Osorio Andres F, Brailsford Sally C, Smith Honora K, Forero-Matiz Sonia P, Camacho-Rodríguez Bernardo A
Southampton Business School, University of Southampton, Southampton, SO17 1BJ, UK.
Universidad Icesi, Calle 18 No. 122 - 135, Cali, Colombia.
Health Care Manag Sci. 2017 Dec;20(4):548-564. doi: 10.1007/s10729-016-9370-6. Epub 2016 Jun 4.
Production planning in the blood supply chain is a challenging task. Many complex factors such as uncertain supply and demand, blood group proportions, shelf life constraints and different collection and production methods have to be taken into account, and thus advanced methodologies are required for decision making. This paper presents an integrated simulation-optimization model to support both strategic and operational decisions in production planning. Discrete-event simulation is used to represent the flows through the supply chain, incorporating collection, production, storing and distribution. On the other hand, an integer linear optimization model running over a rolling planning horizon is used to support daily decisions, such as the required number of donors, collection methods and production planning. This approach is evaluated using real data from a blood center in Colombia. The results show that, using the proposed model, key indicators such as shortages, outdated units, donors required and cost are improved.
血液供应链中的生产计划是一项具有挑战性的任务。必须考虑许多复杂因素，如供需不确定、血型比例、保质期限制以及不同的采集和生产方法，因此需要先进的方法来进行决策。本文提出了一种综合模拟优化模型，以支持生产计划中的战略和运营决策。离散事件模拟用于表示供应链中的流程，包括采集、生产、存储和配送。另一方面，在滚动规划期内运行的整数线性优化模型用于支持日常决策，如所需的献血者数量、采集方法和生产计划。使用来自哥伦比亚一家血液中心的真实数据对该方法进行了评估。结果表明，使用所提出的模型，短缺、过期单位、所需献血者数量和成本等关键指标得到了改善。
