Abstract

The cross-aisles shuttle-based storage/retrieval system has not only storage function but also the sorting function and makes full use of warehouse space to achieve high-density storage. It uses “part-to-picker” order picking mode to respond quickly to orders and shorten sorting time. In this paper, through the analysis of the system, an effective evaluation method for the efficiency and time of system picking under a single instruction operation cycle is presented. The objective function of system minimum cost under the condition of satisfying customer’s demand is constructed. The objective function is solved by an improved particle swarm algorithm based on the optimized initial particle swarm optimization. By optimizing, we can find the optimal configuration of the system (i.e., the number of tiers, number of aisles and number of bays, number of picking stations, and number of lifts with minimal system cost). Finally, the impact of different configurations on system performance is summarized. This method can guide the design planner to design a more reasonable system under minimum cost control.

Highlights

  • W ITH the rapid development of the e-commerce industry and the continuous innovation of automation technology, the "Part-To-Picker" order picking system has replaced the traditional "Picker-To-Part" picking model, widely favored by e-commerce companies [1]. " Part-To-Picker " order picking systems mainly include the following: automated storage and retrieval system (AS/RS), shuttle-based storage/retrieval system (SBS/RS), and an order sorting system based on mobile robots (Robotic mobile fulfillment systems, RMFS)

  • We propose a heuristic algorithm to determine the initial particles based on the bottleneck of shuttle and lift in CASBS/RS

  • CASBS/RS is taken as the research object, and three simulation experiments are carried out

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Summary

BACKGROUND

W ITH the rapid development of the e-commerce industry and the continuous innovation of automation technology, the "Part-To-Picker" order picking system has replaced the traditional "Picker-To-Part" picking model, widely favored by e-commerce companies [1]. " Part-To-Picker " order picking systems mainly include the following: automated storage and retrieval system (AS/RS), shuttle-based storage/retrieval system (SBS/RS), and an order sorting system based on mobile robots (Robotic mobile fulfillment systems, RMFS). AS/RS is the parallel work of stackers dedicated to each aisle to complete the storage and retrieval tasks of the system [2]. SBS/RS is an automatic shuttle that runs along the aisle and cooperates with a lift to complete the task of storage and retrieval across tiers. In SBS/RS, shuttles replace the pickers, receive orders from the picking station through a wireless network, and perform parallel operations to complete storage and sorting tasks. The cross-aisles shuttle-based storage/retrieval system (CASBS/RS) takes the shuttle as the carrier and cooperates with the lift to perform tasks. The reloading shuttle can transport cargos in different aisles to the same picking station so that the system can pick-to-order across aisles and shorten the order picking time

SYSTEM LAYOUT
CONTRIBUTIONS The main contributions of this paper are
OBJECTIVE FUNCTION
IMPROVED PARTICLE SWARM OPTIMIZATION
OPTIMIZE INITIAL PARTICLE SWARM
Output Optimal Results
DISCUSSION ON SIMULATION RESULTS
EXAMPLE
CONCLUSION
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