Configuring the Infrastructure of Autonomous Logistics' Control Systems

Abstract

Abstract-Autonomous control is a suitable concept in order to increase the flexibility and robustness of logistic systems by enabling decentralized decision-making and execution at the system elements. However, design of the corresponding control system's infrastructure is complex due to a high number of possible configurations. Further, logistic process experts have to consider several domain specific functional and nonfunctional requirements. Thereto, this paper introduces a three-phase procedure model, which guides logistics experts through the configuration process of the infrastructure of autonomous logistics' control systems. The model employs general design concepts of procedure models and composes them to a new, application area specific model that fits the needs of autonomously controlled logistic systems. Autonomous Logistic Control System, Infrastructure Configuration, Procedure Model

Development of an Intelligent Warehouse and Autonomously Controlled Intralogistics Scenario to Investigate the Mastering of Short-Term Turbulences at Werk150

“…Furthermore, the potential of flexible production systems cannot be fully exploited through the use of conventional, hierarchical control due to the arising complexity of the system [3,4]. Autonomous control enables to deal with increasing complexity and dynamics and thus increases the flexibility and robustness of production and intralogistics systems based on decentralized information processing, decision-making and execution at the system element level [5]. For example, the autonomous control of intralogistics processes offers the potential to adjust material provisioning when production-related turbulences (e.g.…”