Digital twin technology consists of creating virtual replicas of objects or processes that simulate the behavior of their real counterparts. The objective is to analyze its effectiveness or behavior in certain cases to improve its effectiveness. Applied to products, machines and even complete business ecosystems, the digital twin model can reveal information from the past, optimize the present and even predict the future performance of the different areas analyzed. In the context of supply chains, digital twins are changing the way they do business, providing a range of options to facilitate collaborative environments and data-based decision making and making business processes more robust. This paper proposes the design and development of a digital twin for a case study of a pharmaceutical company. The technology used is based on simulators, solvers and data analytic tools that allow these functions to be connected in an integral interface for the company.

数字孪生技术包括创建对象或过程的虚拟副本，以模拟其真实副本的行为。目的是分析其有效性或在某些情况下的行为以提高其有效性。数字孪生模型适用于产品，机器甚至整个商业生态系统，可以揭示过去的信息，优化现在的情况，甚至可以预测所分析的不同领域的未来表现。在供应链的背景下，数字孪生正在改变其开展业务的方式，提供了一系列选择，以促进协作环境和基于数据的决策制定，并使业务流程更加稳健。本文针对某制药公司的案例提出了数字孪生的设计和开发。所使用的技术基于模拟器，