Classic Automation and Control
Classic Automation and Control
Classic Automation and Control
Improving planning discipline at Classic Automation and Control

Improving planning discipline at Classic Automation and Control

Improving planning discipline at Classic Automation and Control

A centralised workflow replaced scattered updates and last-minute rescheduling. (case 912)

₹13 L/yr

Annual savings from avoided expediting

₹13 L/yr

Annual savings from avoided expediting

15%

Reduction in rework/rejection loops

15%

Reduction in rework/rejection loops

50%

Time saved in daily follow-ups

50%

Time saved in daily follow-ups

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About Classic Automation and Control

About Classic Automation and Control

Classic Automation and Control operates from Udham Singh Nagar and builds machined components for project-based customers. As a small-scale auto ancillary unit running single shift, they work with a make-to-order model and job-site plus main warehouse. They needed a centralised workflow to reduce daily follow-ups and keep commitments predictable.

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Auto Ancillary

Industry

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Auto Ancillary

Industry

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Small

Company Size

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Small

Company Size

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Udham Singh Nagar

Location

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Udham Singh Nagar

Location

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Bought-out planning and vendor date tracking for assemblies

Use Cases

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Bought-out planning and vendor date tracking for assemblies

Use Cases

Challenges

Testing status was sequenced via WhatsApp-based follow-ups, so WIP clarity broke during two shifts.

Bought-Outs shortages showed up late, causing emergency buys and delays on shafts.

Dispatch dates were promised before checks for tool life, causing reshuffles (inventory closing pressure).

Workcentre progress captured at source

Workcentre progress captured at source

Workcentre progress captured at source

Earlier, Classic Automation and Control relied on whiteboard planning and calls to confirm grinding progress. When priorities changed, different teams carried different versions of the plan. A centralised workflow captured stage updates at source, so WIP moved with clear ownership. The daily review shifted from collecting updates to resolving exceptions. Supervisors started closing handovers on time, improving predictability during single shift.

Earlier, Classic Automation and Control relied on whiteboard planning and calls to confirm grinding progress. When priorities changed, different teams carried different versions of the plan. A centralised workflow captured stage updates at source, so WIP moved with clear ownership. The daily review shifted from collecting updates to resolving exceptions. Supervisors started closing handovers on time, improving predictability during single shift.

Requirement-driven buying rhythm

Requirement-driven buying rhythm

Requirement-driven buying rhythm

Earlier, buying for coolant was triggered after shortages hit the shopfloor. Follow-ups lived in personal reminders, so receipts slipped during busy days. Requirements were linked to live orders and brackets, creating a daily shortage list. Vendors were followed up against dates, not memory, and approvals became faster. The team reduced emergency purchases and avoided excess on slow movers across separate RM and FG stores.

Earlier, buying for coolant was triggered after shortages hit the shopfloor. Follow-ups lived in personal reminders, so receipts slipped during busy days. Requirements were linked to live orders and brackets, creating a daily shortage list. Vendors were followed up against dates, not memory, and approvals became faster. The team reduced emergency purchases and avoided excess on slow movers across separate RM and FG stores.

Paperwork + packing visibility

Paperwork + packing visibility

Paperwork + packing visibility

Earlier, dispatch dates were committed before checks on tool life. Packing, QA clearance, and paperwork were tracked in different places. Readiness gates were added so jobs were released only when documents were complete. Customers got clearer dates, and escalations reduced because holds had visible reasons. Dispatch planning became steadier even with a make-to-stock model and project-based customers.

Earlier, dispatch dates were committed before checks on tool life. Packing, QA clearance, and paperwork were tracked in different places. Readiness gates were added so jobs were released only when documents were complete. Customers got clearer dates, and escalations reduced because holds had visible reasons. Dispatch planning became steadier even with a make-to-stock model and project-based customers.

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AI-Run Factory

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Built by IIT & IIM founders

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Become the
AI-Run Factory

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Built by IIT & IIM founders