Performance evaluation for Robotic Mobile Fulfillment Systems with time-varying arrivals

Duan, Guofang; Zhang, Canrong; Gonzalez, Priscila; Qi, Mingyao

doi:10.1016/j.cie.2021.107365

Cited by 19 publications

(8 citation statements)

References 35 publications

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“…Still, others are not, such as that ''each order can only be processed in one workstation'' [11]. This phenomenon also occurs with other works [9], [49]. So, it is not possible to conclude how close to reality a paper is exclusively based on the number of assumptions.…”

Section: B Simulation Conditionsmentioning

confidence: 99%

“…Each one of these categories has eleven papers. In the former, there is not much variety in terms of the technique, as most entries incorporate Semi-Open Queuing Networks [9], [58] or Multi-Class Closed Queuing Networks [40]. But for the latter, options are more diverse.…”

Section: Techniquesmentioning

confidence: 99%

“…• Order assignment to workstations: The system must decide which order to assign first and how to distribute them to the various workstations available at any given time [9]- [11]. • Pod assignment to storage locations: Choosing a proper storage location for the pods is critical.…”

mentioning

confidence: 99%

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Robotic Mobile Fulfillment System: A Systematic Review

Benavides-Robles,

Valencia-Rivera,

Cruz-Duarte

et al. 2024

IEEE Access

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The Robotic Mobile Fulfillment System (RMFS) is a method for handling products, in which a Line Follower Robot (LFR) transports products to a human workstation for packing. In this systematic review, we delve into the current state of RMFS research using data sourced from Scopus. After a comprehensive search, we found 264 manuscripts, which we filtered to 76 relevant articles. Our analysis covers several variables, from basic metadata to manuscript impact and specific conditions the authors consider. We discovered that there needs to be more focus on the pod allocation problem, despite its potential, with the majority of the emphasis on LFR displacement. We created a detailed diagram that outlines the essential elements and subproblems associated with RMFS. As the interest in RMFS continues growing, our study provides crucial insights and direction for future research efforts.

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Section: B Simulation Conditionsmentioning

confidence: 99%

Section: Techniquesmentioning

confidence: 99%

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Robotic Mobile Fulfillment System: A Systematic Review

Benavides-Robles,

Valencia-Rivera,

Cruz-Duarte

et al. 2024

IEEE Access

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show abstract

“…To handle these problems and derive a better model, we introduce Semi-Open Queueing Networks (SOQNs) to model UMF production processes. SOQNs have been commonly used to evaluate system performance in many fields, including production systems [7], storage systems [8], hospitals [9], restaurants [10], container terminal [11] and interterminal transportation [12]. The current methods for solving SOQN (both single-and multi-class network) can be roughly classified into four categories: (1) matrix geometric method (MGM), (2) aggregation, (3) decomposition, and (4) performance bounds [13].…”

Section: Introductionmentioning

confidence: 99%

Production System Configuration Design for an Unmanned Manufacturing Factory

Luo,

Chen,

Zeng

et al. 2023

Advances in Transdisciplinary Engineering

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In Unmanned Manufacturing Factory (UMF), we consider a workstation consisting of a machine and several workbenches, each assigned an AGV to perform the parts transporting service. Every workpiece requires multiple processes at the same workbench, and the time for the AGV to transport a part is greater than the time for the machine to assemble it. This operating model is complex, as several workpieces corresponding to several workbenches are in service at the same time. We extract the production system into a Semi-Open Queuing Networks (SOQNs) model. We use four parameters to describe the states of the system and construct the transition rate matrix. We find that the matrix has a particular structure that enables us to solve it with Matrix Geometric Method (MGM). Following a First-Come-First-Served (FCFS) policy, the performance of this production system with unlimited queuing space is evaluated in terms of service intensity, queue length, sojourn time, and throughput. The numerical experiments demonstrate a significant reduction in the sojourn time of the workpiece in the system when the number of workbenches increases to a certain value. Our work can provide important suggestions for designing UMF.

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“…Such systems have other advantages, including saving on the cost of labor and improvements in the operational efficiency and order-picking accuracy. is makes them well suited for the tight deadlines of e-commerce [4,5]. For relevant research about RMFS, the reader is referred to the survey work of da Costa Barros and Nascimento [6].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Joint Impact of the Storage Assignment and Order Batching in Mobile-Pod Warehouse Systems

Yang

2022

Mathematical Problems in Engineering

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The rapid development of e-commerce has impacted the intelligence level of warehouses. The robotic mobile fulfillment system (RMFS) demonstrated that mobile-pod warehouse systems could process a significant number of order-picking operations within the same amount of time as other systems, saving money and improving operational efficiency. The order-picking mode in such a system is “parts-to-picker,” which is becoming both a prevailing operation mode in industrial warehouses and an encouraging research field during these years. One of the most significant fundamental factors in RMFS is the operational efficiency that is affected by storage assignment and order batching. This paper considers the joint impact of the storage assignment policies and order batching policies on order picking process. Our goal is to minimize the moving times of robots, which reflects the order-picking cost or efficiency. We propose using order similarity and item similarity to batch orders and assign item storage locations, respectively. Both the order batching and item grouping are tackled by a clustering model which is an integer linear program. We also develop a policy evaluation model to measure the order picking cost. We conduct numerical tests on six order batching and storage assignment policy combinations. A comparative analysis and an ANOVA analysis are then performed on the test results to compare the performances of these policy combinations. We find that the Weighted Support Count-based storage allocation combining with the correlation-based order batching achieves the best order-picking performance. Also, the more accurate information about the items and orders we can get from the historical data, the more order-picking workload we can save by exploiting the similarity features.

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Performance evaluation for Robotic Mobile Fulfillment Systems with time-varying arrivals

Cited by 19 publications

References 35 publications

Robotic Mobile Fulfillment System: A Systematic Review

Robotic Mobile Fulfillment System: A Systematic Review

Production System Configuration Design for an Unmanned Manufacturing Factory

Evaluation of the Joint Impact of the Storage Assignment and Order Batching in Mobile-Pod Warehouse Systems

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