Smart Factory Plant Operations

The concept of smart factory plant operations, focusing specifically on the challenges related to inbound logistics truck planning and traceability, and proposes a solution to address these challenges.

The Challenges:

Inbound Logistics Truck Planning & Traceability: Currently, the planning and traceability of trucks involved in inbound logistics are done manually. This manual process can be time-consuming and prone to errors.
Waiting Time Management: The waiting time for trucks is shared manually, which can lead to inefficiencies and delays in the overall operations.
Tracking Live Trucks & Pallets: The manual tracking of live trucks and pallets can be challenging and may not provide real-time visibility into their movement.
Manual Planning: The planning of inbound logistics is currently done manually, which can be inefficient and may not optimize the delivery process.

The proposed solution to overcome these challenges involves implementing a system-driven approach for truck planning and management. The key components of the solution are as follows:

System-Driven Planning: The system will automate the planning process for trucks, ensuring that they are assigned to pick up goods from the nearest location for the shortest and fastest delivery within the plant.
Dashboard Display: The movement of trucks will be displayed on a dashboard, providing real-time visibility into their locations and statuses.

Benefits of implementing this solution:

Automated Inbound Logistics Planning: By automating the planning process, the system will reduce manual efforts and improve the accuracy and efficiency of inbound logistics operations.
No Delays for Shop Floor & Yard/Warehouse: The optimized planning and real-time tracking of trucks will minimize waiting times, leading to smoother operations and reduced delays for the shop floor and yard/warehouse.
Shortest and Fastest Path in Plant: The system will ensure that trolleys or pallets are always moved through the shortest and fastest path within the plant, optimizing material flow and reducing unnecessary travel.

Real Time Truck Tracking

Below are few images showing how to devices are attached to vehicle

In summary, the implementation of a system-driven approach for inbound logistics truck planning and traceability in a smart factory plant can automate processes, improve efficiency, and provide real-time visibility, resulting in streamlined operations and optimized material flow.

Test Items	Test Results	Test Conditions
Moisture resistance test	After test, no obvious change in appearance, and function was normal.	Temperature varied from 25°C±2K to 65°C±2 K Relative humidity at (93±3)%
High temperature test	After test, no obvious change in appearance, and function was normal	High temperature: 60°C Test duration: 96H
Low temperature Test	After test, no obvious change in appearance, and function was normal.	Low temperature:-10°C Test time: 96H
Heat cycle test	After test, no obvious change in appearance, and function was normal	Temperature rise 60°C 1H Operating 60°C 6H Temperature processing -10°C 2H Operation -10°C 6H Repeated 60H
Continuous vibration	After test, no obvious mechanical damage, and function was normal.	Condition A: Amplitude:0.25 mm or less Frequency: 5±1Hz~50±1Hz Test direction: X, Y, Z axis Test time: 10min/cycle, 5 cycles/direction Condition B: Acceleration:2.0 m/s2 or less Frequency: 5±1Hz~50±1Hz Test direction: X, Y, Z axis Test duration: 10min/cycle, 5 cycles/direction
Impact test	After test, no obvious mechanical damage, and function was normal.	Shock pulse: Half-sine Vertical: Acceleration: 5g Pulse duration: 30ms Shock direction: ±Z axis Shock Times: 3 times/direction Horizontal: Acceleration: 15g Pulse duration: 11ms Shock direction: ±X, ±Y axis Shock Times: 3 times/direction

SenseGiz

Smart Factory Plant Operations

Benefits of implementing this solution:

Real Time Truck Tracking

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