Lean versus agile manufacturing processes. differences and similarities

2.  Lean manufacturing is a philosophy that considers
the expenditure of resources other than the direct
creation of value for the end customer to be
wasteful.
 Thus its targeted for elimination.
 Working from the perspective of the client who
consumes a product or service.

3. 1. Eliminate Waste
2. Build Quality In
3. Create Knowledge
4. Defer Commitment
5. Deliver Fast
6. Optimize the Whole

4.  Agile manufacturing is a term applied to an
organization that has created the processes, tools,
and training to enable it to respond quickly to
customer needs and market changes while still
controlling costs and quality.
 Agile manufacturing is seen as the next step
after Lean manufacturing in the evolution of
production methodology.

5. 1. Highest priority is customer satisfaction
2. Welcome changing requirements
3. Frequent delivery of software
4. Business people & developers cooperating daily
5. Build projects around motivated people
6. Face-to-face conversation is best
7. Progress measured by working software
8. Sustainable development pace
9. Continuous attention to technical excellence
10. Simplicity
11. Self-organizing teams
12. Regular reflection & adaptation

6. LEAN AGILE
 Customisable
 Numerous options are
available
 NO Customization
 Only 1 or 2 versions of
product.

8. LEAN AGILE
 Inventory Buffers
 Acceptable Quality
 Minimum Inventory
 Perfect Quality

9. LEAN AGILE
 Scope is enterprise wide  Focus on factory
operations

10. LEAN AGILE
 Mass Customization
 Emphasis on continuous
change
 Production schedule is
responsive to change
 Mass Production
 Emphasis on efficient
use of resources
 Smooth production
schedule

12.  Both ultimately focused on increasing business
sustainability in the high-cost manufacturing sector.
 Both are answers to challenges faced by historical
manufacturers.
 Both provide opportunities for smaller players to
compete with larger, entrenched competitors
 Both concepts rely heavily on statistical analysis,
computerized information systems and open
communication between internal and external
stakeholders.