scholarly journals Material Flow Simulation of Logistics Processes - An Approach of Online Analysis, Planning and Control of Logistics Processes of Supply Chains

2017 ◽  
Author(s):  
David Weigert ◽  
Tobias Reggelin ◽  
Juri Tolujew
Keyword(s):  
Supply Chains ◽  
Material Flow ◽  
Flow Simulation ◽  
Online Analysis ◽  
Planning And Control ◽  
And Control

Modern Planning and Control and Virtual Verification of Process Continuity of a New Production Line

2014 ◽  
Vol 708 ◽  
pp. 167-172
Author(s):  
Pavol Božek ◽  
Marek Kňažík ◽  
Vladimír Štollmann
Keyword(s):  
Production Line ◽  
Material Flow ◽  
Flow Simulation ◽  
Simulation Software ◽  
Practical Implementation ◽  
Concept Design ◽  
New Production ◽  
Planning And Control ◽  
And Control

The paper describes one practical implementation of the Digital Factory concept – design of a new production line using modern planning method of virtual testing and control of processes. The project covered graphical facility design, detailed design of operations and material flow simulation. This case study shows facility process planning, commission and in the end finding the optimization rules and corrective actions to increase existing casting line throughput. All phases of the project were carried out using simulation software, duration of the project was 6 months. Simulation software WITNESS has been used for material flow simulation.

Echtzeitabbild der Produktion/Real-time image of production. Material flow simulation during operation

2020 ◽  
Vol 110 (04) ◽  
pp. 214-219
Author(s):  
Toni Donhauser ◽  
Udo Endter ◽  
Torben Schmidt ◽  
Lukas Baier ◽  
Peter Schuderer ◽  
...  
Keyword(s):  
Material Flow ◽  
Flow Simulation ◽  
Limited Extent ◽  
Dynamic Interactions ◽  
Time Dynamic ◽  
Planning And Control ◽  
Real Time Image ◽  
Simulation Functions ◽  
And Control ◽  
Time Image

Systeme zur Produktionsplanung und -steuerung (PPS) können zeitdynamische Wechselwirkungen nur bedingt berücksichtigen. Dies wird erst durch zusätzliche Simulationsfunktionen in Form einer simulationsgestützten Optimierung möglich und führt so zu effizienteren und besser umsetzbaren Plänen. Der erforderliche produktionssynchrone digitale Zwilling entsteht durch geeignete Anbindung des Simulationsmodells an betriebliche Automatisierungs- und Erfassungssysteme. Diese Verknüpfung wird hier im Detail erläutert.   Systems for production planning and control (PPC) can only consider time-dynamic interactions to a limited extent. This is enabled by adding simulation functions, leading to more efficient and viable plans. Appropriate interfacing of the simulation model to operational automation and data acquisition systems creates the required production-synchronous digital twin. This linking is explained in detail in this article.

scholarly journals Lead Times – Their Behavior and the Impact on Planning and Control in Supply Chains

2017 ◽  
Vol 8 (2) ◽  
pp. 30-40 ◽  
Author(s):  
Peter Nielsen ◽  
Zbigniew Michna ◽  
Brian Bruhn Sørensen ◽  
Ngoc Do Anh Dung
Keyword(s):  
Supply Chains ◽  
Lead Time ◽  
Large Impact ◽  
Lead Times ◽  
Stochastic Nature ◽  
Planning And Control ◽  
And Control ◽  
The Impact ◽  
Independent And Identically Distributed

AbstractLead times and their nature have received limited interest in literature despite their large impact on the performance and the management of supply chains. This paper presents a method and a case implementation of the same, to establish the behavior of real lead times in supply chains. The paper explores the behavior of lead times and illustrates how in one particular case they can and should be considered to be independent and identically distributed (i.i.d.). The conclusion is also that the stochastic nature of the lead times contributes more to lead time demand variance than demand variance.

Simulationsbasierte Produktionsassistenz*/Simulation-driven operation assistance

2018 ◽  
Vol 108 (03) ◽  
pp. 148-154
Author(s):  
G. Höllthaler ◽  
C. Richter ◽  
M. Hörmann ◽  
A. Zipfel ◽  
J. Fischer ◽  
...  
Keyword(s):  
Production Planning ◽  
Material Flow ◽  
Production Systems ◽  
General Description ◽  
Production Planning And Control ◽  
Planning And Control ◽  
Simulation Based ◽  
Production Area ◽  
And Control ◽  
Detailed Presentation

Mit zunehmender Komplexität in Produktionssystemen, die sich auch aus der steigenden Variantenvielfalt ergibt, sind Entscheider im Produktionsumfeld mit immer komplexeren Fragestellungen konfrontiert. Zur Entscheidungsunterstützung stellt dieser Beitrag ein simulationsbasiertes Assistenzsystem vor. Neben einer allgemeinen Beschreibung des Aufbaus des Assistenzsystems wird im Detail der integrierte Materialflussservice betrachtet, der zur Beantwortung von Fragen rund um die Produktionsplanung und -steuerung zum Einsatz kommt.   An increasing complexity in production systems resulting, for example, from a growing number of variants, gives rise to more complex issues which stakeholders in the production area have to cope with. To support these stakeholders, this paper introduces a novel simulation-based assistant system. In addition to the general description of the assistant system’s setup, a detailed presentation of the integrated material flow service is given. This service deals with issues of production planning and control.

Physiksimulation cyber-physischer Produktionssysteme*/Physical simulation of cyber-physical production systems – Planning and control of cyber-physical production systems using physical simulation

2018 ◽  
Vol 108 (04) ◽  
pp. 217-220
Author(s):  
M. Glatt ◽  
J. Aurich
Keyword(s):  
Material Flow ◽  
Physical Simulation ◽  
Production Systems ◽  
Lead Times ◽  
Planning And Control ◽  
Systems Planning ◽  
Flow Processes ◽  
Simulation Results ◽  
Cyber Physical Production Systems ◽  
And Control

Cyber-physische Produktionssysteme erlauben die wirtschaftliche Herstellung kundenindividueller Produkte in großen Stückzahlen. In diesem Beitrag wird gezeigt, wie die physikalische Modellierung genutzt werden kann, um Materialflussprozesse in cyber-physischen Produktionssystemen zu simulieren. Ziel ist, durch simulationsbasierte Steuerungseingriffe Störungen im Materialfluss zu reduzieren und Durchlaufzeiten zu verringern.   Cyber-physical production systems make it possible to economically manufacture customized products in large quantities. The goal of this article is to show how physical modeling can be used to simulate material flow processes in cyber-physical production systems. Based on the simulation results, control interventions can contribute to reduce disruptions in the material flow and shorten lead times.

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