International Journal of Computational Intelligence Systems

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Volume 14, Issue 1, 2021, Pages 1489 - 1500

A Proposed Order Prediction Methodology for Vendor-Managed Inventory System in FMCG Sector Based on Interval-Valued Intuitionistic Fuzzy Sets

Authors
Murat Levent Demircan1, *, ORCID, Ekin Merdan2
1Industrial Engineering Department, Galatasaray University, Ortaköy, Istanbul, 34349, Turkey
2Eczacıbaşı Tüketim Ürünleri, Supply Chain Department, Beykoz, Istanbul, 34805, Turkey
*Corresponding author. Email: ldemircan@gsu.edu.tr
Corresponding Author
Murat Levent Demircan
Received 30 October 2020, Accepted 15 April 2021, Available Online 29 April 2021.
DOI
10.2991/ijcis.d.210423.004How to use a DOI?
Keywords
Vendor-managed inventory; Fuzzy logic and systems; Interval-valued intiutionistic fuzzy sets; Multi-criteria decision-making; Demand forecasting
Abstract

Vendor-managed inventory (VMI) is a supply chain coordination improvement system. Due to the vendor’s responsibility for the replenishment decision, demand forecasting and quick response for retailers’ demand fluctuations are crucial in a VMI system. Our study focuses on order prediction of the VMI for FMCG companies, which is multicriteria decision-making entailing to consider various quantitative and qualitative criteria in the fuzzy decision-making process. The interval-valued intuitionistic fuzzy set (IVIFS) is applied to solve ambiguity, vagueness, and subjectivity in human judgments. With real sales data, sales conditions, and objective expert opinions, the proposed method showed logical and reliable results. The study also presented that the proposed methodology improves the company’s supply chain performance while preventing excessive stocks and customer backorders with equalization of the alternatives.

Copyright
© 2021 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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<Previous Article In Issue
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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
14 - 1
Pages
1489 - 1500
Publication Date
2021/04/29
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.210423.004How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Murat Levent Demircan
AU  - Ekin Merdan
PY  - 2021
DA  - 2021/04/29
TI  - A Proposed Order Prediction Methodology for Vendor-Managed Inventory System in FMCG Sector Based on Interval-Valued Intuitionistic Fuzzy Sets
JO  - International Journal of Computational Intelligence Systems
SP  - 1489
EP  - 1500
VL  - 14
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.210423.004
DO  - 10.2991/ijcis.d.210423.004
ID  - Demircan2021
ER  -