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Travel time model for multiple-deep shuttle-based storage and retrieval systems

Kosanić, Nenad; Marolt, Jakob; Zrnić, Nenad; Lerher, Tone - In: International journal of production research 62 (2024) 7, pp. 2606-2639

Persistent link: https://www.econbiz.de/10014546472

A Simulation-Based Approach for the Productivity Improvement of Automated Storage and Retrieval Systems in the Steel Industry

Neroni, Mattia; Juan, Angel; Bertolini, Massimo - 2022

In automated storage and retrieval systems (AS/RS), the usage of intelligent algorithms can lead to a reduction in the makespan required to complete a series of input/output operations. This paper presents a simulation-optimisation algorithm which aims at minimising the makespan in a realistic...

Persistent link: https://www.econbiz.de/10014083469

Multi-shuttle crane scheduling in automated storage and retrieval systems

Polten, Lukas; Emde, Simon - In: European journal of operational research : EJOR 302 (2022) 3, pp. 892-908

Persistent link: https://www.econbiz.de/10013363795

Reinforcement learning for multi-item retrieval in the puzzle-based storage system

He, Jing; Liu, Xinglu; Duan, Qiyao; Chan, Wai Kin; Qi, … - In: European journal of operational research : EJOR 305 (2023) 2, pp. 820-837

Persistent link: https://www.econbiz.de/10013479323

Project Time Deployment : a new lean tool for losses analysis in Engineer-to-Order production environments

Bertolini, Massimo; Braglia, Marcello; Marrazzini, Leonardo - In: International journal of production research 60 (2022) 10, pp. 3129-3146

Persistent link: https://www.econbiz.de/10013499092

Digitale Assistenzsysteme in der Lagerlogistik

Wegner, Kirsten - 2023

Persistent link: https://www.econbiz.de/10014328663

Retrieval request scheduling in a shuttle-based storage and retrieval system with two lifts

Chen, Ran; Yang, Jingjing; Yu, Yugang; Guo, Xiaolong - In: Transportation research / E : an international journal 174 (2023), pp. 1-23

Persistent link: https://www.econbiz.de/10014338384

Automated storage and retrieval system design with variant lane depths

Dong, Wenquan; Jin, Mingzhou - In: European journal of operational research : EJOR 314 (2024) 2, pp. 630-646

Persistent link: https://www.econbiz.de/10014456889

A reinforcement learning approach for transaction scheduling in a shuttle-based storage and retrieval system

Ekren, Banu Yetkin; Arslan, Bartu - In: International transactions in operational research : a … 31 (2024) 1, pp. 274-295

Persistent link: https://www.econbiz.de/10014430488

Travel time model for multi-deep automated storage and retrieval systems with different storage strategies

Lehmann, Timo; Hußmann, Jakob - In: International journal of production research 61 (2023) 16, pp. 5676-5691

Persistent link: https://www.econbiz.de/10014382344