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Modeling defaults of companies in multi-stage supply chain networks · Study

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ArticleModeling defaults of companies in multi-stage supply chain networks

Kamil J. Mizgier2010

Article2010

Modeling defaults of companies in multi-stage supply chain networks

Kamil J. Mizgier · Stephan M. Wagner · Janusz A. Hołyst

104 citations·0/0 files stored·International Journal of Production Economics

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Complex Systems and Time Series Analysis Complex Network Analysis Techniques Supply Chain Resilience and Risk Management

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References

1997Information Distortion in a Supply Chain: The Bullwhip Effect 2000Supply Chain Management: Strategy, Planning and Operations 2003Supply Chain Management: Strategy, Planning, and Operation 2005Managing Disruption Risks in Supply Chains 2008Facility location and supply chain management – A review 2001Supply networks and complex adaptive systems: control versus emergence 2007Supply Chain Management. Strategy, Planning & Operation 2004A stochastic programming approach for supply chain network design under uncertainty

Cited by

2019Uncertain risk assessment modelling for bus body manufacturing supply chain using AHP and fuzzy AHP 2022Approaching towards sustainable supply chain under the spotlight of business intelligence 2016Exploring correlations in components of green supply chain practices and green supply chain performance 2024Supply base concentration and firm innovation performance: A contingency study of supply base breadth, depth, dispersion, and collaboration 2022Complexity in three-echelon supply chain network and manufacturing firm’s operational performance

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Details

Year2010

Typearticle

Published2010-09-30

VenueInternational Journal of Production Economics

ISSN-L0925-5273

Languageen

Citations104

Files0 public / 0

ShelfComplex Systems and Time Series Analysis

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doi10.1016/j.ijpe.2010.09.022

openalex_workW2110046752

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2016Data-driven risk measurement of firm-to-firm relationships in a supply chain

2021Out of Sight, out of Mind? Modeling the Impacts of Financial Squeeze on Extended Supply Chain Networks