Business Excellence

Business Excellence

Business Excellence

At Jubilant Pharmova Limited , the Business Excellence function builds improvement strategies that support competitive advantage. The work is structured around the organisation’s three pillars—Customer, Process, and People—and is supported by execution mechanisms and capability.

Purpose and Scope

We strive towards customer-centricity in our processes by leveraging excellence in our methodologies. Our goal is to achieve efficiencies and make our businesses more sustainable. Identification of waste across the value chain and its elimination by improving product quality, service levels, productivity, planning and yields are integral to our approach. To bring about a cultural change across the organisation with a ‘safety and quality first’ mindset, programs such as Values work-shop, Integrated Process Teams and Lean Workflow Management are undertaken consistently. Further, cross-functional team collaboration is actively encouraged for solving business problems using the Lean Six Sigma approach.​
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Driving Cultural Change Through Safety, Quality, and Lean Collaboration​

The continual improvement approach is implemented through methods adopted in line with organisational priorities, including Lean Six Sigma, Total Productivity Maintenance, and a Business Intelligence framework supported by BI tools. 
To bring about a cultural change across the organisation with a ‘safety and quality first’ mindset, programs such as Values work-shop, Integrated Process Teams and Lean Workflow Management are undertaken consistently. Further, cross-functional team collaboration has been actively encouraged for solving business problems using the Lean Six Sigma approach.​

Driving Operational Agility​

There is a high level of commitment towards leveraging new technologies and automation to deliver breakthrough results and achieve competitive advantage. Dynamic project management utilising Smartsheet, the use of Power BI dashboards and the initiation of MES deployment are setting the path for efficient and agile operations. In continuation of our digitalisation journey, the use of Artificial Intelligence and Machine Learning-backed logistics planning and schedule optimiser tools has helped us leverage faster, more efficient and reliable deliveries to our customers. Design space of key products optimised using Python-based advanced modelling techniques and improved product robustness​
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