Integrated storage-order picking systems: Technology, performance models, and design insights

Tappia, Elena; Roy, Debjit; Melacini, Marco; Koster, René de

doi:10.1016/j.ejor.2018.10.048

Cited by 58 publications

(41 citation statements)

References 46 publications

(88 reference statements)

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“…The publication from authors de Koster et al and Tappia et al gives a literature overview of typical decision problems in designing and controlling manual orderpick-ing processes. They focus on the optimal (internal) layout design, storage assignment methods, routing methods, order batching and zoning [12,13]. Kapliienko at al.…”

Section: Literature Review About Warehouse Design Problemsmentioning

confidence: 99%

Example of Warehouse System Design Based on the Principle of Logistics

et al. 2021

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The warehouse process, as one of many logistics processes, currently holds an irreplaceable position in logistics systems in companies and in the supply chain. The proper function of warehouse operations depends on, among other things, the type of the used technology and their utilization. The research in this article is focused on the design of a warehouse system. The selection of a suitable warehouse system is a current research topic as the warehouse system has an impact on warehouse capacity and utilization and on the speed of storage activities. The paper presents warehouse system design methodology that was designed applying the logistics principle-systematic (system) approach. The starting point for designing a warehouse system represents of the process of design logistics systems. The design process consists of several phases: project identification, design process paradigm selection, system analysis, synthesis, and project evaluation. This article’s contribution is the proposed methodology and design of the warehouse system for the specified conditions. The methodology was implemented for the design of a warehouse system in a cold box, which is a part of a distribution warehouse. The technology of pallet racking was chosen in the warehouse to store pallets. Pallets will be stored and removed by forklifts. For the specified conditions, the warehouse system was designed for two alternatives of racking assemblies, which are served by forklifts. Alternative 1—Standard pallet rack with wide aisles and Alternative 2—Pallet dynamic flow rack. The proposed systems were compared on the basis of selected indicators: Capacity—the number of pallet places in the system, Percentage ratio of storage area from the box area, Percentage ratio of handling aisles from the box area, Access to individual pallets by forklift, Investment costs for 1 pallet space in EUR. Based on the multicriteria evaluation, the Alternative 2 was chosen as the acceptable design of the warehouse system with storage capacity 720 pallet units. The system needs only two handling aisles. Loading and unloading processes are separate from each other, which means that there are no collisions with forklifts. The pallets with the goods are operated on the principle of FIFO (first in, first out), which will facilitate the control of the shelf life of batches or series of products. The methodology is a suitable tool for decision-making in selecting and designing a warehouse system.

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Section: Literature Review About Warehouse Design Problemsmentioning

confidence: 99%

Example of Warehouse System Design Based on the Principle of Logistics

et al. 2021

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“…Tappia et al. (2018) developed an integrated stochastic model for selection of storage technologies and understanding its effect on downstream system performance. However, they consider only single‐line orders and do not analyze the effect of batching decisions on throughput performance.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The assumptions of exponential distribution for item inter‐arrival times and item pick times are standard from the analytical modeling perspective in the literature (Tappia et al., 2018). These assumptions help to simplify the CTMC analysis and hence the throughput expressions.…”

Section: Analytical Model For Performance Analysismentioning

confidence: 99%

Performance analysis of batching decisions in waveless order release environments for e‐commerce stock‐to‐picker order fulfillment

Bansal

Roy

Pazour

2020

Int Trans Operational Res

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Warehouse automation is increasingly adopted to manage throughput fluctuations in e‐commerce order fulfillment. This work develops queuing network models and solution methodologies for performance analysis of a stock‐to‐picker system that connects an upstream automated storage system to a downstream pick station. We focus on the pick station process, quantifying the throughput differences between a pick station that employs a static versus dynamic batching strategy. We consider a waveless order release environment where the item totes are requested from the storage system only when an order arrives. We capture throughput performance in this environment for single as well as multi‐line orders with/without item commonality by developing closed‐queuing network models. The consolidation of multiple product‐lines for a multi‐line order is modeled using fork–join synchronization stations within the closed queuing network. For analyzing such queuing networks, we develop a network‐decomposition based solution methodology. We validate the models using a simulation model of the upstream storage and downstream order‐picking system. We find that in waveless order release environment, dynamic batching always outperforms static batching in terms of system throughput. However, for single‐line orders, the percentage gain in the throughput (by implementing dynamic batching) decreases for smaller item tote inter‐arrival times. For multi‐line orders, dynamic batching increases the system throughput by 37–43%. We also analyze the effect of batch size on the throughput performance. The results indicate that the system throughput increases with an increase in the batch size under both batching policies. But, the marginal benefit reduces as we increase the batch size.

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“…Marchet et al [15] 错误 ! 未找到引用源。 , Wang et al [16] , Zou et al [17] and Tappia et al [18] proposed applicable queuing network to estimate the performance of the system and compare operation strategies.…”

Section: Introductionmentioning

confidence: 99%

Optimizing replenishment base on order structure in crane & shuttle based storage and retrieval system

Ma¹,

Wang²,

Hu³

et al. 2020

Preprint

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A new automatic warehouse sorting system, the crane & shuttle based storage and retrieval system (C&SBS/RS), is proposed in this paper. In C&SBS/RS, the crane-based storage and retrieval system (CBS/RS) in the pallet storage area provides the pallets picking, the shuttle-based storage and retrieval system (SBS/RS) in the tote storage area handles the cases and items picking. When the inventory in SBS/RS is lower than safety stock, SBS/RS initiates replenishment transaction. Besides, the order matrix is proposed to study order structure parameters, such as the order density, the order strength, the wave size and so on. Moreover, this paper analyzes the influence of order structure on the replenishment with four evaluation parameters, e.g., the workload of CBS/RS and SBS/RS, the number of used storage position in SBS/RS, the replenishment time. Numerical experiments are carried out to analysis the impact of the wave size and the proportion of high turnover SKU on those four evaluation parameters under multiple order structure, which is to help warehouse operation manager decide replenishment strategy parameters.

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Integrated storage-order picking systems: Technology, performance models, and design insights

Cited by 58 publications

References 46 publications

Example of Warehouse System Design Based on the Principle of Logistics

Example of Warehouse System Design Based on the Principle of Logistics

Performance analysis of batching decisions in waveless order release environments for e‐commerce stock‐to‐picker order fulfillment

Optimizing replenishment base on order structure in crane & shuttle based storage and retrieval system

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Integrated storage-order picking systems: Technology, performance models, and design insights

Cited by 58 publications

References 46 publications

Example of Warehouse System Design Based on the Principle of Logistics

Example of Warehouse System Design Based on the Principle of Logistics

Performance analysis of batching decisions in waveless order release environments for e‐commerce stock‐to‐picker order fulfillment

Optimizing replenishment base on order structure in crane &amp; shuttle based storage and retrieval system

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Optimizing replenishment base on order structure in crane & shuttle based storage and retrieval system