The Supply Chain Triangle: How Synchronisation, Stability, and Productivity of Material Flows Interact
Empirical evidence created a commonly accepted understanding that synchronisation and stability of material flows impact its productivity. This crucial link between synchronous and stable material flows by time and quantity to create a supply chain with the highest throughput rates is at the heart o...
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Series: | Modelling and Simulation in Engineering |
Online Access: | http://dx.doi.org/10.1155/2013/981710 |
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doaj-4d5cbccfc06945feba7081dcecff3acd2020-11-24T22:28:07ZengHindawi LimitedModelling and Simulation in Engineering1687-55911687-56052013-01-01201310.1155/2013/981710981710The Supply Chain Triangle: How Synchronisation, Stability, and Productivity of Material Flows InteractFlorian Klug0Department of Business Administration, University of Applied Sciences Munich, Am Stadtpark 20, 81243 München, GermanyEmpirical evidence created a commonly accepted understanding that synchronisation and stability of material flows impact its productivity. This crucial link between synchronous and stable material flows by time and quantity to create a supply chain with the highest throughput rates is at the heart of lean thinking. Although this supply chain triangle has generally been acknowledged over many years, it is necessary to reach a finer understanding of these dynamics. Therefore, we will develop and study supply chains with the help of fluid dynamics. A multistage, continuous material flow is modelled through a conservation law for material density. Unlike similar approaches, our model is not based on some quasi steady-state assumptions about the stochastic behaviour of the involved supply chain but rather on a simple deterministic rule for material flow density. These models allow us to take into account the nonlinear, dynamical interactions of different supply chain echelons and to test synchronised and stable flow with respect to its potential impacts. Numerical simulations verify that the model is able to simulate transient supply chain phenomena. Moreover, a quantification method relating to the fundamental link between synchronisation, stability, and productivity of supply chains has been found.http://dx.doi.org/10.1155/2013/981710 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Florian Klug |
spellingShingle |
Florian Klug The Supply Chain Triangle: How Synchronisation, Stability, and Productivity of Material Flows Interact Modelling and Simulation in Engineering |
author_facet |
Florian Klug |
author_sort |
Florian Klug |
title |
The Supply Chain Triangle: How Synchronisation, Stability, and Productivity of Material Flows Interact |
title_short |
The Supply Chain Triangle: How Synchronisation, Stability, and Productivity of Material Flows Interact |
title_full |
The Supply Chain Triangle: How Synchronisation, Stability, and Productivity of Material Flows Interact |
title_fullStr |
The Supply Chain Triangle: How Synchronisation, Stability, and Productivity of Material Flows Interact |
title_full_unstemmed |
The Supply Chain Triangle: How Synchronisation, Stability, and Productivity of Material Flows Interact |
title_sort |
supply chain triangle: how synchronisation, stability, and productivity of material flows interact |
publisher |
Hindawi Limited |
series |
Modelling and Simulation in Engineering |
issn |
1687-5591 1687-5605 |
publishDate |
2013-01-01 |
description |
Empirical evidence created a commonly accepted understanding that synchronisation and stability of material flows impact its productivity. This crucial link between synchronous and stable material flows by time and quantity to create a supply chain with the highest throughput rates is at the heart of lean thinking. Although this supply chain triangle has generally been acknowledged over many years, it is necessary to reach a finer understanding of these dynamics. Therefore, we will develop and study supply chains with the help of fluid dynamics. A multistage, continuous material flow is modelled through a conservation law for material density. Unlike similar approaches, our model is not based on some quasi steady-state assumptions about the stochastic behaviour of the involved supply chain but rather on a simple deterministic rule for material flow density. These models allow us to take into account the nonlinear, dynamical interactions of different supply chain echelons and to test synchronised and stable flow with respect to its potential impacts. Numerical simulations verify that the model is able to simulate transient supply chain phenomena. Moreover, a quantification method relating to the fundamental link between synchronisation, stability, and productivity of supply chains has been found. |
url |
http://dx.doi.org/10.1155/2013/981710 |
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