Automate the process—not the confusion.
SharpSigma supports industrial automation where controls, equipment, quality, test and production flow have to work as one system—from focused machine improvements to greenfield and brownfield integration.
Controls, robotics, vision and material movement.
Automation should be selected around process need, risk, maintainability and production economics.
PLC & machine control
Control requirements, sequence logic, equipment interfaces, alarms/interlocks and integration planning.
Robotic cells & handling
Application definition, safety/interface requirements, end-effector considerations, cycle logic and production integration.
Machine vision
Inspection/verification use cases, lighting/fixture considerations, decision logic and traceability interfaces.
Conveyors & material handling
Transfer, buffers, poka-yoke, station interfaces and line-control considerations.
Test equipment integration
ICT/FCT/EOL interfaces, result handling, station status and release logic.
MES / production data
Traceability, station transactions, genealogy, status and data handoff between physical equipment and manufacturing systems.
Automation has to earn its complexity.
Before specifying technology, SharpSigma can help separate the process problem from the automation opportunity and define the economic/operational case.
- Automation feasibility and concept definition
- Cycle-time / capacity logic
- Quality and error-proofing opportunity
- Manual-vs-automated tradeoff
- Integration, maintenance and changeover considerations
Integrate around the production system.
Automation can be part of a new line/facility or a retrofit where existing equipment, controls and production continuity create additional constraints.
See Factory & Industrialization →Connect physical automation to the information flow.
Where useful, physical automation can connect to reporting, quality workflows, knowledge systems and governed AI rather than leaving data trapped at the machine.
Defined interfaces and acceptance.
Automation requirements, sequence/interface definition, feasibility/ROI model, concept review, acceptance criteria, validation plan, production-data requirements and commissioning/readiness actions.
Have a process that should be automated?
Start with the current method, cycle, failure mode, quality risk and target outcome—not the preferred technology.