Distributed Camera Architecture for Seamless Detection and Tracking of Dynamic Obstacles

Scholz, Michael; Steinkamp, J.; Zwingel, Maximilian; Hefner, Florian; Franke, Jörg

doi:10.1016/j.procir.2020.02.186

Cited by 4 publications

(4 citation statements)

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“…Conventional warehouse systems “lack sufficient flexibility due to the rigid, specific, and inflexible features of material handling systems” (Güller et al, 2018, p. 225). Deploying smart intralogistics systems allows for more flexibility in integration with existing technologies (Fragapane et al, 2020; Scholz et al, 2020). For example, technologies such as AGV's intuitive user interface allow for rapid (re)deployment and integration with existing infrastructure and conveniently adapt to volume surges (Behrje et al, 2018; Karamanos et al, 2019).…”

Section: Resultsmentioning

confidence: 99%

“…Conventional warehouse systems "lack sufficient flexibility due to the rigid, specific, and inflexible features of material handling systems" (Güller et al, 2018, p. 225). Deploying smart intralogistics systems allows for more flexibility in integration with existing technologies (Fragapane et al, 2020;Scholz et al, 2020).…”

Section: Enabling Operational Excellencementioning

confidence: 99%

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Autonomous and IoT‐driven intralogistics for Industry 4.0 warehouses: A thematic analysis of the literature

Grover,

Ashraf

2024

Transp. j.

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Eyeing superior operational performance, transportation, and warehousing management, researchers have turned their much‐needed attention to autonomous and IoT‐driven intralogistics systems. Despite its potential, a systematic evaluation of its overall business needs and the criteria for its success at each stage of adoption is missing in the literature. Using the business analysis framework, augmented by the technology adoption model, this study seeks to provide the business context for adopting autonomous and IoT‐driven intralogistics by identifying business requirements and critical success factors for such systems. We thematically analyze 85 recent research articles on autonomous and IoT‐driven intralogistics systems to identify business requirements that are linked to the mission of maximizing operational profit for the warehousing and storage industry. Then, using the identified business requirements as a base, we thematically analyze those 85 research articles again to identify critical success factors at different stages of technology adoption, namely information, analysis, acquisition, and utilization. We use the findings to develop propositions for future researchers. These findings provide a foundation for developing empirical, descriptive, and normative research on adopting and managing these systems for the warehousing and storage industry.

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Section: Resultsmentioning

confidence: 99%

Section: Enabling Operational Excellencementioning

confidence: 99%

Autonomous and IoT‐driven intralogistics for Industry 4.0 warehouses: A thematic analysis of the literature

Grover,

Ashraf

2024

Transp. j.

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“…Overall, AMRs can help improve the performance of human operators, enable process visibility, facilitate space utilization, and provide a scalable infrastructure (Colling et al, 2018;M€ orth et al, 2020;Scholz et al, 2020;Winkler and Zinsmeister, 2019). However, literature on technology adoption among logistics and warehouses suggests that, in general, the industry has struggled with technology adoption.…”

Section: Theoretical Background 21 Warehouses and Autonomous Mobile R...mentioning

confidence: 99%

Leveraging autonomous mobile robots for Industry 4.0 warehouses: a multiple case study analysis

Grover,

Ashraf

2023

IJLM

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PurposeDespite its potential, warehouse managers still struggle to successfully assimilate autonomous mobile robots (AMRs) in their operations. This paper means to identify the moderating factors of AMR assimilation for production warehouses that influence the digital transformation of their intralogistics via AMRs.Design/methodology/approachDrawing on innovation of assimilation theory (IAT), this study followed an explorative approach using the principles of the case study method in business research. The cases comprised of four AMR end users and six AMR service providers. Data were collected through semi-structured interviews.FindingsFour clusters of moderators that affect each stage of AMR assimilation were identified. These clusters include organizational attributes of end users (i.e. production warehouses), service attributes of service providers, technology attributes of AMRs and relational attributes between the AMR service providers and the AMR end users.Originality/valueThe authors extend the IAT framework by identifying various moderating factors between different stages of the AMR assimilation process. To the authors' knowledge, this is the first study to introduce the perspective of AMR end users in conjunction with AMR service providers to the “Industry 4.0” technology assimilation literature. The study propositions regarding these factors guide future intralogistics and AMR research.

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“…The Figure 4 indicates the Scenario, aspects routing, sequencing and dispatching. Scholz et al [11], has used an AGV tracking system based on multiple rooftop cameras. Cameras capture tracking data for the purpose of getting a complete view of the complete tracking area.…”

Section: Figure 2 Flow Chart Of Fuzzy Logic Controller Based Genetic ...mentioning

confidence: 99%

Review on Optimization Techniques for AGV’s Optimization in Flexible Manufacturing System

GUPTA

2023

Gazi University Journal of Science

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Distributed Camera Architecture for Seamless Detection and Tracking of Dynamic Obstacles

Cited by 4 publications

References 5 publications

Autonomous and IoT‐driven intralogistics for Industry 4.0 warehouses: A thematic analysis of the literature

Autonomous and IoT‐driven intralogistics for Industry 4.0 warehouses: A thematic analysis of the literature

Leveraging autonomous mobile robots for Industry 4.0 warehouses: a multiple case study analysis

Review on Optimization Techniques for AGV’s Optimization in Flexible Manufacturing System

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