A Conceptual Framework for Logistics Management and Project Planning in the Clinical Trials Industry

Logistics Pub Date : 2023-11-24 DOI:10.3390/logistics7040088
Emad Sadoon, U. Venkatadri, Alireza Ghasemi
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Abstract

Background: Logistics management in the clinical trials industry is a very challenging undertaking because it involves multiple stakeholders, complex processes, diverse software applications, intensive white-collar jobs, and onerous quality standards. Current business practices are inefficient and difficult to automate technologies. Methods: This paper reviews the theories and concepts of clinical trials logistics management. The inefficiencies in current logistics management industry are then addressed by building a conceptual framework based on contemporary software tools and architectures, such as web portals, software agents, business process management system, project cards, and resource cards, all interacting with specialized software applications such as accounting, inventory, and label design software. The framework supports data analysis at multiple levels of decision making. To this end, a project planning tool for facilitating and optimizing the operational planning in this industry is designed and presented. Results: The planning tool also contributes to the literature by contrasting several different resource scenarios such as the shared pool, dedicated resources for each project, and the creation of several work groups with dedicated resources. These are Pareto trade-offs. Conclusions: A framework employing a business process management is proposed for clinical trials logistics management. Different managerial scenarios with shared, dedicated, and work group resources are investigated using a case study.
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临床试验行业物流管理和项目规划的概念框架
背景:临床试验行业的物流管理是一项极具挑战性的工作,因为它涉及多个利益相关者、复杂的流程、多样化的软件应用、高强度的白领工作以及繁重的质量标准。目前的业务实践效率低下,难以实现技术自动化。方法:本文回顾了临床试验物流管理的理论和概念。然后,针对当前物流管理行业效率低下的问题,建立了一个基于当代软件工具和架构的概念框架,如门户网站、软件代理、业务流程管理系统、项目卡和资源卡,所有这些都与会计、库存和标签设计软件等专业软件应用程序相互作用。该框架支持多层次的决策数据分析。为此,设计并展示了一个项目规划工具,用于促进和优化该行业的运营规划。结果:该规划工具还对比了几种不同的资源方案,如共享资源池、每个项目的专用资源,以及创建几个拥有专用资源的工作组,从而对文献做出了贡献。这些都是帕累托权衡。结论为临床试验物流管理提出了一个采用业务流程管理的框架。通过案例研究探讨了共享资源、专用资源和工作组资源的不同管理方案。
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