A literature review on blood supply chain management focused on uncertainty: an inclusive approach

Q4 Mathematics
Namita Rani Mall, M. Pattnaik
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引用次数: 1

Abstract

In the context of Blood Supply Chain Management, blood supply chain network design is one of the most pivotal planning problems. The stages of blood supply chain management comprise of blood collection, production, inventorying and distribution. The main challenges faced by supply channels are related to shortage, out datedness, and supply chain cost which needs to be minimized. In the current scenario, supply chain network design decisions should be flexible enough to operate under complex and uncertain business environments for many years. Decisionmaking under uncertainty is a crucial phenomenon and a large number of relevant publications have emphasized its importance. This paper makes an attempt towards reviewing the literature in the fields of blood supply chain network design under uncertainty. This study is organized into two phases. In the first phase, a discussion is made on the types of blood products, potential issues, and stages of blood supply chain management whereas in the second phase, an exploration is made on the optimization techniques for dealing with uncertainty such as recourse-based stochastic programming, robust optimization and fuzzy mathematical programming. The scope of the study lies with capturing the unexplored dimensions related to blood supply chain management that will serve as substantial input for upcoming researchers and practitioners in the field of supply chain management.
对血液供应链管理的文献综述侧重于不确定性:一个包容性的方法
在血液供应链管理的背景下,血液供应链网络设计是最关键的规划问题之一。血液供应链管理的各个阶段包括血液采集、生产、库存和分配。供应渠道面临的主要挑战是短缺、过时和供应链成本最小化。在当前的情况下,供应链网络设计决策应该足够灵活,能够在复杂和不确定的商业环境下运行多年。不确定性下的决策是一个至关重要的现象,大量的相关出版物都强调了它的重要性。本文试图对不确定条件下血液供应链网络设计领域的文献进行综述。本研究分为两个阶段。在第一阶段,讨论了血液制品的类型、潜在问题和血液供应链管理的阶段;在第二阶段,探索了处理不确定性的优化技术,如基于资源的随机规划、鲁棒优化和模糊数学规划。该研究的范围在于捕捉与血液供应链管理相关的未探索维度,这将为供应链管理领域的未来研究人员和从业者提供实质性的投入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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