title: Modeling of the ordering process for piecewise-linear demand with saturation
metadata.name: dc.contributor.author
metadata.value: Bure, Vladimir M.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Karelin, Vladimir V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Polyakova, Ludmila N.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Yagolnik, Irina V.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2017-07-19T11:16:16Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2017-07-19T11:16:16Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2017-06
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Bure V. M., Karelin V. V., Polyakova L. N., Yagolnik I. V. Modeling of the ordering process for piecewise-linear demand with saturation. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 2017, vol. 13, iss. 2, pp. 138–146.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: 10.21638/11701/spbu10.2017.202
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/6968
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: This article discusses the behavior of trading companies when the demand function for a product
  is a piecewise linear function with some pre-defined level of saturation. As a result of special
  marketing research the demand function is determined. It is assumed that the following scheme
  is used. The ordered product is divided into two parts. The first batch will arrive immediately
  and will be sold within a certain period of time up to T1. The second batch of goods will be
  delivered only at time T and this batch will be sold with reduction in price as follows from
  deficit of the goods. The consideration of a such a scheme for the sale stems from the fact that,
  first, commercial enterprises have limited capacity and can not accommodate the entire volume
  of products ordered, and secondly, the manufacturer may not offer the entire ordered quantity
  at the initial time. An important feature of this problem is selection of parameters which
  are subsequently optimized. For trading firms the moment time T1 has very high importance
  because trading companies have sold the first batch and received money. After this moment the
  trading firms will pay to the manufacturers, and manufacturers can to continue the activities.
  The time moment T1 is important for trading firms, as it will allow them to fulfill various
  financial obligations associated with the payment of loans and other expenses. Time T is also
  important, so this will mean the successful completion in full of selling all these goods. Refs 16.
  Fig. 1.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: Работа выполнена при финансовой поддержке Санкт-Петербургского государственного университета (грант № 9.38.205.2014).
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vestnik of St Petersburg University. Applied Mathematics. Computer Science. Control Processes;Volume 13; Issue 2
metadata.lang: -
metadata.name: dc.subject
metadata.value: the level of product inventory
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: piecewise linear demand
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: the goods deficit
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: reduction
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Modeling of the ordering process for piecewise-linear demand with saturation
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 02-Bure.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/6968/1/02-Bure.pdf
resources.format: Adobe PDF
resources.size: 254,71 kB