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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| Vydáno v: | Industrial marketing management Ročník 40; číslo 6; s. 979 - 987 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York
Elsevier Inc
01.08.2011
Elsevier Elsevier Sequoia S.A |
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| ISSN: | 0019-8501, 1873-2062 |
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| Abstract | 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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| AbstractList | 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. [PUBLICATION ABSTRACT] 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. 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. All rights reserved, Elsevier |
| Author | Sheresheva, Marina Y. Kolesnik, Nadezda A. |
| Author_xml | – sequence: 1 givenname: Marina Y. surname: Sheresheva fullname: Sheresheva, Marina Y. email: m.sheresheva@mail.ru organization: National Research University – Higher School of Economics, Faculty of Management, Moscow, 33 Kirpichnaya str., aud.808, Russia – sequence: 2 givenname: Nadezda A. surname: Kolesnik fullname: Kolesnik, Nadezda A. email: nadezda.kolesnik@mail.ru organization: National Research University – Higher School of Economics, Faculty of Management, Moscow, 33 Kirpichnaya str., aud.730, Russia |
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| Title | Stochastic perspective of industrial distribution network processes |
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