The blood supply chain planning process is of the utmost importance, given the number of activities that must be carefully thought out in advance to guarantee demand fulfillment. This network has been significantly studied in the literature, and some supply chain decisions have been addressed through mathematical modeling approaches. Yet, several research challenges still exist in developing comprehensive decision-making tools that could inform optimized solutions. The goal of this work is to review the literature from an optimization perspective and provide a conceptual framework for planning the blood supply chain management through mathematical programming modeling. This is achieved by decomposing the planning problems according to the planning level and identifying the key linkages to consider in an integrated solution approach. The strategic and tactical planning decision-making levels are then described in detail. In addition, an innovative OR-Modeling Framework to address the planning of the blood supply chain is provided. This framework serves as a guide for developing optimization based decision-making models and as a basis for any research in the area.

血液供应链规划过程至关重要，因为必须提前仔细考虑许多活动以保证满足需求。该网络已在文献中得到大量研究，一些供应链决策已通过数学建模方法得到解决。然而，在开发可以为优化解决方案提供信息的综合决策工具方面仍然存在一些研究挑战。这项工作的目标是从优化的角度回顾文献，并通过数学规划建模为规划血液供应链管理提供概念框架。这是通过根据规划级别分解规划问题并确定在集成解决方案方法中要考虑的关键联系来实现的。然后详细描述了战略和战术规划决策层。此外，还提供了一个创新的 OR 建模框架来解决血液供应链的规划问题。该框架可作为开发基于优化的决策模型的指南，并可作为该领域任何研究的基础。