Deterministic Planning for Flexible Intralogistics

Berndt, Maximilian; Fischer, Christoph; Krummacker, Dennis; Schotten, Hans D.

doi:10.23919/icac50006.2021.9594118

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…To achieve economic, technical, organizational, and sustainability objectives, manufacturing companies are faced to optimize these weaknesses. Therefore, material flow planning is performed (Pfohl 2023; Chakraborty/Saha 2022; Berndt et al 2021;Dickmann 2015). Concept planning is the first planning phase.…”

Section: Discussionmentioning

confidence: 99%

How can industrial management contribute to a brighter future?

2023

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Industrial management is facing many challenges, one need is to adopt sustainable practices. As climate change is becoming an increasingly urgent problem, industrial management must find ways to reduce waste and pollution, conserve natural resources, and protect the environment and employees. Industrial management also needs to embrace new technologies like virtual reality, artificial intelligence, and the Internet of Things. These challenges are becoming more prevalent, managers and decision makers must find ways to adopt these new technologies in order to remain competitive. Furthermore, with the workforce becoming more diverse and globalized organisations have to attract and retain top talent. For industrial management it is important to create an inclusive work environment. Current research approaches from the members of the Scientific Society for Work and Business Organisation (WGAB) are presented in this book.

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Section: Discussionmentioning

confidence: 99%

How can industrial management contribute to a brighter future?

2023

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“…The vehicles can be modeled in a way that the basic physics of the whole process are respected. Berndt et al used this approach to test a newly developed fleet controller for MRs in intralogistics in a simulation [2]. In their fleet controller software, they implemented special mechanisms for task scheduling, deadlock detection and collision avoidance.…”

Section: A Simulation Of Fleets Of Mobile Robotsmentioning

confidence: 99%

Software-In-The-Loop Test Bench For The Evaluation Of The Coordinative Fleet Control Approach In Intralogistics

Rothmeyer¹,

Fottner²

2023

ECMS 2023 Proceedings Edited by Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni

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A system coordinator for the intelligent forwarding of transport orders enables the combination of several fleets of intralogistic transport vehicles such as robots in one material flow system without them having to exchange information with each other. Evaluating the operation of this coordinator requires a simulation environment that represents all adjacent systems, creating a Software-in-the-Loop (SiL) environment. This includes upstream systems, e.g. ERP or ME systems, several fleet controllers as well as a material flow system with all vehicles including their interactions and possible failures. In this article, the conceptual design of such an SiL system is presented. Additionally, a proof-of-concept demonstrates the fundamental functionality. Python is used for the system coordinator and the analysis, openTCS for the fleet controllers and Siemens Plant Simulation for the material flow simulation. The communication in between uses HTTP and raw TCP packets, respectively.

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confidence: 99%

Conceptual Design of a Decision Support System for Material Flow Planning and its Transfer to Public Transport

Ecker,

Hayek,

Riester

et al. 2023

How Can Industrial Management Contribute to a Brighter Future?

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The lack of data-based decision-making prevents the creation of efficient, technically, and organizationally optimal material flows in intralogistics. This paper aims to develop a concept for a decision support system for optimizing forklift material flows based on sensor data. On the one hand, the efficiency and the data-drivenness of material flow planning shall be increased. On the other hand, a contribution to reducing logistics and material flow costs in manufacturing companies should be achieved. First, related works in sensor-based decision support for material flow planning are discussed. Then, a sensor-based concept of a decision support system for optimizing internal material flows of forklifts in manufacturing companies is developed. This concept consists of three layers. The data layer collects, prepares, and stores the required sensor data and additional constraints. The model layer integrates operations research methods to analyze, evaluate, and optimize internal material flows regarding the layout arrangement of sources and sinks, the forklift deployment and the order allocation, and the selection of optimal forklift types including proven automation. The knowledge layer prepares and visualizes the planning results to enable efficient and data-driven decisions by the planning team. In addition, the transfer to public transport is performed during the Öffi-Packerl research project. It is demonstrated that the transfer of industrial management methods to areas of application outside of production and logistics is possible. Partially, they must be adapted, but they still contribute to a significant added value outside of factories.

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Deterministic Planning for Flexible Intralogistics

Cited by 6 publications

References 12 publications

How can industrial management contribute to a brighter future?

How can industrial management contribute to a brighter future?

Software-In-The-Loop Test Bench For The Evaluation Of The Coordinative Fleet Control Approach In Intralogistics

Conceptual Design of a Decision Support System for Material Flow Planning and its Transfer to Public Transport

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