scholarly journals Complexity Measures and Models in Supply Chain Networks

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-3 ◽  
Author(s):  
Vladimir Modrak ◽  
Petri T. Helo ◽  
Dominik T. Matt
Keyword(s):  
Supply Chain ◽  
Complexity Measures ◽  
Supply Chain Networks

scholarly journals Topological Complexity Measures of Supply Chain Networks

Procedia CIRP ◽  
2016 ◽  
Vol 40 ◽  
pp. 295-300 ◽  
Author(s):  
Vladimir Modrak ◽  
Slavomir Bednar
Keyword(s):  
Supply Chain ◽  
Topological Complexity ◽  
Complexity Measures ◽  
Supply Chain Networks

Supply Chain Complexity Measures Using Information Theory

2015 ◽  
Vol 795 ◽  
pp. 149-156
Author(s):  
Vladimir Modrak ◽  
Slavomir Bednar
Keyword(s):  
Information Theory ◽  
Supply Chain ◽  
Design Theory ◽  
Boltzmann Entropy ◽  
Complexity Measures ◽  
Supply Chain Networks ◽  
Complexity Metrics ◽  
Architectural Framework ◽  
Axiomatic Design Theory

One of the complexity metrics that contribute towards determination of the overall complexity of supply chains is based on so called static complexity. In this article, we firstly present an architectural framework for supply chain networks. Subsequently, selected complexity indicators based on Axiomatic Design theory and Boltzmann entropy are applied. The indicators used are benchmarked based on computational experiments. Finally, relevant conclusions are formulated.

scholarly journals Complexity Assessment of Assembly Supply Chains from the Sustainability Viewpoint

2019 ◽  
Vol 11 (24) ◽  
pp. 7156 ◽  
Author(s):  
Modrak ◽  
Soltysova ◽  
Onofrejova
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Material Flow ◽  
Assessment Methods ◽  
Complexity Measures ◽  
System Complexity ◽  
Supply Chain Networks ◽  
Factors Influencing ◽  
Community Stakeholders ◽  
Complexity Assessment

Assembly supply chain systems are becoming increasingly complex and, as a result, there is more and more need to design and manage them in a way that benefits the producers and also satisfies the interests of community stakeholders. The structural (static) complexity of assembly supply chain networks is one of the most important factors influencing overall system complexity. Structures of such networks can be modeled as a graph, with machines as nodes and material flow between the nodes as links. The purpose of this paper is to analyze existing assembly supply chain complexity assessment methods and propose such complexity metric(s) that will be able to accurately reflect not only specific criteria for static complexity measures, but also selected sustainability aspects. The obtained results of this research showed that selected complexity indicators reflect sustainability facets in different ways, but one of them met the mentioned requirements acceptably.

scholarly journals How does the position of firms in the supply chain affect their performance? An empirical study

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Siddharth Arora ◽  
Alexandra Brintrup
Keyword(s):  
Supply Chain ◽  
Empirical Data ◽  
Large Scale ◽  
Individual Performance ◽  
Supply Network ◽  
Supply Chain Networks ◽  
Focal Firm ◽  
Cooperative Competition ◽  
Large Scale Networks ◽  
The Relationship

AbstractThe relationship between a firm and its supply chain has been well studied, however, the association between the position of firms in complex supply chain networks and their performance has not been adequately investigated. This is primarily due to insufficient availability of empirical data on large-scale networks. To addresses this gap in the literature, we investigate the relationship between embeddedness patterns of individual firms in a supply network and their performance using empirical data from the automotive industry. In this study, we devise three measures that characterize the embeddedness of individual firms in a supply network. These are namely: centrality, tier position, and triads. Our findings caution us that centrality impacts individual performance through a diminishing returns relationship. The second measure, tier position, allows us to investigate the concept of tiers in supply networks because we find that as networks emerge, the boundaries between tiers become unclear. Performance of suppliers degrade as they move away from the focal firm (i.e., Toyota). The final measure, triads, investigates the effect of buying and selling to firms that supply the same customer, portraying the level of competition and cooperation in a supplier’s network. We find that increased coopetition (i.e., cooperative competition) is a performance enhancer, however, excessive complexity resulting from being involved in both upstream and downstream coopetition results in diminishing performance. These original insights help understand the drivers of firm performance from a network perspective and provide a basis for further research.

Quality in operational supply chain networks: an aerospace case study

2010 ◽  
Vol 9 (4) ◽  
pp. 426 ◽  
Author(s):  
Chaher Alzaman ◽  
A.A. Bulgak ◽  
Amar Ramudhin
Keyword(s):  
Supply Chain ◽  
Supply Chain Networks

Vacancies in supply chain networks

2013 ◽  
Vol 119 (3) ◽  
pp. 354-357 ◽  
Author(s):  
John William Hatfield ◽  
Scott Duke Kominers
Keyword(s):  
Supply Chain ◽  
Supply Chain Networks
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