A generic implementation approach of autonomous control methods in production logistics

2010 ◽  
Author(s):  
Katja Windt ◽  
Till Becker ◽  
Dimitar Asenov ◽  
Farhad Arbabzadah
Keyword(s):  
Autonomous Control ◽  
Control Methods ◽  
Production Logistics ◽  
Implementation Approach

Planorientierte autonome Fertigungssteuerung*/Schedule-oriented autonomous production control

2015 ◽  
Vol 105 (04) ◽  
pp. 220-224
Author(s):  
S. Grundstein ◽  
S. Schukraft ◽  
M. Freitag ◽  
B. Scholz-Reiter
Keyword(s):  
Production Control ◽  
Industrie 4.0 ◽  
Control Methods ◽  
Due Dates ◽  
Industrial Practice ◽  
Production Logistics ◽  
Schedule Adherence

Die situationsabhängige Steuerung produktionslogistischer Prozesse ist im Kontext von Industrie 4.0 von zunehmender Bedeutung. Dem steht in der Praxis die Anforderung der Einhaltung zentraler Planvorgaben entgegen. In diesem Fachbeitrag wird simulationsbasiert der Einfluss der Planorientierung autonomer und konventioneller Fertigungssteuerungsverfahren auf die Erreichung logistischer und planerischer Ziele unter dynamischen Bedingungen untersucht, wobei eine detaillierte Betrachtung der Termintreue erfolgt.   The situation-dependent control of production logistics processes is of increasing relevance in the context of Industrie 4.0 (Integrated Industry). However, it is also important in industrial practice to stick to arranged production schedules. Therefore, this article examines the influence of schedule-orientation of production control methods on logistic performance and schedule adherence under dynamic circumstances paying particular attention to the adherence to due dates.

scholarly journals Integration of condition based maintenance orders into the decision-making of autonomous control methods

Procedia CIRP ◽  
2019 ◽  
Vol 81 ◽  
pp. 216-221 ◽  
Author(s):  
Fabian Foerster ◽  
Daniel Mueller ◽  
David Scholz ◽  
Alexander Michalik ◽  
Lorenz Kiebler
Keyword(s):  
Decision Making ◽  
Autonomous Control ◽  
Condition Based Maintenance ◽  
Control Methods

scholarly journals Autonomous control methods in logistics – A mathematical perspective

2012 ◽  
Vol 36 (7) ◽  
pp. 2947-2960 ◽  
Author(s):  
Sergey Dashkovskiy ◽  
Michael Görges ◽  
Lars Naujok
Keyword(s):  
Autonomous Control ◽  
Control Methods

scholarly journals Evaluation System for Autonomous Control Methods in Coupled Planning and Control Systems

Procedia CIRP ◽  
2015 ◽  
Vol 33 ◽  
pp. 121-126 ◽  
Author(s):  
S. Grundstein ◽  
S. Schukraft ◽  
B. Scholz-Reiter ◽  
M. Freitag
Keyword(s):  
Control Systems ◽  
Evaluation System ◽  
Autonomous Control ◽  
Control Methods ◽  
Planning And Control ◽  
And Control

A classification pattern for autonomous control methods in logistics

2010 ◽  
Vol 2 (2) ◽  
pp. 109-120 ◽  
Author(s):  
Katja Windt ◽  
Till Becker ◽  
Oliver Jeken ◽  
Achim Gelessus
Keyword(s):  
Autonomous Control ◽  
Control Methods ◽  
Classification Pattern

scholarly journals Autonomous Control of Logistic Processes: A Retrospective

2021 ◽  
pp. 3-34
Author(s):  
Susanne Schukraft ◽  
Michael Teucke ◽  
Michael Freitag ◽  
Bernd Scholz-Reiter
Keyword(s):  
Decision Making ◽  
Industry 4.0 ◽  
Transportation Networks ◽  
Autonomous Control ◽  
Control Methods ◽  
Service Companies ◽  
Planning And Control ◽  
Logistic Service ◽  
High Dynamics ◽  
And Control

AbstractManufacturing 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.

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