions experts, Kingslake in order to streamline and optimise its production capabilities by using Advanced Planning and Scheduling (APS).

Through the partnership, Lalan Rubbers will have the ability to seamlessly manage scheduling across its entire production process, while also benefiting from advanced planning capabilities. This will enable the company to respond in real-time to fluctuations in supply and demand, all within a single system implemented by Kingslake and leveraging the robust capabilities of the Siemens OpCentre APS, according to a company media release.

“Planning is the only certain thing in an uncertain time. With digitalisation manufacturers – large and small - are now able to react quickly and intelligently to unexpected changes in the supply chain. Through this partnership we are enabling a quantum leap in our production capabilities, leveraging advanced planning and scheduling capabilities which will help our existing systems. These investments are aligned with national efforts to enhance the domestic rubber industry, while providing our enterprise with an invaluable competitive edge,” Lalan Rubbers CEO Manjula Mahadanaarachchi stated.

Elaborating on the Siemens OpCentre APS Kingslake Head - Business Solutions, Mohamed Sheriffdeen said: “With this implementation, the team at Lalan receives an interactive, multi-constraint plant scheduling system which will enable them to rapidly schedule orders using intelligent built-in rules, as well as an automated planner that can interact with the schedule as needed. This will provide unprecedented visibility and control to the management team, enabling them to optimise production across all of their orders at once, in real-time.”

Opcenter APS (formerly known as “Preactor” APS) is specifically developed to meet such requirements using advanced algorithms that balance demand and capacity to generate effective, achievable production schedules.