A robust fuzzy optimisation for a multi-objective pharmaceutical supply chain network design problem considering reliability and delivery time

Fatemeh Delfani; Hamed Samanipour; Hossein BeikiAlexei Valerievich YumashevElvir Munirovich Akhmetshin

首页> 外文期刊>International journal of systems science. Operations & logistics >A robust fuzzy optimisation for a multi-objective pharmaceutical supply chain network design problem considering reliability and delivery time

【24h】

A robust fuzzy optimisation for a multi-objective pharmaceutical supply chain network design problem considering reliability and delivery time

机译：A robust fuzzy optimisation for a multi-objective pharmaceutical supply chain network design problem considering reliability and delivery time

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

Due to the emergency role of pharmaceutical supply chains, there has been rapid development of optimisation techniques as one of efficient tools to improve pharmaceutical supply chain network design. To improve the pharmaceutical supply chain network, this study proposes a novel location-allocation-inventory model as a multi-objective, multi-echelon, multi-product, multi-period and multi-modal transportation system for pharmaceutical supply chain network design under uncertainty. The proposed model aims to optimise multiple objectives, including minimising the total costs and the delivery time while maximising the transportation system reliability simultaneously. To control the impacts of uncertain parameters including the ordering, delivery, purchase, and transportation costs and the capacity of vehicles, warehouses and of distribution centres, a robust fuzzy optimisation approach is developed. An efficient modification of a state-of-the-art evolutionary algorithm called the red deer algorithm (RDA) in its multi-objective form abbreviated as IMORDA is developed and compared with itself and well-established algorithms in the literature such as non-dominated sorting genetic algorithm (NSGA-Ⅱ) and multi-objective particle swarm optimisation (MOPSO). The results confirm the applicability and efficiency of the IMORDA for the proposed model and encourage further development of this new metaheuristic.

著录项

来源
《International journal of systems science. Operations & logistics》 |2022年第4期|155-179|共25页
作者
Fatemeh Delfani; Hamed Samanipour; Hossein BeikiAlexei Valerievich YumashevElvir Munirovich Akhmetshin;
展开▼
作者单位

Faculty of Industrial and Mechanical Engineering, Islamic Azad University, Qazvin, Iran;

Department of Industrial Engineering, Islamic Azad University, Naragh, Iran;

Department of Prosthetic Dentistry, Sechenov First Moscow State Medical University, Moscow, Russian FederationEconomics and Management Department, Kazan Federal University, Elabuga Institute of KFU, Elabuga, Russian Federation;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类
关键词
Pharmaceutical supply chain; reliability; delivery time; robust fuzzy approach; evolutionary algorithms; red deer algorithm;

A robust fuzzy optimisation for a multi-objective pharmaceutical supply chain network design problem considering reliability and delivery time

摘要

著录项

相关主题

期刊订阅