Robust-fuzzy-probabilistic optimization for a resilient, sustainable supply chain with an inventory management approach by the seller

The current paper deals with modeling a resilient, sustainable supply chain with an inventory management approach by the seller under the uncertainty of demand and system costs. The importance of inventory management by the seller in the sustainable supply chain has led them to consider a set of buy...

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Main Authors: Fateme Zahra Montazeri, Ali Sorourkhah, Dragan Marinković, Vesko Lukovac
Format: Article
Language:English
Published: REA Press 2024-06-01
Series:Big Data and Computing Visions
Subjects:
Online Access:https://www.bidacv.com/article_207081_29d01ace49b265b16bfc82b3110c7c9e.pdf
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author Fateme Zahra Montazeri
Ali Sorourkhah
Dragan Marinković
Vesko Lukovac
author_facet Fateme Zahra Montazeri
Ali Sorourkhah
Dragan Marinković
Vesko Lukovac
author_sort Fateme Zahra Montazeri
collection DOAJ
description The current paper deals with modeling a resilient, sustainable supply chain with an inventory management approach by the seller under the uncertainty of demand and system costs. The importance of inventory management by the seller in the sustainable supply chain has led them to consider a set of buyers and sellers whose goal is to minimize the total costs of ordering, shortage, maintenance, and use of the vehicle to make the right decisions to fulfill the orders. Due to the indeterminacy of the model parameters, the robust-fuzzy-probabilistic optimization method has been used. The calculation results with the invasive weed optimization algorithm and the Baron method show that with the increase in the uncertainty rate in the network, the amount of demand has increased. Therefore, the total ordering, maintenance, and shortage costs have increased. Also, with the increase of the stability coefficient of the model, the total cost of inventory management by the seller has increased, and a greater amount of customer demand has been estimated. On the other hand, with the increase in resilience, the amount of orders transferred to the buyer has decreased. Also, the calculation results show the high efficiency of the invasive weed optimization algorithm in solving the resilient, sustainable supply chain model with the seller's inventory management approach.
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institution Kabale University
issn 2783-4956
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language English
publishDate 2024-06-01
publisher REA Press
record_format Article
series Big Data and Computing Visions
spelling doaj-art-6fdd1a943d724e5fbe805020410277552025-01-30T12:23:26ZengREA PressBig Data and Computing Visions2783-49562821-014X2024-06-014214616310.22105/bdcv.2024.481945.1208207081Robust-fuzzy-probabilistic optimization for a resilient, sustainable supply chain with an inventory management approach by the sellerFateme Zahra Montazeri0Ali Sorourkhah1Dragan Marinković2Vesko Lukovac3Department of Industrial Engineering, Ayandegan Insttitute of Higher Education, Tonekabon, Iran.Department of Management, Ayandegan Institute of Higher Education, Tonekabon, Iran.Faculty of Mechanical and Transport Systems, Technische Universität Berlin, Germany.University of Defence in Belgrade, Belgrade, Serbia.The current paper deals with modeling a resilient, sustainable supply chain with an inventory management approach by the seller under the uncertainty of demand and system costs. The importance of inventory management by the seller in the sustainable supply chain has led them to consider a set of buyers and sellers whose goal is to minimize the total costs of ordering, shortage, maintenance, and use of the vehicle to make the right decisions to fulfill the orders. Due to the indeterminacy of the model parameters, the robust-fuzzy-probabilistic optimization method has been used. The calculation results with the invasive weed optimization algorithm and the Baron method show that with the increase in the uncertainty rate in the network, the amount of demand has increased. Therefore, the total ordering, maintenance, and shortage costs have increased. Also, with the increase of the stability coefficient of the model, the total cost of inventory management by the seller has increased, and a greater amount of customer demand has been estimated. On the other hand, with the increase in resilience, the amount of orders transferred to the buyer has decreased. Also, the calculation results show the high efficiency of the invasive weed optimization algorithm in solving the resilient, sustainable supply chain model with the seller's inventory management approach.https://www.bidacv.com/article_207081_29d01ace49b265b16bfc82b3110c7c9e.pdfresilientsustainable supply chaininventory management by the sellerrobust-fuzzy-probabilistic optimizationinvasive weed optimization algorithm
spellingShingle Fateme Zahra Montazeri
Ali Sorourkhah
Dragan Marinković
Vesko Lukovac
Robust-fuzzy-probabilistic optimization for a resilient, sustainable supply chain with an inventory management approach by the seller
Big Data and Computing Visions
resilient
sustainable supply chain
inventory management by the seller
robust-fuzzy-probabilistic optimization
invasive weed optimization algorithm
title Robust-fuzzy-probabilistic optimization for a resilient, sustainable supply chain with an inventory management approach by the seller
title_full Robust-fuzzy-probabilistic optimization for a resilient, sustainable supply chain with an inventory management approach by the seller
title_fullStr Robust-fuzzy-probabilistic optimization for a resilient, sustainable supply chain with an inventory management approach by the seller
title_full_unstemmed Robust-fuzzy-probabilistic optimization for a resilient, sustainable supply chain with an inventory management approach by the seller
title_short Robust-fuzzy-probabilistic optimization for a resilient, sustainable supply chain with an inventory management approach by the seller
title_sort robust fuzzy probabilistic optimization for a resilient sustainable supply chain with an inventory management approach by the seller
topic resilient
sustainable supply chain
inventory management by the seller
robust-fuzzy-probabilistic optimization
invasive weed optimization algorithm
url https://www.bidacv.com/article_207081_29d01ace49b265b16bfc82b3110c7c9e.pdf
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