Algorithm for Customers Loss Minimization with Possible Supply Chain Disruption

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование


Continuous development of companies in various sectors of the economy has led to an expansion of the processes they implement. With the increase in the number of logistic processes of the company, there is a need for their optimization, with a subsequent reduction in the costs of their provision. Logistic costs can reach up to forty-five percent of the company’s general administrative expenses. As of today, there are many approaches to setting and solving the problem for optimization of logistics systems. In this paper, the authors suggest a set of different strategies for selecting suppliers in the market, taking into account a number of constraints, in particular, the supplier’s required reliability, as well as the goods pricing strategy, provided that such goods are competitive. The main objective of the research is to solve the problem of the optimal choice of the quantity of goods in the order with supplier losses minimization. The goal is achieved by choosing the optimal or the so-called economical order size, at which the supplier’s losses will be minimal. To determine the optimal order size, a modified Harris-Wilson formula for the economic order quantity is used. Two types of the problem are considered: a model in the absence of supply disruption and a model with probable supply disruptions. Scenarios of a customer’s behavior are suggested for possible supply disruptions, such as the supplier equipment failure or transportation problems. Using the proposed algorithm, the customer can develop a relevant stock forming strategy.

Язык оригиналаанглийский
Название основной публикацииConvergent Cognitive Information Technologies
РедакторыVladimir Sukhomlin, Elena Zubareva
Место публикацииCham
ИздательSpringer Nature
Число страниц8
ISBN (печатное издание)9783030374358
СостояниеОпубликовано - 2020
Событие3rd International Scientific Conference on Convergent Cognitive Information Technologies, Convergent 2018 - Moscow, Российская Федерация
Продолжительность: 29 ноя 20182 дек 2018

Серия публикаций

НазваниеCommunications in Computer and Information Science
ISSN (печатное издание)1865-0929
ISSN (электронное издание)1865-0937


конференция3rd International Scientific Conference on Convergent Cognitive Information Technologies, Convergent 2018
СтранаРоссийская Федерация

Предметные области Scopus

  • Компьютерные науки (все)
  • Математика (все)

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