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A decision support framework and system for design of sustainable pharmaceutical supply chain network

机译:可持续药物供应链网络设计的决策支持框架和系统

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摘要

With the issues of climate change continuously taking center stage, there is thus a pressing need for the pharmaceutical companies to assess the sustainability of their supply chains. However, the highly regulated nature of the industry has prompted various supply chain decisions such as material sourcing, siting of plants, and distribution network configuration to be locked into the registration of the new drug. This could consequently lead to inefficient supply chain operation during the drug commercial stage, yielding high greenhouse gas emissions per unit of drug product. Previously, we have proposed a systematic framework for design of a sustainable commercial-stage pharmaceutical supply chain network that can be driven from the early drug development stages. In this paper, we extend the framework by incorporating more functionalities. We also introduce a novel decision support system, called PharmaSC, which implements the framework. PharmaSC system has been developed by integrating two computer toolsan Excel-based analytic hierarchy process and LLamasoft's Supply Chain Guruinto one coherent framework for selecting the most suitable suppliers and manufacturers, mapping a supply chain superstructure network, and optimizing the network to identify and resolve trade-offs between economic and environmental factor. To illustrate the system, an industrially motivated case study involving a paclitaxel production is solved.[GRAPHICS]
机译:随着气候变化问题的持续关注,制药公司迫切需要评估其供应链的可持续性。但是,该行业的高度监管性质促使各种供应链决策(例如材料采购,工厂选址和分销网络配置)被锁定在新药注册中。因此,这可能导致药品商业化阶段的供应链运作效率低下,导致每单位药品的温室气体排放量较高。以前,我们已经提出了一个可持续的商业阶段药品供应链网络设计的系统框架,该框架可以从药物开发的早期阶段就驱动。在本文中,我们通过合并更多功能来扩展框架。我们还介绍了一种新颖的决策支持系统,称为PharmaSC,它可以实现该框架。 PharmaSC系统是通过将两个计算机工具,一个基于Excel的分析层次过程和LLamasoft的Supply Chain Guruin集成到一个一致的框架中来开发的,该框架用于选择最合适的供应商和制造商,绘制供应链上层建筑网络,并优化网络以识别和解决贸易问题。经济和环境因素之间的差距。为了说明该系统,解决了涉及紫杉醇生产的工业动机案例研究。[GRAPHICS]

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