Proceedings ArticleDOI
A multi-paradigm simulator for simulating complex adaptive supply chain networks
TLDR
In this article, a multi-paradigm dynamic system simulator based on discrete time and discrete event formalism for simulating a supply chain as a complex adaptive system is presented.Abstract:
This paper introduces a multi-paradigm dynamic system simulator based on discrete time and discrete event formalism for simulating a supply chain as a complex adaptive system. Little is known about why such a diversity of supply chain structures exist. Simulating dynamic supply chain networks over extended periods using the multi-paradigm dynamic system simulator allows us to observe the emergence of different structures. The simulator is implemented using a software agent technology, where individual agents represent firms in a supply chain network. In this paper, we present an example scenario run on the simulator and the preliminary results that have been observed. This multi-paradigm tool provides a valuable investigation instrument for real life supply chain problems.read more
Citations
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Journal ArticleDOI
The evolutionary complexity of complex adaptive supply networks: A simulation and case study
TL;DR: A model and simulation of the evolution of CASNs based on complex adaptive system and fitness landscape theory indicates the evolutionary complexities such as emergence, quasi-equilibrium, chaos, and lock-in of CASN.
Journal ArticleDOI
A conceptual framework for analysing risk in supply networks
SK Cheng,Booi Hon Kam +1 more
TL;DR: The study finds that dynamics of risk in network systems depend not only on the typology of networks, but a...
Journal ArticleDOI
Modeling and simulation of supply network evolution based on complex adaptive system and fitness landscape
TL;DR: An evolution model of SNs is proposed in order to understand the general principle of SN evolution, and a multi-agent simulation on the evolution model discloses that the SN emerges and evolves from firms' dynamic interaction under the dynamic environment.
Journal ArticleDOI
Modeling and distributed simulation of supply chain with a multi-agent platform
Qingqi Long,Jie Lin,Zhixun Sun +2 more
TL;DR: A multi-agent platform framework with multi-layers for modeling and distributed simulation of the complex supply chain is presented and a novel simulation modeling approach enabled by the platform is proposed.
Journal ArticleDOI
Development and analysis of a customer-demand-driven semiconductor supply chain model using the High Level Architecture
Chin Soon Chong,Peter Lendermann,Boon-Ping Gan,Brett Marc Duarte,John W. Fowler,Thomas E. Callarman +5 more
TL;DR: A distributed simulation model is developed that can be used to study how the frequency of inventory updates and demand changes affect the on-time-delivery (OTD) performance of the entire supply chain.
References
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TL;DR: In this paper, the authors present a rigorous mathematical foundation for modeling and simulation and provide a comprehensive framework for integrating the various simulation approaches employed in practice, including cellular automata, chaotic systems, hierarchical block diagrams, and Petri nets.
Journal ArticleDOI
Supply networks and complex adaptive systems: Control versus emergence
TL;DR: In this article, the authors argue that many supply networks emerge rather than result from purposeful design by a singular entity and that the emergent patterns in a supply network can much better be managed through positive feedback, which allows for autonomous action.
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TL;DR: In this article, the authors present a short history of the Perturbation Analysis development and its application in discrete event dynamic systems (DEDS) and compare the performance of different types of DEDS.
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TL;DR: The aim of this text is to teach the student what discrete event systems are about and how they differ from "classical systems"; describe the differences between various modelling approaches; and show how to simulate DES using commercially-available software or from first principles.