Parametric Study of Throughput Performance in SBS/RS Based on Simulation

Lerher, Tone; Borovinšek, Matej; Ficko, Mirko

doi:10.2507/ijsimm16(1)8.372

Cited by 37 publications

(17 citation statements)

References 27 publications

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“…One way is to use a discreteevent simulation (DES) to evaluate the performance of the systems. Various publications take this approach (e.g., Ekren et al [8,11], Marchet et al [32], Trummer et al [36], Lerher et al [21,23,24,[26][27][28] , Kriehn et al [17], Ha et al [14] and Ekren [9]). This literature is not treated in this paper in further detail because of the diverging aims of those studies and the present investigation.…”

Section: Literature Reviewmentioning

confidence: 99%

“…-There are different transfer times from and to the shuttle depending on the depth of the rack. [11] SCC/DCC SIM Single-deep Lerher et al [28] SCC/DCC SIM Single-deep Marchet et al [32] SCC SIM Single-deep Lerher [18] SCC/DCC CTM (no) Single-deep Sari et al [33] SCC/DCC CTM (yes) Single-deep Kartnig et al [16] DCC SQ (yes) Single-deep Trummer et al [36] SCC/DCC SIM Single-deep Lerher et al [25] SCC/DCC CTM (no) Single-deep Lerher et al [27] DCC SIM Single-deep Ekren et al [8] DCC SIM Single-deep Wang et al [38] SCC/DCC OQN (no) Single-deep Lerher [20] SCC/DCC CTM (yes) Double-deep Eder et al [6] SCC/DCC SQLC (yes) Single-deep Eder et al [5] SCC/DCC SQLC (yes) Double-deep Lerher et al [29] SCC/DCC CTM (no) Single-deep Lerher et al [23] SCC/DCC SIM Single-deep Lerher et al [26] SCC/DCC SIM Single-deep Lerher [19] SCC/DCC CTM (no) Single-deep Manzini et al [30] SCC/DCC CTM (no) Multiple-deep Borovinšek et al [2] SCC/DCC CTM (no) Single-deep Ekren et al [12] SCC/DCC OQN (yes) Single-deep Lerher [21] DCC SIM Single-deep Lerher et al [24] DCC SIM Single-deep Epp et al [13] SCC/DCC OQN(yes) Single-deep Tappia et al [35] SCC/DCC OQN (yes) Multiple-deep Eder et al [7] SCC/DCC SQLC (yes) Single-deep Kriehn et al [17] SCC/DCC SIM Single-deep Ha et al [14] SCC SIM Single-deep Lerher [22] DCC CTM (yes) Single-deep Ekren et al [10] DCC CTM (no) Single-deep Eder [3] SCC/DCC SQLC (yes) Single-deep Ekren [9] DCC SIM Single-deep Eder [4] SCC -There is no difference in time between the transfer of a tote to and from the lift. If there is a difference in the real system, there is no influence on the calculation, because only the sum of times for loading and unloading is used.…”

Section: System Descriptionmentioning

confidence: 99%

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An approach for performance evaluation of SBS/RS with shuttle vehicles serving multiple tiers of multiple-deep storage rack

Eder

2020

Int J Adv Manuf Technol

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This paper presents a method for determining the performance of shuttle-based storage and retrieval systems (SBS/RS) with tier-captive, single-aisle shuttles serving various numbers of tiers of multiple-deep storage. The use of this approach takes place in the design process of SBS/RS. The proposed approach considers the real operating characteristics of the shuttle and lifts. The basis of this calculation method is a continuous-time, open-queueing system with limited capacity. The cycle times of the lifts and shuttles, determined by a spatial value approach, can be used directly in the presented method with an assumed uniform distribution of storage locations and a probability-based model of storage depth. This approach is validated by a comparison with a discrete-event simulation. Finally, an example based on a system provided by a European material handling provider is presented to outline how this calculation model can be used for designing SBS/RS that fulfill predefined requirements. The result of this example is a decrease in the needed ground space with an increasing number of tiers served by each shuttle and with increasing storage depth.

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Section: Literature Reviewmentioning

confidence: 99%

Section: System Descriptionmentioning

confidence: 99%

An approach for performance evaluation of SBS/RS with shuttle vehicles serving multiple tiers of multiple-deep storage rack

Eder

2020

Int J Adv Manuf Technol

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“…Lerher et al. () present a parametric simulation model that enables the calculation of single command (SC) and dual command cycle times and throughput performances of SBS/RS.…”

Section: Literature Reviewmentioning

confidence: 99%

A multistage heuristic for storage and retrieval problems in a warehouse with random storage

Ballestín

Pérez

Quintanilla

2017

Int Trans Operational Res

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The warehouse is one of the essential components of logistics and supply chains. The efficiency of the whole chain is affected by the performance of warehouse operations and, more particularly, the storage and retrieval of goods. This paper considers a storage and retrieval problem in a real warehouse with random storage and different types of forklifts, depending on the locations they can access. The problem deals with selecting locations to store/retrieve a predefined set of pallets, assigning an adequately skilled forklift to each operation and determining the order in which each forklift will perform its operations so that the total employed time is minimized. The problem is solved heuristically by decomposing it into three subproblems, each one handling one of the three key decisions of the problem, and taking into account congestion considerations. The paper also studies two modifications of the problem, adding secondary objective functions. Computational results compare the effectiveness of the proposed algorithms for the different problems in a stochastic environment via simulation.

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“…Reducing the cost of warehouse operations is one of the main tasks in the designing of warehouses and the selection of material handling equipment and storage systems. Solutions of this task can be found by optimizing space utilization (e.g., Derhami et al, 2017), reducing the total travelled distance by the fork-lifts (Ghalehkhondabi and Masel, 2018), using automated storage and retrieval systems (AS/RSs), autonomous vehicle storage and retrieval systems (AVS/RSs) (Heragu et al, 2011) and Shuttle-Based Storage and Retrieval Systems (SBS/Rs) (Lerher et al, 2017) for increasing the throughput of warehouse operations.…”

Section: Introductionmentioning

confidence: 99%

A Method to Determine Allowable Speed for a Unit Load in a Pallet Flow Rack

Safronov

Носко

2019

Acta Mechanica Et Automatica

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Pallet flow rack are widely used in intralogistics to maximize warehouse capacity and to reduce the travel by fork-lifts. However, the use of pallet flow racks is associated with increased danger due to the use of gravity conveyors in their design. For this purpose, the gravity conveyors of pallet flow rack have a two safety elements – brake rollers and a stopping mechanism with pallet separator, which are working as a system. Brake rollers limit the speed of pallets, while the stopping mechanism allows exuding a pressure on the unloading pallet from the following behind it. A pallet should have such a speed, controlled by the brake rollers, so that it could be stopped by a stopping mechanism without damaging it. Based on the Cox impact theory, an original method for determining the allowable speed of a pallet in a pallet flow rack is proposed. The method ensures safe operation of the stopping mechanism with pallet separator and takes into account the mechanical properties and design parameters of the pallet separator stopper. A calculation example is provided for the most commonly used types of pallets – Euro pallet (1200 mm × 800 mm) and Industrial pallet (1200 mm × 1000 mm). The obtained results agree well with the pallet speed range of 0.2 to 0.3 m/s recommended by the manufacturers of pallet flow racks.

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Parametric Study of Throughput Performance in SBS/RS Based on Simulation

Cited by 37 publications

References 27 publications

An approach for performance evaluation of SBS/RS with shuttle vehicles serving multiple tiers of multiple-deep storage rack

An approach for performance evaluation of SBS/RS with shuttle vehicles serving multiple tiers of multiple-deep storage rack

A multistage heuristic for storage and retrieval problems in a warehouse with random storage

A Method to Determine Allowable Speed for a Unit Load in a Pallet Flow Rack

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