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作 者:Wenkai Ma Dong Yang Yingying Wu Yaohua Wu
机构地区:[1]School of Control Science&Engineering,Shandong University,Jinan,People’s Republic of China [2]Centre for Maritime Studies,National University of Singapore,Singapore,Singapore [3]Business School,Shandong University of Technology,Zibo,People’s Republic of China
出 处:《Journal of Control and Decision》2023年第2期215-228,共14页控制与决策学报(英文)
基 金:China Scholarship Council:[Grant Number 202006220116].
摘 要:The crane&shuttle-based storage and retrieval system(C&SBS/RS)is the first automated warehouse technology that supports pallet picking,case picking and item picking.In the C&SBS/RS,aisle-captive cranes perform pallet picking,while tier-captive shuttles handle cases and items picking.To balance picking tasks,we propose an order dividing algorithm to fulfil required specific picking sequences.The optimisation objective is to minimise the order line picking time.Therefore,we modelled and analyzed the C&SBS/RS and considered single and dual command cycles for each resource(i.e.cranes,rail-guided vehicles,shuttles and lifters)separately according to their respective operation processes.Finally,numerical experiments were conducted to analyze impact factors and a real case to verify the power of the proposed order dividing algorithm.
关 键 词:Automated warehouses unit-load AS/RS SBS/RS analytical and numerical modelling performance analysis
分 类 号:TP333[自动化与计算机技术—计算机系统结构]
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