Sequenced Kit Cart Delivery for Random Vehicle Assembly
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Solution Overview
Problem
Traditional vehicle assembly processes face challenges in efficiently changing over between different vehicle models due to logistical complexities and congestion on the assembly line, particularly when building multiple vehicle types in a batch or random sequence, which leads to increased time, cost, and error susceptibility.
Innovation Solution
A system for sequenced part delivery where kit carts are loaded with vehicle-specific components in a predetermined order, connected to conveying sources like floor conveyors or AGVs, and moved along the assembly line to match the build sequence, reducing the need for multiple bins next to assembly cells and allowing for flexible and efficient assembly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple bins containing components for different vehicle types are positioned next to assembly cells to support random build sequences, then flexibility in building different vehicle types is improved, but plant floor congestion and logistical complexity increase
Solution Approach 1:
The system segments the parts delivery function into mobile robotic units that can independently navigate to different assembly cells. Each robotic unit carries a sequence of parts for a specific vehicle build sequence, eliminating the need for multiple static bins at each assembly cell. This segmentation transforms the logistics system from a complex network of fixed storage locations to a simplified fleet of autonomous delivery units.
Solution Approach 2:
The robotic units are designed to be mobile and dynamically repositionable throughout the plant floor, replacing static bins. The system dynamically adjusts part delivery based on the actual build sequence, allowing robotic units to move to different assembly cells as needed. This dynamic approach enables flexibility in building different vehicle types without requiring permanent storage infrastructure at each station.
2Device complexity
If bins are repositioned to support batch-type vehicle builds, then logistical complexity is reduced, but changeover time and production flexibility increase
Solution Approach 1:
The system prepares part sequences in advance for the entire build schedule, loading robotic units with the correct sequence of parts before assembly begins. This preliminary sequencing eliminates the need for manual bin repositioning during changeovers, as the robotic units are already configured with the appropriate parts for the next vehicle type in the sequence.
Solution Approach 2:
The robotic units autonomously navigate to assembly cells and deliver parts without human intervention. The system self-manages the logistics of part delivery, automatically adjusting to different build sequences without requiring manual reconfiguration of bins or storage areas. This self-service capability eliminates changeover time associated with manual bin repositioning.
3Manufacturing precision
If parts are staged in individual bins in the correct order for random build sequences, then manufacturing precision is improved, but coordination complexity and error susceptibility increase
Solution Approach 1:
The system incorporates tracking and identification technology that monitors the build sequence and part usage in real-time. This feedback mechanism ensures that robotic units deliver the correct parts in the correct order by verifying the build sequence and adjusting deliveries accordingly. The system can detect and correct sequencing errors automatically, maintaining high manufacturing precision without requiring complex manual coordination.
Solution Approach 2:
The system replaces manual coordination and physical bin organization with automated robotic units equipped with sensors and control systems. Instead of relying on human operators to manually stage and retrieve parts in the correct sequence, the robotic units autonomously manage part sequencing using electronic control and navigation. This substitution of mechanical/manual processes with automated systems reduces coordination complexity while maintaining or improving parts sequencing accuracy.
Data Source
AI summary
A system and method for sequencing component part delivery for use in assembling vehicle bodies arranged in a substantially random assembly sequence. The system and method includes a plurality of kit carts that are loaded or stocked with vehicle specific parts in a sequence or staging area of an assembly facility. The vehicle specific stocked carts are arranged and positioned to a coordinated vehicle to assemble the vehicle using the kit carts that move along in sequence with the vehicle as the vehicle is assembled along an assembly line. As the carts are depleted of parts, the carts are returned for restocking and assigned to a subsequent vehicle.