Search Results - subject:"material handling"

50 years of warehousing research : an operations research perspective

Boysen, Nils; Koster, René de - In: European journal of operational research : EJOR 320 (2025) 3, pp. 449-464

Persistent link: https://www.econbiz.de/10015085273

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

Cost and performance comparison of tier-captive SBS/RS with a novel AVS/RS/ML

Ekren, Banu Yetkin; Lerher, Tone; Küçükyaşar, Melis; … - In: International journal of production research 62 (2024) 5, pp. 1648-1662

Persistent link: https://www.econbiz.de/10014546258

A closed queueing networks approach for an optimal heterogeneous fleet size of an inter-facility bulk material transfer system

Amjath, Mohamed; Kerbache, Laoucine; Smith, James MacGregor - In: Logistics 8 (2024) 1, pp. 1-38

Background: This study addresses optimising fleet size in a system with a heterogeneous truck fleet, aiming to minimise transportation costs in interfacility material transfer operations. Methods: The material transfer process is modelled using a closed queueing network (CQN) that considers...

Persistent link: https://www.econbiz.de/10014506706

Cloud material handling systems: a cyber-physical system to enable dynamic resource allocation and digital interoperability

Aron, Cosmin; Sgarbossa, Fabio; Ballot, Eric; Ivanov, Dmitry - In: Journal of Intelligent Manufacturing 35 (2023) 8, pp. 3815-3836

Cloud Material Handling System. The model allows leveraging the use of digital technologies to capture and process real …-time information about a logistics network with the aim to dynamically allocate material handling resources and promote asset and … dynamically allocate material handling resources to product flows. The adoption of the proposed model can increase efficiency …

Persistent link: https://www.econbiz.de/10015403287

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

Optimal shape for a rectangular warehouse with a lateral receive/ship dock

Di Luozzo, Sebastiano; Schiraldi, Massimiliano Maria - In: Journal of industrial engineering and management : JIEM 15 (2022) 4, pp. 663-669

Purpose: This technical note provides the mathematical demonstration for obtaining the optimal aspect ratio for a rectangular storage area with a lateral receive/ship dock, representing the standard configuration of modern distribution centers and logistic warehouses. The proposed aspect ratio...

Persistent link: https://www.econbiz.de/10014512888

Fleet sizing of trucks for an inter-facility material handling system using closed queueing networks

Amjath, Mohamed; Kerbache, Laoucine; Smith, James MacGregor - In: Operations research perspectives 9 (2022), pp. 1-15

Material handling systems (MHS) are integral to logistics functions by providing various supports such as handling …

Persistent link: https://www.econbiz.de/10014245378

Taxonomy of material handling equipment selection methods at distribution centers

García-Cáceres, Rafael Guillermo; Torres-Hernández, … - In: Cuadernos de administración : quarterly publication of … 38 (2022) 73, pp. 1-13

Persistent link: https://www.econbiz.de/10014265852

Travel time model for multi-deep automated storage and retrieval system with a homogeneous allocation structure

Lehmann, Timo; Hußmann, Jakob - In: Logistics research 14 (2021) 1, pp. 1-15

This paper presents a travel time model for multi-deep AS/RS, which determines the average travel times during a single command storage or retrieval and a dual command cycle. The model can determine the relocation probability, the number of expected relocations and the travel times in storage...

Persistent link: https://www.econbiz.de/10012798570