The paper extends the Autonomous Logistics Engineering Methodology (ALEM) by a deeper understanding of immaterial logistic objects to trigger manufacturing processes. Further, a hierarchical modeling concept is introduced to split customer orders logically into partial orders, which run directly at the shop floor level. Each partial order consists of certain manufacturing steps. The amendments enable adequate modeling of autonomous manufacturing processes. The research is a further step to integrate autonomously controlled processes in logistics.
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
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