Path Planning for Multiple Mobile Robots in Smart Warehouse

Bolu, Ali; Korçak, Ömer

doi:10.1109/iccma46720.2019.8988635

Cited by 18 publications

(11 citation statements)

References 6 publications

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“…In a the warehouse, human workers work only in pick and replenishment stations, and the rest is no-human zone. • Turning cells (3 in Figure 1): A pod may have multiple faces and an item can be reached only through a single face [17]. There are two types of pods according to the number of faces: two-directional and four-directional (pods that can be seen in Figure 2 are two-directional).…”

Section: Model and Methodology A System Modelmentioning

confidence: 99%

“…Robot path planning is implemented according to the modified collision free A* algorithm proposed in our previous work [17]. However in this study, we implement some modifications as follows.…”

Section: A Simulation Environmentmentioning

confidence: 99%

“…Therefore we set the same cost as the opposite direction movement for moving under the pods. Path planning is out of the scope of this paper so we skip the details to [17].…”

Section: A Simulation Environmentmentioning

confidence: 99%

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Adaptive Task Planning for Multi-Robot Smart Warehouse

Bolu

Korçak

2021

IEEE Access

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Section: Model and Methodology A System Modelmentioning

confidence: 99%

Section: A Simulation Environmentmentioning

confidence: 99%

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Adaptive Task Planning for Multi-Robot Smart Warehouse

Bolu

Korçak

2021

IEEE Access

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“…However, extant smart-warehousing research is fragmented when it comes to its substance (see, e.g. Bolu and Korcak, 2019;Chung, 2021;Zhang et al, 2021). Previous research has instead listed or developed sub-applications of smart technologies that could be used.…”

Section: Introductionmentioning

confidence: 99%

“…However, extant smart-warehousing research is fragmented when it comes to its substance (see, e.g. Bolu and Korcak, 2019; Chung, 2021; Zhang et al. , 2021).…”

Section: Introductionmentioning

confidence: 99%

The transformation from manual to smart warehousing: an exploratory study with Swedish retailers

Kembro

Norrman

2022

IJLM

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PurposeTo meet customers' expectations on shorter lead times, high product availability, flexibility, and variation in delivery and return options, retailers have turned their attention to warehousing and are making big investments in technology. Currently, technology providers are pushing for smart warehousing, a new and under-researched phenomenon. This study aims to conceptualize the term and examine pathways toward implementing smart warehousing.Design/methodology/approachAn exploratory survey was administered to 50 leading Swedish retailers in varying segments. A two-tailed t-test for equality of means was used to detect significant differences between current and future states.FindingsThe study found that future smart warehouses will be automated, autonomous, digital, and connected, but that retailers will follow different paths along this journey, driven by contextual trends, e.g. sales growth, wider product assortment, shorter lead-time offerings, and integration of brick-and-mortar and online stores. Interestingly, the study revealed that many of the retailers that aim to create smart warehouses in five years are not the retailers with the most developed technology today.Research limitations/implicationsThe paper operationalizes smart warehousing in two dimensions: degree of automation and degree of digitalization and connectivity of information platforms. Based on the findings, 16 theoretical propositions are put forth that, based on contextual factors, explain different pathways for retailers to implement smart warehousing.Practical implicationsThe empirical insights and theoretical discussions provide practically useful guidance, including outlined trends, for selecting and benchmarking automation and complementary technologies in warehouse operations.Originality/valueThis paper conceptualizes and operationalizes smart warehousing – an original approach. It is also one of the first to investigate the technological transformation in retail warehousing empirically, explaining how and why retailers choose different pathways toward smart warehousing.

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