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Honda developed its Minimum Process Requirements (MPRs) to help its suppliers achieve consistent quality in their processes for identifying, tracking, packing, labeling and traceability of Honda product. SPEDE Automated Solutions control and standardize these processes to prevent errors, increase efficiency, and simplify compliance with Honda MPRs.
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Our Customers produce Radiators, Pistons, Camshafts, Coil Springs, Brakes, Steering Wheels, Seats, Fuel Lines, Gas Caps, Center Consoles, Shifters, Steel Door Thresholds, Center Pillars, Headliners, Door Seals, Trunk Seals, Window Seals, Bumper Fillers, Jack Trays ...
SPEDE Poka Yoke solutions simplify Honda MPR compliance by interfacing to PLCs, weigh scales, vision sensors, touchscreens and USB cameras to automate business processes and prevent errors.
Vision sensors and cameras can be used to:
Touch-screen PCs display the real-time status of:
Purchased, and internally produced component lots are tracked through processing and final assembly. SPEDE ties the end item lot to all lot codes involved upstream. A single container can have multiple lot codes, if partials are combined.
You can use a scanner to:
SPEDE labeling solutions use input from host ERP/EDI/ RAS systems, and plant floor devices including PLCs, scales, vision and/or USB cameras to trigger finished goods labels to print automatically when the pack count or dunnage is correct.
Inexpensive USB cameras provide error-proof packing of layered dunnage by ensuring that every slot of the layer is filled correctly before allowing the next layer to begin. Optional video can confirm that packing requirements were met in case of customer inquiry.
Backward and Forward Traceability records are created automatically. SPEDE retains the serialized label data and all its associated transactions in a SQL database for easy drill down reports/ queries.
Individual parts and containers of parts can be serialized at line-side. 2D serial numbers on parts can be read by vision sensors as the parts are counted and packed.
Part serial numbers are linked to the container serial number in which they are packed. The container serial is linked to production details including machine, run date, lot, shift, etc., providing detailed traceability.
At a Re-pack station where a PLC isn't available to validate the correctness of parts being packed into a container, a vision sensor can confirm each part is correct, alert the operator if an error is being made, and trigger the conveyor to divert the wrong part. When a pack count of good parts is reached, a serialized container label will print.
SPEDE also controls partial packs at End of Run or End of Shift that are available for Re-pack.
Error-proof processes in Re-work are critical for QC and traceability. A vision sensor can count parts leaving production and identify good vs. scrap. By interfacing to a conveyor, good parts can be automatically diverted for packing and labeling and scrap parts for Re-work. Re-work parts are controlled via serial number on the Part or Container.
Real-time production data shows:
Partial containers available for Re-pack / Re-work are controlled via the container serial number - as are non-standard pack counts at End of Run or Shift. The container serial is linked to its contents including: serialized part numbers, quantity, lot, and production details. Pack Qty can be adjusted via Touchscreen PC.
Includes Honda Batch functionality:
Scanning the serial number on the container to be re-packed /re-labeled verifies the part is correct.
Alternatively, vision sensors and/or USB cameras can confirm that parts or components received from your Vendor are correct per the Vendor’s labeling.
As serialized container labels are printed, the label data is stored in the SPEDE label database for tracking and traceability. The label data is sent to your Release Accounting system for customer shipping.
Other transaction data can be sent to your host ERP, EDI and OEE systems including production, inventory QC, warehouse and more.
Get more detail on error-proofing processes for Honda MPR compliance, and see customer examples.
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