Goods-to-Person Work Cells for Order Fulfillment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current order fulfillment processes are inefficient, leading to increased takt times and delays in processing orders, which fail to meet the growing customer expectations for rapid delivery, such as same-day or next-day shipments.
Innovation Solution
The implementation of a goods-to-person order processing work cell system with redundant workstations and mobile robots or conveyors, allowing a single operator to efficiently manage multiple origin and destination containers, minimizing downtime between orders and optimizing material flow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional order fulfillment processes are used, then operational simplicity is maintained, but order processing speed and efficiency deteriorate
Solution Approach 1:
The system is divided into multiple workstations (first workstation, second workstation, etc.), each equipped with origin containers and destination containers. This segmentation allows parallel processing of multiple orders simultaneously, thereby increasing order processing speed while maintaining manageable complexity at each individual workstation.
Solution Approach 2:
Each workstation is designed with universal functionality to handle multiple origin containers and destination containers. The workstations can process different orders using the same operational procedures and equipment configurations, which improves productivity without requiring proportionally increased system complexity.
2Productivity
If multiple workstations are deployed, then order processing efficiency improves, but floor space requirements increase
Solution Approach 1:
The system arranges multiple workstations in a compact, space-efficient layout that utilizes vertical space and optimized horizontal arrangement. By carefully positioning workstations near each other and using multi-level container stacking, the system achieves high order processing efficiency while minimizing the total floor space required.
Solution Approach 2:
Multiple workstations are merged into a coordinated system where operators can efficiently move between adjacent workstations. The proximity of workstations allows for shared resources and reduced travel time, thereby maintaining high productivity in a condensed physical footprint.
3Loss of time
If redundant workstations are implemented, then takt time is reduced, but system complexity increases
Solution Approach 1:
The system pre-stages origin containers and destination containers at each workstation before order processing begins. This preliminary preparation allows operators to immediately begin picking operations when an order arrives, significantly reducing takt time. The redundant workstations are pre-configured with necessary containers and items, minimizing setup time and system complexity during active operation.
Solution Approach 2:
Multiple workstations operate in parallel to maintain continuous order processing without idle time. While one workstation is processing an order, another can be preparing the next set of containers, ensuring that the system continuously performs useful work and minimizes downtime, thereby reducing overall takt time without requiring overly complex coordination.
4Productivity
If manual picking processes are used, then system simplicity is maintained, but labor costs and processing time increase
Solution Approach 1:
The system is designed to present all necessary origin containers and items to the operator at the workstation, eliminating the need for operators to search for items or navigate to different storage locations. The workstation self-provides the exact containers and items needed for the current order, thereby increasing picking efficiency while keeping the operator's task simple and focused.
Solution Approach 2:
The workstation acts as an intermediary between the storage system and the operator. It receives, stages, and organizes containers and items, then presents them to the operator in an optimized arrangement. This intermediary function reduces the operator's cognitive and physical workload while significantly improving picking efficiency and accuracy.
Data Source
AI summary
Systems and methods of controlling material flow can be used to streamline order fulfillment. For example, according to some embodiments described herein, takt times of goods-to-person order picking work cell processes are enhanced to expedite order processing. A goods-to-person order picking process involves moving items for an order directly to a work cell of an operator or an automated system. At order processing work cells, one or more items are transferred from origin containers and placed in shipping containers in accordance with customer orders. Work cell redundancy can be utilized to enhance efficiencies of goods-to-person order picking processes in some cases.