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.


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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