Storage assignment optimization for fishbone robotic mobile fulfillment systems

Wang, Yanyan; Man, Rongjun; Zhao, Wanmeng; Zhang, Honglin; Zhao, Hong

doi:10.1007/s40747-021-00597-2

Cited by 7 publications

(10 citation statements)

References 28 publications

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“…As the PSAP is usually solved with the ISAP, fewer scholars studied the PSAP alone. Wang et al [10] studied the PSAP in the singledeep layout of fshbone robotic mobile fulfllment systems (FRMFS). Tey proposed the pod allocation optimization model to maximize the picking efciency and balance the workload of each picking aisle.…”

Section: Te Study Of Psap In Rmfsmentioning

confidence: 99%

“…Tus, it is necessary to further study the joint optimization of ISAP and PSAP to reduce the system operation cost. Moreover, the SAP solution with no consideration of the workload balance in each picking aisle will increase the robots' congestion within the picking aisles and decrease the picking efciency [8][9][10]. Motivated by this, this article studies the joint optimization of item and pod storage allocation problems (J-IPSAP) with picking aisles' workload balance.…”

Section: Introductionmentioning

confidence: 99%

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Joint Optimization of Item and Pod Storage Assignment Problems with Picking Aisles’ Workload Balance in Robotic Mobile Fulfillment Systems

Zhang,

Tian,

Zhou

2024

Complexity

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The item and pod storage assignment problems, two critical issues at the strategic level in robotic mobile fulfillment systems, have a strong correlation and should be studied together. Moreover, the workload balance in each picking aisle needs to be considered in the storage assignment problems to avoid robots’ congestion within picking aisles. Motivated by these, the joint optimization of item and pod storage assignment problems (J-IPSAP) with picking aisles’ workload balance is studied. The mixed integer programming model of the J-IPSAP with the workload balance constraint is formulated to minimize the robots’ movement distance. The improved genetic algorithm (IGA) with the decentralized pod storage assignment strategy is designed to solve the J-IPSAP model. The experimental results show that the IGA can obtain high-quality solutions when compared with Gurobi and the two-stage heuristic algorithms. The robots’ movement distance is smallest when the width-to-length ratio of the storage area is close to 1, and the robots’ movement distance will increase with more stringent workload balance constraints.

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Section: Te Study Of Psap In Rmfsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Joint Optimization of Item and Pod Storage Assignment Problems with Picking Aisles’ Workload Balance in Robotic Mobile Fulfillment Systems

Zhang,

Tian,

Zhou

2024

Complexity

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“…Wang, Man, Zhao, Zhang and Zhao (2022) proposed a storage assignment optimization model using Adaptive Genetic Algorithm in order to reduce goods movement and travel distance and improve order-picking efficiency. The model addressed the robotic mobile fulfillment systems problem in a warehouse with a fishbone rack layout.…”

Section: Research Backgroundmentioning

confidence: 99%

Warehouse management optimization using a sorting-based slotting approach

Duque-Jaramillo,

Cogollo-Flórez,

Gómez-Marín

et al. 2024

JIEM

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Purpose: Slotting is one of the main operations in warehouse management. It is based on the efficient allocation of slots for stock-keeping units (SKUs). Order picking and slotting represent a high percentage of total logistics costs; therefore, improving these activities leads to significant savings in the overall performance. This paper aims to develop an allocation model integrating SKUs physical variables, warehousing design, and operation (dimensions, layout, material handling equipment), and heterogeneous product demand.Design/methodology/approach: The modeling methodology considers two phases. First, an integer linear programming model for warehousing spaces assignment for SKUs considering priority and required orders is developed. Then, the total operation times using different strategies are calculated.Findings: The effectiveness of the model was verified through simulation using historical data. The results showed that the best performance in the total time of the slotting operation is achieved by using the ABC as a criterion for the classification of the SKUs and by sequentially assigning the row, level, column, and the section.Practical implications: This approach can be adapted to different industrial sectors and serves as a basis for more robust models regarding the number of constraints or the incorporation of additional warehouse operating parameters.Originality/value: The most important contribution of this work is the development of a flexible and adaptable methodology to changes in the operation to improve the efficiency of storage management through slotting. Future work includes other objective functions of sustainable operations and uncertainty treatment techniques.

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“…Previous research was conducted on how the Robotic Mobile Fulfillment System (RMFS) affects conventional scheduling in warehouse operations [6]. Emphasis was placed on improving storage allocation for Fishbone Robotic Mobile Fulfillment Systems (FRMFS).…”

Section: A Order Assignment-ga Relatedmentioning

confidence: 99%

Hybrid Genetic Algorithms for Order Assignment and Batching in Picking System: A Systematic Literature Review

Ou,

Ismail,

Sariff

2024

IEEE Access

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The Order-Picking System (OPS) is vital for inbound logistics, ensuring efficient customer order fulfillment and minimizing costs. Efficient execution and implementation of OPS are critical to meeting customer demands and reducing dissatisfaction, necessitating a thorough examination of the process of order picking features. The order picking, a cornerstone of warehouse operations, involves meticulous selection and gathering of items from designated storage locations, unfolding through stages like order assignment and order batching. In order assignment, specific orders are methodically delegated to pickers or teams, considering factors like urgency, order size, item location, and picker availability. The overarching goal is to optimize resource utilization and simultaneously reduce the time needed for order fulfillment, ensuring a streamlined and efficient approach. Conversely, order batching strategically groups multiple orders for concurrent picking, aiming to minimize trips and enhance overall efficiency and productivity. Throughout the order-picking process, pickers utilize tools like pick lists, barcode scanners, and automated storage and retrieval systems (AS/RS) for precise item location and retrieval. Post-collection, items are transported to a dedicated packing area for meticulous preparations before shipping to the customer. Orchestrating the order-picking process requires careful planning, coordination, and execution for punctual and precise customer order fulfillment. This paper highlighted a systematic reviewing process which analyzed relevant research papers, with a primary focus on the problems of order assignment and batching-a key area within the order-picking process. The objective was to provide a comprehensive overview of hybrid Genetic Algorithm solutions for these challenges, achieved through a systematic review from 2018 to 2023 using Web of Science and Scopus databases. After screening, the relevant references were selected, focusing on terms like storage assignment problems. A thorough examination delved into various subcategories, encompassing recent approaches of genetic algorithms and openly accessible datasets. The resulting review offers a concise summary, highlighting key findings, challenges, and potential directions associated with hybrid genetic algorithms, specifically in relation to storage assignment, storage location assignment problems, and order batching issues.INDEX TERMS Order picking system, order assignment, order batching, hybrid genetic algorithms, systematic literature review

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Storage assignment optimization for fishbone robotic mobile fulfillment systems

Cited by 7 publications

References 28 publications

Joint Optimization of Item and Pod Storage Assignment Problems with Picking Aisles’ Workload Balance in Robotic Mobile Fulfillment Systems

Joint Optimization of Item and Pod Storage Assignment Problems with Picking Aisles’ Workload Balance in Robotic Mobile Fulfillment Systems

Warehouse management optimization using a sorting-based slotting approach

Hybrid Genetic Algorithms for Order Assignment and Batching in Picking System: A Systematic Literature Review

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