Mohammadi, Tahereh, Sajadi, Seyed Mojtaba, Najafi, Seyed Esmaeil and Taghizadeh-Yazdi, Mohammadreza (2024). Multi Objective and Multi-Product Perishable Supply Chain with Vendor-Managed Inventory and IoT-Related Technologies. Mathematics, 12 (5),
Abstract
With the emergence of the fourth industrial revolution, the use of intelligent technologies in supply chains is becoming increasingly common. The aim of this research is to propose an optimal design for an intelligent supply chain of multiple perishable products under a vendor-managed inventory management policy aided by IoT-related technologies to address the challenges associated with traditional supply chains. Various levels of the intelligent supply chain employ technologies such as Wireless Sensor Networks (WSNs), Radio Frequency Identification (RFID), and Blockchain. In this paper, we develop a bi-objective nonlinear integer mathematical programming model for designing a four-level supply chain consisting of suppliers, manufacturers, retailers, and customers. The model determines the optimal network nodes, production level, product distribution and sales, and optimal choice of technology for each level. The objective functions are total cost and delivery times. The GAMS 24.2.1 optimization software is employed to solve the mathematical model in small dimensions. Considering the NP-Hard nature of the problem, the Grey Wolf Optimizer (GWO) algorithm is employed, and its performance is compared with the Multi-Objective Whale Optimization Algorithm (MOWOA) and NSGA-III. The results indicate that the adoption of these technologies in the supply chain can reduce delivery times and total supply chain costs.
Publication DOI: | https://doi.org/10.3390/math12050679 |
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Divisions: | College of Business and Social Sciences > Aston Business School > Operations & Information Management College of Business and Social Sciences > Aston Business School Aston University (General) |
Additional Information: | Copyright © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Uncontrolled Keywords: | intelligent supply chain,Internet of Things,Radio Frequency Identification,Wireless Sensor Network,mathematical modeling |
Publication ISSN: | 2227-7390 |
Data Access Statement: | The authors confirm that the data supporting the findings of this study are available within the article. |
Last Modified: | 02 Dec 2024 09:04 |
Date Deposited: | 06 Mar 2024 12:11 |
Full Text Link: | |
Related URLs: |
https://www.mdp ... 7-7390/12/5/679
(Publisher URL) |
PURE Output Type: | Article |
Published Date: | 2024-03 |
Published Online Date: | 2024-02-26 |
Accepted Date: | 2024-02-19 |
Authors: |
Mohammadi, Tahereh
Sajadi, Seyed Mojtaba ( 0000-0002-2139-2053) Najafi, Seyed Esmaeil Taghizadeh-Yazdi, Mohammadreza |