Joint optimization of order sequencing and rack scheduling in the robotic mobile fulfilment system

Yang, Xiying; Hua, Guowei; Hu, Linyuan; Cheng, T.C.E.; Huang, Anqiang

doi:10.1016/j.cor.2021.105467

Cited by 35 publications

(10 citation statements)

References 28 publications

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“…Note here that in our work we explicitly consider rack inventory positions and the number of units of each product required by each order. This contrasts with previous work in the literature Boysen et al [2017], Fussler and Boysen [2019], Ouzidan et al [2020], Xie et al [2021], Yang et al [2021a], Zhuang et al [2021] which does not explicitly consider the number of units of each product stored in a rack, rather such work assumes that if a rack contains a product then it has sufficient of that product to satisfy all orders requiring that product. Note also here that our work considers multiple pickers simultaneously, in contrast to previous work that just considers one picker.…”

Section: Contributionmentioning

confidence: 84%

“…They also amended their approach to act as a heuristic for a real-world problem. Yang et al [2021a] considered the problem as to how, for a single picker and a given set of orders, to sequence the processing of the orders as well as how to decide the allocation and arriving sequence of racks. They do not explicitly consider the number of units of each product stored on a rack, rather they assume that if a rack contains a product then it has sufficient of that product to satisfy all orders requiring that product.…”

Section: Literature Reviewmentioning

confidence: 99%

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A two-stage approach for order and rack allocation in a mobile rack environment

Valle¹,

Beasley²

2021

Preprint

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In this paper we investigate a problem associated with operating a robotic mobile fulfilment system (RMFS). This is the problem of allocating orders and mobile storage racks to pickers.We present a two-stage formulation of the problem. In our two-stage approach we, in the first-stage, deal with the orders which must be definitely fulfilled (picked), where the racks chosen to fulfil these first-stage orders are chosen so as to (collectively) contain sufficient product to satisfy all orders. In the second-stage we restrict attention to those racks chosen in the first-stage solution in terms of allocating second-stage orders.We present three different strategies for first-stage order selection; one of these strategies minimises the requirement to make decisions as to the rack sequence (i.e. the sequence in which racks are presented to each picker).We present a heuristic procedure to reduce the number of racks that need to be considered and too present a heuristic for order and rack allocation based on partial integer optimisation that makes direct use of our two-stage formulation.Extensive computational results are presented for test problems that are made publicly available.

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Section: Contributionmentioning

confidence: 84%

Section: Literature Reviewmentioning

confidence: 99%

A two-stage approach for order and rack allocation in a mobile rack environment

Valle¹,

Beasley²

2021

Preprint

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“…In the large layouts, when the rack length is 80 m, the area occupancy is 5249 m 2 . Compared with the KIVA system [5,32], the area can accommodate nearly 100 pods, and each pod has a length and width of 1 m, and the height is 2 to 3 m. Then, the storage capacity in the KIVA system is 2000 to 4000, which is far less than the large layout (13440) in our system.…”

Section: Storage Capacity and Space Utilizationmentioning

confidence: 94%

“…[32] KIVA mobile fulfillment system parts-to-picker √ √ √ [29] Combination of the traditional RMFS and the puzzle-based storage system parts-to-picker √ √ √ [34] distribution center (DC) picker-to-parts √ √ - [5] RMFS parts-to-picker √ √ - [28] Collaborative human-robot order-picking system (CHR-OPS) picker-to-parts √ √ - [35] Autonomous mobile robot-assisted (AMR-assisted) order picking system picker-to-parts √ √ - [33] RMFS parts-to-picker √ -√ [23] Traditional warehouse picker-to-parts √ √ √ √ : the strategy is studied in the designated paper; -: the strategy is not studied in the designated paper.…”

Section: Pickingmentioning

confidence: 99%

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A Novel Parts-to-Picker System with Buffer Racks and Access Racks in Flexible Warehousing Systems

He,

Guan,

Hou

et al. 2024

Sustainability

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With the tremendous development of the logistics industry, the global market of automated warehousing has been growing rapidly. Meanwhile, the warehousing industry shows drawbacks, such as low storage capacity and poor efficiency. By comparing and analyzing the shuttle-based storage and retrieval system (SBS/RS), miniload automated storage and retrieval system (AS/RS), and KIVA system, a novel efficient parts-to-picker approach in flexible warehousing systems is proposed. Among them, buffer racks and access racks, associated with the access of automated mobile robots (AMRs) and stackers are used. The results show that compared with other parts-to-picker systems (such as the KIVA system), this system provides a significant increase in storage capacity (more than three times), and the picking efficiency is also very high at various layout scales, where the picking efficiency is no less than the KIVA system when the number of AMRs reaches the max. The novel system is suitable for small-, medium-, and large-scale warehouses in terms of showing high capacity and producing excellent space utilization. More importantly, this system can easily compete with its traditional counterparts by using a layout of high density without much increase in cost. This sustainable improvement realizes the efficient utilization of spatial resources and provides important support for the construction of green supply chains.

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A two stage approach for order and rack allocation with order backlog in a mobile rack environment

Valle,

Beasley

2024

Ann Oper Res

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Joint optimization of order sequencing and rack scheduling in the robotic mobile fulfilment system

Cited by 35 publications

References 28 publications

A two-stage approach for order and rack allocation in a mobile rack environment

A two-stage approach for order and rack allocation in a mobile rack environment

A Novel Parts-to-Picker System with Buffer Racks and Access Racks in Flexible Warehousing Systems

A two stage approach for order and rack allocation with order backlog in a mobile rack environment

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