A Comparative View on Existing Autonomous Control Approaches: Observations from a Simulation Study

Becker, Till; Windt, Katja

doi:10.1007/978-3-642-19469-6_20

Cited by 4 publications

(2 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Simulation studies investigate the throughput of vehicles through a vehicle compound and compare it for different autonomous control methods (Windt et al 2010;Becker and Windt 2011). The studies view two processes on the compound: the selection of a parking space (storage process) and the subsequent optional passage through a technical service center (manufacturing process).…”

Section: Autonomous Control Methods For Process Controlmentioning

confidence: 99%

Automobile Logistics 4.0: Advances Through Digitalization

Hoff-Hoffmeyer-Zlotnik

Teucke

Oelker

et al. 2021

Dynamics in Logistics

View full text Add to dashboard Cite

In today’s buyer’s markets, logistical service quality is of great importance, particularly for high-priced products. For many buyers, the automobile is the epitome of a high-priced, individually customized product. Hence, customers expect a high delivery service quality. Distribution logistics provides the link between the manufacturer and the customer and is therefore responsible for providing these services. In automobile logistics, the distribution chain involves several stakeholders, such as manufacturers, transport, and technical services providers, as well as dealers. Seamless coordination between them is crucial. Digitalization is an inevitable means for gaining a high level of transparency among the stakeholders. In addition, it provides technologies for developing effective and tailor-made assistance and control systems that support processes along the distribution chain. In recent years, the BIBA—Bremer Institut für Produktion und Logistik GmbH has been active in automobile logistics research and has been involved in developing several assistant and control systems that range from relatively simple track and trace systems to highly complex compound control systems. In this paper, we present an overview of the developed systems and provide a vision, how recent and ongoing research improves automobile logistics and how to further potential can be leveraged.

show abstract

Section: Autonomous Control Methods For Process Controlmentioning

confidence: 99%

Automobile Logistics 4.0: Advances Through Digitalization

Hoff-Hoffmeyer-Zlotnik

Teucke

Oelker

et al. 2021

Dynamics in Logistics

View full text Add to dashboard Cite

show abstract

“…For instance, methods aiming at minimization of traveling times may cause low utilization of the parking areas. In contrast, other methods may cause opposite effects (Becker and Windt 2011;Windt et al 2010b).…”

Section: Finished Vehicle Logisticsmentioning

confidence: 99%

Autonomous Control of Logistic Processes: A Retrospective

Schukraft

Teucke

Freitag

et al. 2021

Dynamics in Logistics

View full text Add to dashboard Cite

Manufacturing and logistic service companies are increasingly confronted with high dynamics and complexity. Due to its particular suitability for short-term and situation-dependent decision-making, autonomous control can improve planning and control of production and related transportation processes. This chapter gives an overview of the research that the BIBA—Bremer Institut für Produktion und Logistik GmbH has performed over the past years in the field of autonomously controlled production and transportation networks. The chapter focuses on the modeling approaches and the autonomous control methods that have been developed. These methods have been evaluated using both theoretical and real-world scenarios. The results show the applicability and suitability of autonomous control in complex and dynamic production and transportation environments. In addition, influences on the methods’ performance and the integration of autonomous control into conventional planning and control systems are discussed. Finally, the chapter looks at the significance of autonomous control in the context of Industry 4.0 and shows the relations between both concepts.

show abstract