Stochastic perspective of industrial distribution network processes

This article investigates contemporary distribution processes in the industrial market. The main trend in distribution during the recent decades manifests itself in a growing number of network-type distribution chains. Based on the evolutionary trends in distribution research, we came up with the id...

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Veröffentlicht in:Industrial marketing management Jg. 40; H. 6; S. 979 - 987
Hauptverfasser: Sheresheva, Marina Y., Kolesnik, Nadezda A.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Elsevier Inc 01.08.2011
Elsevier
Elsevier Sequoia S.A
Schlagworte:
b2b relationships
Decision making
Distribution
Distribution channels
Distribution networks
Industrial market
Industrial markets
Markov analysis
Markov chains
Markov-Kette
Markovian processes
Mate selection
Networks
Probability theory
Russia
Russland
Stochastic models
Studies
Supply
Supply chains
Unternehmensnetzwerk
Vertrieb
Russia
Markov chains
Distribution networks
b2b relationships
ISSN:0019-8501, 1873-2062
Online-Zugang:Volltext
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Zusammenfassung:This article investigates contemporary distribution processes in the industrial market. The main trend in distribution during the recent decades manifests itself in a growing number of network-type distribution chains. Based on the evolutionary trends in distribution research, we came up with the idea to investigate distribution networks processes using mathematical tools of probability theory. We consider a distribution network in a stochastic way, where a focal agent optimizes the distribution chain at each decision-making node by switching between possible partners. This allows us to apply time-homogeneous Markov chains theory to explore the partner selection process. We present an approach that allows for the estimating of implicit non-price variables of partner choice in a supply chain. The approach is based on the research context of the transitional Russian economy. ► Modeling distribution network processes using tools of probability theory. ► Apply Markov chains to the process of choosing partner. ► Propose an approach to estimation non-price variables.
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ISSN:0019-8501
1873-2062
DOI:10.1016/j.indmarman.2011.06.021