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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Main Author: Florian Klug
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Modelling and Simulation in Engineering
Online Access:http://dx.doi.org/10.1155/2013/981710
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spelling 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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