title: Perishable inventory management in manufacturing during logistics disruptions
metadata.name: dc.contributor.author
metadata.value: Ipateva, I. A.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2023-08-28T19:16:50Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2023-08-28T19:16:50Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2021-03
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Ipateva I. A. 2023. Perishable inventory management in manufacturing during logistics disruptions. Russian Management Journal 21 (1): 39–65. https://doi.org/10.21638/spbu18.2023.103 (In Russian)
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu18.2023.103
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/43927
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: Goal: to analyze the features of the perishable raw materials management at a manufacturing
  enterprise, determine the key factors affecting the inventory management efficiency and, in
  accordance with them, adapt the classical model for determining the optimal delivery batch.
  Methodology: an empirical study of the factors was carried out using a critical analysis of the
  scientific literature; model formalization was implemented using mathematical methods for
  modeling rational systems in accordance with the algorithm for formulating optimization models,
  converted for perishable raw materials. Findings: key themes of model modifications for
  manufacturing enterprises were identified; the required model is formulated; a numerical experiment
  was carried out and the sensitivity of the model parameters was revealed, the results
  of which can be applied to improve inventory management strategies in other sectors of the
  national economy. Originality and contribution of the author: for the first time in Russia,
  this study presents an adapted model for determining the optimal delivery lot, which simultaneously
  takes into account such parameters as the susceptibility of the stock to quality deterioration
  processes, the likelihood of failures and breakdowns at the supply stage, the possibility
  of shortages under scenarios with delayed full or partial satisfaction, as well as with the
  application of the strategy of acceptance of this risk by the enterprise.
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: Russian Management Journal;Volume 21; Issue 1
metadata.lang: -
metadata.name: dc.subject
metadata.value: manufacturing
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: shortage
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: disruptions
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: losses
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: perishable stock
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: EOQ model
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: optimal delivery lot
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Perishable inventory management in manufacturing during logistics disruptions
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 03.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/43927/1/03.pdf
resources.format: Adobe PDF
resources.size: 1,23 MB