Dynamic Workstation Allocation for Fulfillment Throughput Balance
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Solution Overview
Problem
Existing fulfillment centers face inefficiencies in workstation layout and resource allocation, leading to discrepancies in throughput and order fulfillment times, which are not adequately addressed by current technologies.
Innovation Solution
A method and system for managing workstation allocation in fulfillment centers that utilize machine learning and AI to generate a workstation allocation plan based on throughput and sales velocity, considering factors like travel distance, storage temperature, and SKU characteristics, to optimize workload balance across workstations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional workstation allocation methods are used, then the system is simple to operate, but throughput discrepancies between workstations increase
Solution Approach 1:
The workstation allocation system dynamically adjusts SKU assignments based on real-time sales velocity data and throughput measurements. The system continuously reevaluates and reassigns SKUs to workstations to optimize throughput balance, transforming a static allocation approach into a dynamic one that adapts to changing demand patterns.
Solution Approach 2:
The system implements a feedback mechanism by measuring actual throughput at each workstation and using this information to inform subsequent allocation decisions. Sales velocity data and throughput measurements feed into the allocation algorithm, creating a closed-loop system that continuously improves throughput balance based on performance feedback.
2Loss of time
If manual workstation allocation is used, then the system is easy to manage, but order fulfillment time increases
Solution Approach 1:
The patent replaces manual mechanical allocation processes with an automated computer-based system that uses algorithms to optimize SKU-to-workstation assignments. This substitution of mechanical/manual operations with automated computational processes reduces order fulfillment time while managing complexity through software rather than human intervention.
Solution Approach 2:
The system performs preliminary analysis of sales velocity data and throughput patterns before making allocation decisions. By pre-calculating optimal assignments based on historical and real-time data, the system prepares allocation plans in advance, reducing the time required for actual order fulfillment without requiring complex real-time adjustments during operations.
3Productivity
If workstations are not optimized based on sales velocity, then resource allocation is simple, but productivity decreases
Solution Approach 1:
The system optimizes workstation allocation by changing key parameters including sales velocity measurements, throughput rates, and SKU characteristics. The allocation algorithm adjusts assignments based on these parameter changes, allowing the system to improve productivity by matching high-velocity SKUs with appropriate workstations while accounting for varying throughput capabilities.
Solution Approach 2:
The patent applies local quality optimization by tailoring SKU assignments to specific workstation characteristics and local demand patterns. Rather than applying a uniform allocation strategy across all workstations, the system customizes assignments based on individual workstation performance, location, and the specific sales velocity patterns of SKUs assigned to each location.
Data Source
AI summary
A method for managing workstation allocation in a fulfillment center includes receiving a batch of orders of items associated with SKUs, determining a throughput of each of workstations based on a number of outbound SKUs leaving one workstation per unit time, determining a sales velocity of each order SKU, generating a workstation allocation plan that assigns each order SKU to one or more particular workstations based on (i) the throughput of each of the workstations and (ii) the sales velocity of each order SKU to thereby decrease a discrepancy between the throughputs of the workstations with respect to a baseline discrepancy between the throughputs, and transmitting the workstation allocation plan to a transportation device configured to deliver the order SKUs from a storage system to the one or more particular workstations in accordance with the workstation allocation plan.