Development and implementation of an autonomous control system for target-optimised use of intralogistics transport systems in the Learning Factory Werk 150 at Reutlingen University

Erdmann, Julian Grosse; Hummela, Vera; Leipzig, Konrad von; Schuhmacher, Jan

doi:10.1016/j.promfg.2020.04.044

Cited by 9 publications

(8 citation statements)

References 5 publications

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“…Rapidly changing market conditions have resulted in varying customer requirements, such as the need for custom‐made products, convenient delivery schedules, product‐specific packaging, and so forth, resulting in a need for more flexible warehouse operations capable of adapting and responding to customer needs (Erdmann, 2020; Güller et al, 2018; Krowas & Riedel, 2019). However, conventional warehouse systems lack such ability (Hummel & Schuhmacher, 2016).…”

Section: Resultsmentioning

confidence: 99%

“…This prevents resources and information from being shared among various functions and teams. However, smart intralogistics systems can align and sort data from multiple sources, such as sensors, IoT devices, PLCs, and so forth and then integrate it into the central database (Yao et al, 2018), enabling operators to have a holistic view of the operations (Erdmann, 2020). Such a holistic yet efficient flow of information between execution and decision systems allows warehouses to track and trace data by creating homogeneous databases, thereby leading to a progressive digital integration of different business units (Karunarathna et al, 2019).…”

Section: Resultsmentioning

confidence: 99%

“…Similarly, the induction of autonomous machines such as battery‐powered AGVs is more sustainable than existing approaches to transporting materials within the facility (Fragapane et al, 2022). Further, these robots can be used efficiently through an effective fleet management system, thereby achieving optimal performance (Erdmann, 2020). Similarly, smart intralogistics systems can enable the flow of real‐time data.…”

Section: Resultsmentioning

confidence: 99%

“…With IoT-supported platforms such as WMS or an ERP, the warehouse can predict the number of orders and optimize the picking and shipping of the goods accordingly (Winkler & Zinsmeister, 2019). An analytic database system can generate a forecast for a few months or even years (Erdmann, 2020) and make precise decisions related to workforce requirements, energy usage, asset utilization, and so forth.…”

Section: Enabling Autonomous Operationsmentioning

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: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Enabling Autonomous Operationsmentioning

confidence: 99%

See 2 more Smart Citations

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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“…These include loading and unloading operations, a set of cargo presented for transportation in a warehouse, packaging, etc. [10].…”

Section: Research Resultsmentioning

confidence: 99%

Impact of critically relevant factors on human resourcing in the transportation industry

Vinichenko

2020

SHS Web Conf.

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The article deals with the most significant aspects of developing human resourcing at transport enterprises. The transportation industry is one of the most important both from the point of view of the national economy and the life support of an individual. The success of the transportation industry depends largely on human resources. Currently, there are two models of staff training for the transportation industry around the world: in narrowly focused specialized educational organizations or in classical universities at specialized transport faculties, departments and schools. Both models are subject to the same influence of external factors. Structural transformation of the global economy, as well as processes of sustainable development and digitalization play a special role. The article attempts to reflect the impact of a number of factors on the staffing of the transportation industry, as well as to consider ways to reduce their negative impact.

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Challenges for Intermodal Transport in the Twenty-First Century: Reduction of Environmental Impact Due the Integration of Green Transport Modes

Čižiūnienė

Бурейка

Matijošius

2022

Studies in Systems, Decision and Control

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Development and implementation of an autonomous control system for target-optimised use of intralogistics transport systems in the Learning Factory Werk 150 at Reutlingen University

Cited by 9 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

Impact of critically relevant factors on human resourcing in the transportation industry

Challenges for Intermodal Transport in the Twenty-First Century: Reduction of Environmental Impact Due the Integration of Green Transport Modes

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