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Proceedings ArticleDOI

Value chain approach for modelling resilience of tiered supply chain networks

TLDR
In this article, the authors proposed a model that accounts for the evolution of SCNs through fitness based attachment, the tiered nature observed in real world SCNs, the value added process, from upstream to downstream of a typical supply chain, which captures heterogeneity of nodes at each tier, the heterogeneity in link weights, and the partial functionality, instead of complete omission, of nodes when simulating failures.
Abstract
Recent advances in network theory has encouraged the supply chain researchers to investigate the resilience of various supply chain network (SCN) topologies. In a typical SCN model, nodes and links represent the firms and their exchange relationships, respectively. A key requirement in such SCN models is accounting for node and link level heterogeneity, which can be used to more realistically represent the intricacies of real world SCNs. However, this requirement remains largely unaddressed in the contemporary literature. Accordingly, this work attempts to customize the standard network theoretic growth models and resilience metrics, to more closely represent the real world SCN characteristics. In particular, the model proposed in this paper accounts for: (1) the evolution of SCNs through fitness based attachment, (2) the tiered nature observed in real world SCNs, (3) the value added process, from upstream to the downstream of a typical supply chain, which captures heterogeneity of nodes at each tier, (4) the heterogeneity in link weights, and (5) the partial functionality, instead of complete omission, of nodes when simulating failures. The simulation results presented indicate that the proposed model, which closely represents the specific heterogeneous features between the individual network constituents, can be effectively utilized to gain valuable insights on resilience characteristics of real world SCNs.

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Citations
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Journal ArticleDOI

Modeling topologically resilient supply chain networks

TL;DR: Results analyzing the resilience of networks subjected to node disruptions show that networks synthesized using the proposed model can generally outperform its real-world counterpart.
Book ChapterDOI

Human Factor in Forecasting and Behavioral Inventory Decisions: A System Dynamics Perspective

TL;DR: In this paper, the authors explored the interrelation between judgmental inputs into forecasts and inventory decisions, and applied system dynamics theory at a multinational company dealing in the heavy industries sector.
Proceedings ArticleDOI

Close-Open Mixed Vehicle Routing Optimization Model with Multiple Collecting Centers to Collect Farmers' Perishable Produce

TL;DR: In this paper , a Greedy algorithm-based heuristic was used to obtain the initial solutions and several local search methods, including Guided Local Search (GLS), Simulated Annealing (SA), and Tabu Search (TS), were used to get the near-optimal solutions for the proposed problem.
Journal ArticleDOI

Manufacturing enterprise collaboration network: An empirical research and an evolutionary model

TL;DR: Simulation results show the proposed evolutionary model can reproduce a number of critical topological properties of empirical MECN, while the degree-based model does not, which validates the effectiveness of the suggested evolutionary model.
Proceedings ArticleDOI

Modeling of Layered Supply Chain Network Considering Similarity

TL;DR: A layered supply chain network model according to the types of companies in real supply chain networks is constructed, which has scale-free property and small-world property, which conform to the structural characteristics of the known supply network networks.
References
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Journal ArticleDOI

Emergence of Scaling in Random Networks

TL;DR: A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
Journal ArticleDOI

Competition and multiscaling in evolving networks

TL;DR: This work finds that competition for links translates into multiscaling, i.e. a fitness- dependent dynamic exponent, allowing fitter nodes to overcome the more connected but less fit ones.
Journal ArticleDOI

Supply network disruption and resilience: A network structural perspective

TL;DR: This study conceptualizes supply network disruption and resilience by examining the structural relationships among entities in the network by comparing four fundamental supply network structures, and shows that node/arc-level disruptions do not necessarily lead to network- level disruptions, and demonstrates the importance of differentiating a nodes/arc disruption vs. a network disruption.
Posted Content

Competition and multiscaling in evolving networks

TL;DR: This work finds that competition for links translates into multiscaling, i.e. a fitness dependent dynamic exponent, allowing fitter nodes to overcome the more connected but less fit ones.
Journal ArticleDOI

A complex network approach to supply chain network theory

TL;DR: This paper proposes that the structure of efficient supply chains follows a “scale‐free” network, and emerges from arguments that the key properties ofefficient supply chains are a short characteristic path length, a high clustering...
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