Stochastic premarshalling of block stacking warehouses

Maniezzo, Vittorio; Boschetti, Marco Antonio; Gutjahr, Walter J.

doi:10.1016/j.omega.2020.102336

Cited by 12 publications

(5 citation statements)

References 48 publications

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“…This is in contrast to the block relocation problem, where the objective was to retrieve the blocks according to the picking list and using a minimum number of relocations. The approach was later extended, including a statistical estimator that can account for uncertainties in the picking lists that will be received after pre-marshalling (Maniezzo et al 2020).…”

Section: Corridor Methodsmentioning

confidence: 99%

Matheuristics: using mathematics for heuristic design

Boschetti

Maniezzo

2022

4OR-Q J Oper Res

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Matheuristics are heuristic algorithms based on mathematical tools such as the ones provided by mathematical programming, that are structurally general enough to be applied to different problems with little adaptations to their abstract structure. The result can be metaheuristic hybrids having components derived from the mathematical model of the problems of interest, but the mathematical techniques themselves can define general heuristic solution frameworks. In this paper, we focus our attention on mathematical programming and its contributions to developing effective heuristics. We briefly describe the mathematical tools available and then some matheuristic approaches, reporting some representative examples from the literature. We also take the opportunity to provide some ideas for possible future development.

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Section: Corridor Methodsmentioning

confidence: 99%

Matheuristics: using mathematics for heuristic design

Boschetti

Maniezzo

2022

4OR-Q J Oper Res

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“…In terms of infeasibility avoidance and risk reduction, their method provides robust solutions. Maniezzo et al (2021) studied the pre-marshalling of the block stacking warehouse in a stochastic setting. pre-marshalling is the process of reordering SKUs in the lane to make future retrievals easier.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing warehouse operations for environmental sustainability: A simulation study for reducing carbon emissions and maximizing space utilization

Sadeghi¹,

Nikfar²,

Rad³

2024

10.5267/j.jfs

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Loading and unloading operations for Stock Keeping Units (SKUs) in warehouses are critical to logistics management systems. However, these operations also have a significant impact on the environment, particularly in terms of carbon dioxide (CO2) emissions. As such, warehouse management must consider not only operational efficiency but also environmental impact. The reduction of CO2 emissions in warehouses is becoming increasingly important, both for legal compliance and to meet sustainability targets. In this article, we will emphasize the environmental impact of warehouse operations, particularly on CO2 emissions, and explore ways to minimize them while still maximizing warehouse performance. We will review various optimization models proposed to address this issue and highlight the importance of considering environmental objectives when designing warehouse operations. We will also describe a simulation study conducted to determine the Pareto optimal frontier for a warehouse design, considering transportation, space utilization, and CO2 emissions. The outcomes of implementing this simulation's results include reduced CO2 emissions and increased space utilization, which demonstrate the potential benefits of considering environmental objectives in warehouse design and management.

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“…These approaches address the problem of storing items in such a way as not to block other retrieving items, or at least to minimize blocking situations, where an item is said to be blocked if one or more items with later retrieval times are stocked above/in front of it. To retrieve the current target item thus, other ones need to be removed from the current stack and located into other positions through premashalling and reshuffling operations (Carlo et al, 2014;Lehnfeld and Knust, 2014;Maniezzo et al, 2021). Revillot-Narváez et al (2020) consider a compact storage system composed of multi-level deep-racks accessible from the front, where items of different product types share the same lane.…”

Section: Storage Locations Assignment Addressing Retrieval Order Aspectsmentioning

confidence: 99%