Nowadays, supply chain management (SCM) is one of the most popular and intensively developed areas of applied mathematics. The necessity of studying and modelling the processes of interaction between the manufacturer, suppliers, and final purchasers of products requires such mathematical tools as game theory and applied statistics. Like many earlier works, the presented paper considers a model of the supply chain with one manufacturer and two retailers. The game-theoretical approach is applied to design and study two echelon supply chain model with market search behavior and dependent demands of customers. At the same time, retailers play Cournot game. Retailers’ demands supposed to be mutually dependent random variables which joint distribution is assumed to be known. Constructive method to find Nash Equilibrium in pure strategies for two-echelon supply chain model with market search behavior of retailers and dependent demands of customers is proposed.
Original languageEnglish
Title of host publicationStability and Control Processes
Subtitle of host publicationProceedings of the 4th International Conference Dedicated to the Memory of Professor Vladimir Zubov
Place of PublicationCham
PublisherSpringer Nature
Pages419-426
ISBN (Electronic)978-3-030-87966-2
ISBN (Print)978-3-030-87965-5
StateE-pub ahead of print - 16 Mar 2022
EventStability and Control Processes: International Conference Dedicated to the Memory of Professor Vladimir Zubov: Dedicated to the Memory of Professor Vladimir Zubov - Санкт-Петербургский Государственный Университет, Saint Petersburg, Russian Federation
Duration: 5 Oct 20209 Oct 2020
Conference number: 4
http://www.apmath.spbu.ru/scp2020/
http://www.apmath.spbu.ru/scp2020/ru/main/
http://www.apmath.spbu.ru/scp2020/eng/program/#schedule
https://link.springer.com/conference/scp

Publication series

NameLNCOINSPRO

Conference

ConferenceStability and Control Processes: International Conference Dedicated to the Memory of Professor Vladimir Zubov
Abbreviated titleSCP2020
Country/TerritoryRussian Federation
CitySaint Petersburg
Period5/10/209/10/20
Internet address

ID: 95677663