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Article

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Title

Relatively optimal production-distribution plans for stock management in supply chains over a finite time horizon

Authors

[ 1 ] Instytut Zarządzania, Wydział Zarządzania i Dowodzenia, Akademia Sztuki Wojennej | [ 2 ] Polska Akademia Nauk | [ P ] employee

Scientific discipline (Law 2.0)

[6.6] Management and quality studies

Year of publication

2020

Published in

Computers & Industrial Engineering

Journal year: 2020 | Journal number: vol. 144

Article type

scientific article

Publication language

english

Keywords
PL
  • Consignment stock
  • Dynamic-production-distribution
  • Finite planning horizon
  • Locally stable plans
  • Two stage supply chain
Abstract

PL A model of the centralized dynamic production - distribution control is considered. In a supply chain a vendor supplies a product to a buyer, sending the products to the buyer's warehouse in equal-size batches. Costs are attached to manufacturing the batch, the delivery of shipment and stockholding at both agents, and defined on production-distribution cycles (PDCs). There is only one production setup in a cycle with the restriction that in each warehouse the beginning and the ending inventory levels are the same. It is shown that the average cost of “sensible” PDCs is a continuous piece-wise convex function of their production batch sizes. For infinite time horizon the optimal production distribution plan is a constant sequence of PDCs with lowest average cost - economic production-distribution cycles (EPDCs).

Date of online publication

13.04.2020

Pages (from - to)

1 - 15

DOI

10.1016/j.cie.2020.106445

URL

https://www.sciencedirect.com/journal/computers-and-industrial-engineering/vol/144/suppl/C

Comments

Bibliografia na stronie 15.

Open Access Mode

publisher's website

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Ministry points / journal

140

Ministry points / journal in years 2017-2021

140

Impact Factor

5,431

Publication indexed in

Scopus | Web of Science