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Browsing by Subject "Production Control"

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A Framework for Online Detection and Reaction to Disturbances on the Shop Floor Using Process Mining and Machine Learning

Fischer, Markus; Pourbafrani, Mahsa; Kemmerling, Marco; Stich, Volker (Hannover : publish-Ing., 2020)

The shop floor is a dynamic environment, where deviations to the production plan frequently occur. While there are many tools to support production planning, production control is left unsupported in handling disruptions. ...
Applications of Machine Learning in Manufacturing from a Job Order and Product Perspective : An Overview

Denkena, Berend; Dittrich, Marc-André; Noske, Hendrik; Kramer, Kathrin; Schmidt, Matthias (Berlin : de Gruyter, 2021)

Machine learning as a subfield of artificial intelligence can contribute to accelerating the design of processes in manufacturing, reducing cycle times, improving quality, and making better use of production capacities. ...
Die Auftragsfreigabe – Unterschätzte Aufgabe der Fertigungssteuerung?

Mütze, Alexander; Brug, Denis (Berlin : De Gruyter, 2022-11-23)

Obwohl die Auftragsfreigabe als Bindeglied zwischen Produktionsplanung und Produktionssteuerung einen immensen Einfluss auf die Auftragsabwicklung und die Zielerreichung einer Produktion hat, scheint ihr in der Praxis eine ...
Deep Reinforcement Learning In Production Planning And Control: A Systematic Literature Review

Panzer, Marcel; Bender, Benedict; Gronau, Norbert (Hannover : publish-Ing., 2021)

Increasingly fast development cycles and individualized products pose major challenges for today's smart production systems in times of industry 4.0. The systems must be flexible and continuously adapt to changing conditions ...
Development of a decision support app for short term production control to improve the adherence to delivery dates

Steinlein, Felix; Liu, Yuan; Stich, Volker (Hannover : publish-Ing., 2020)

In manufacturing, adherence to delivery dates is one of the main logistic goals. The production control department has to cope with short-term deviations from the planned route sheets. Because of unforeseen disruptions, ...
Do We Really Know The Benefit Of Machine Learning In Production Planning And Control? A Systematic Review Of Industry Case Studies.

Kramer, Kathrin Julia; Rokoss, Alexander; Schmidt, Matthias (Hannover : publish-Ing., 2021)

The field of machine learning (ML) is of specific interest for production companies as it displays a perspective to handle the increased complexity within their production planning and control (PPC) processes in an ...
Explainable Deep Reinforcement Learning for Production Control

Theumer, Philipp; Edenhofner, Florian; Zimmermann, Roland; Zipfel, Alexander (Hannover : publish-Ing., 2022)

Due to the growing number of variants and smaller batch sizes manufacturing companies have to cope with increasing material flow complexity. Thus, increasing the difficulty for production planning and control (PPC) to ...
Interoperable Architecture For Logical Reconfigurations Of Modular Production Systems

Behrendt, Sebastian; Wurster, Marco; Strljic, Matthias; Klein, Jan-Felix; May, Marvin Carl; Lanza, Gisela (Hannover : publish-Ing., 2023)

Individualisation of products and ever-shorter product lifecycles require manufacturing companies to quickly reconfigure their production and adapt to changing requirements. While most of the existing literature focuses ...
Levels of Autonomy in Production Logistics: Terminology and Framework

Krä, Michaela; Eckart, Leonard; Rito, Marinella; Schilp, Johannes (Hannover : publish-Ing., 2022)

The increasing demand of flexibility in production systems influences the organisation of production logistics and enhances the role of autonomous resources for logistic tasks. In the current state of the art, there exists ...
Managing Disruptions in Production with Machine Learning

Samsonov, Vladimir; Enslin, Christmarie; Lütkehoff, Ben; Steinlein, Felix; Lütticke, Daniel; Stich, Volker (Hannover : publish-Ing., 2020)

Changing customer demands lead to increasing product varieties and decreasing delivery times, which in turn pose great challenges for production companies. Combined with high market volatility, they lead to increasingly ...
Modular Software Architecture for interfacing Online Scheduling Agents with Assembly Planning and Control Systems

Göppert, Amon; Rachner, Jonas; Kaven, Lea; Schmitt, Robert H. (Hannover : publish-Ing., 2022)

Production systems must be more resilient and adaptive due to mass customization and increasingly external disturbances, such as supply chain disruptions or changing policies. As the last chain in the production value ...
Setup-optimised Dispatching At Work Systems With Pallet Changers

Mütze, Alexander; Lebbing, Simon (Hannover : publish-Ing., 2023)

Setup-optimised dispatching at work systems is the subject of many investigations and studies. The considerations range from developing corresponding heuristics and analysing their effects on achieving logistical objectives ...

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