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Implementation Examples - Industrial


Logistics Warehouse - Oversight

The Challenge

A logistics warehouse receives, unloads, stores, reloads and ships pallets of various items from multiple vendors throughout their 24 hour a day, 7 days a week process. Their workers are scheduled multiple overlapping shifts each work day. Some workers are scheduled 10 hour shifts 4 days a week and some are scheduled 8 hour shifts 5 days a week. Pallets unloaded and stored are often misplaced because there isn’t enough space in designated storage zones causing the lift drivers to place their pallets wherever they will fit. Workers enter and exit through multiple entry doors and are required to “clock in” at a central time clock before they can start their shift. Because some entrances are farther away from the central station than other entrances, workers time sheets must be manually adjusted, and the company loses an estimated 30 minutes of work on some employee shifts.

Logistics Warehouse Image

The logistics warehouse's goals were:

  • To locate individual pallets within the 1.5 Million square foot rack space storage environment more efficiently than simply sending out a lift driver to check serial numbers on the pallets.
  • To better track the amount of time each individual pallet is stored and gain overall process time analytics from receiving to shipping as pallets move from trailer to trailer through the warehouse environment.
  • To better assess when workers are actually arriving for their shift and when they are actually leaving the facility.
  • To score the efficiency of each worker based on other workers performing the same task on a similar work shift.

Sparrow's Solution

  • A Sparrow QR Code marker indicating the Job Site Entrance is affixed to the wall near the unique worker entrance/exit door.
  • Each rack shelf within the warehouse storage space is affixed with a Sparrow Station QR Code to indicate that unique rack shelf location.
  • As pallets are unloaded, each pallet is affixed with a unique Sparrow Item QR Code marker encoded with the serial number of the items on that pallet and the receiving order identification code.
  • As pallets are stored, the unique rack shelf location is scanned by the lift driver followed by the pallet’s unique Sparrow Item QR Code marker.
  • When workers start their shift, they clock in by scanning the Sparrow Job Site QR Code marker nearest to where they enter. When workers leave, they clock out by scanning the Sparrow Job Site QR Code marker nearest to where they exit.
  • Whenever any worker comes into contact with a pallet, the pallet is scanned by the worker and the operation that the worker is performing is selected on the scanner’s interface (unload, store, relocate, reload).

ROI & Benefits

  • Each scan of a Sparrow QR Code marker is logged in real-time. When workers’ scan in at the start of their shift, Sparrow records which door the worker entered through and provides the worker with specific job duty and report to instructions. When they scan out at the end of their shift, their time attendance for their shift is available to the payroll department, making time keeping more accurate and more efficient.
  • As pallets of items are unloaded and registered with Sparrow, they are affixed with a Sparrow Item QR Code marker and scanned by the lift driver. When the lift driver places the pallet anywhere, they scan the location marker for the location and Sparrow links the pallet to the location. Management and operations staff are provided with an up-to-the-minute searchable and sortable report about where every pallet is located.
  • As outbound orders are generated, a pick list of locations for each item is presented to the lift driver. The location list is sorted by the location of the “oldest” pallet first and the “newest” last. Lift drivers picking the “oldest” pallets to load, over time, minimizes the storage time of the items and helps to prevent spoilage. Because the location of each pallet is known, the time required to “find” an item is decreased and throughput of the overall process is more efficient.
  • All the information that Sparrow logs is exportable. Filtering by shift, by worker, by item, by date range allows management to perform analytics on their process and determine where it can be improved and where efficiencies are maximized.

Implementation Examples - Industrial


Logistics Warehouse - Oversight

The Challenge

A logistics warehouse receives, unloads, stores, reloads and ships pallets of various items from multiple vendors throughout their 24 hour a day, 7 days a week process. Their workers are scheduled multiple overlapping shifts each work day. Some workers are scheduled 10 hour shifts 4 days a week and some are scheduled 8 hour shifts 5 days a week. Pallets unloaded and stored are often misplaced because there isn’t enough space in designated storage zones causing the lift drivers to place their pallets wherever they will fit. Workers enter and exit through multiple entry doors and are required to “clock in” at a central time clock before they can start their shift. Because some entrances are farther away from the central station than other entrances, workers time sheets must be manually adjusted, and the company loses an estimated 30 minutes of work on some employee shifts.

The logistics warehouse’s goals were:

  • To locate individual pallets within the 1.5 Million square foot rack space storage environment more efficiently than simply sending out a lift driver to check serial numbers on the pallets.
  • To better track the amount of time each individual pallet is stored and gain overall process time analytics from receiving to shipping as pallets move from trailer to trailer through the warehouse environment.
  • To better assess when workers are actually arriving for their shift and when they are actually leaving the facility.
  • To score the efficiency of each worker based on other workers performing the same task on a similar work shift.
Logistics Warehouse Image

Sparrow's Solution

  • A Sparrow QR Code marker indicating the Job Site Entrance is affixed to the wall near the unique worker entrance/exit door.
  • Each rack shelf within the warehouse storage space is affixed with a Sparrow Station QR Code to indicate that unique rack shelf location.
  • As pallets are unloaded, each pallet is affixed with a unique Sparrow Item QR Code marker encoded with the serial number of the items on that pallet and the receiving order identification code.
  • As pallets are stored, the unique rack shelf location is scanned by the lift driver followed by the pallet’s unique Sparrow Item QR Code marker.
  • When workers start their shift, they clock in by scanning the Sparrow Job Site QR Code marker nearest to where they enter. When workers leave, they clock out by scanning the Sparrow Job Site QR Code marker nearest to where they exit.
  • Whenever any worker comes into contact with a pallet, the pallet is scanned by the worker and the operation that the worker is performing is selected on the scanner’s interface (unload, store, relocate, reload).

ROI & Benefits

  • Each scan of a Sparrow QR Code marker is logged in real-time. When workers’ scan in at the start of their shift, Sparrow records which door the worker entered through and provides the worker with specific job duty and report to instructions. When they scan out at the end of their shift, their time attendance for their shift is available to the payroll department, making time keeping more accurate and more efficient.
  • As pallets of items are unloaded and registered with Sparrow, they are affixed with a Sparrow Item QR Code marker and scanned by the lift driver. When the lift driver places the pallet anywhere, they scan the location marker for the location and Sparrow links the pallet to the location. Management and operations staff are provided with an up-to-the-minute searchable and sortable report about where every pallet is located.
  • As outbound orders are generated, a pick list of locations for each item is presented to the lift driver. The location list is sorted by the location of the “oldest” pallet first and the “newest” last. Lift drivers picking the “oldest” pallets to load, over time, minimizes the storage time of the items and helps to prevent spoilage. Because the location of each pallet is known, the time required to “find” an item is decreased and throughput of the overall process is more efficient.
  • All the information that Sparrow logs is exportable. Filtering by shift, by worker, by item, by date range allows management to perform analytics on their process and determine where it can be improved and where efficiencies are maximized.