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

Author

Listed:
  • Emad Sadoon

    (Department of Industrial Engineering, Dalhousie University, Halifax, NS B3H 4R2, Canada)

  • Uday Venkatadri

    (Department of Industrial Engineering, Dalhousie University, Halifax, NS B3H 4R2, Canada)

  • Alireza Ghasemi

    (Department of Industrial Engineering, Dalhousie University, Halifax, NS B3H 4R2, Canada)

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.

Suggested Citation

  • Emad Sadoon & Uday Venkatadri & Alireza Ghasemi, 2023. "A Conceptual Framework for Logistics Management and Project Planning in the Clinical Trials Industry," Logistics, MDPI, vol. 7(4), pages 1-42, November.
    • Handle: RePEc:gam:jlogis:v:7:y:2023:i:4:p:88-:d:1287358
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    References listed on IDEAS

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    1. Herroelen, Willy & Leus, Roel, 2005. "Project scheduling under uncertainty: Survey and research potentials," European Journal of Operational Research, Elsevier, vol. 165(2), pages 289-306, September.
    2. Kathleen M. Eisenhardt & Jeffrey A. Martin, 2000. "Dynamic capabilities: what are they?," Strategic Management Journal, Wiley Blackwell, vol. 21(10‐11), pages 1105-1121, October.
    3. F. Brian Talbot, 1982. "Resource-Constrained Project Scheduling with Time-Resource Tradeoffs: The Nonpreemptive Case," Management Science, INFORMS, vol. 28(10), pages 1197-1210, October.
    4. Beşikci, Umut & Bilge, Ümit & Ulusoy, Gündüz, 2015. "Multi-mode resource constrained multi-project scheduling and resource portfolio problem," European Journal of Operational Research, Elsevier, vol. 240(1), pages 22-31.
    5. Ofer Zwikael & Shlomo Globerson, 2007. "Quality Management: A Key Process in the Service Industries," The Service Industries Journal, Taylor & Francis Journals, vol. 27(8), pages 1007-1020, December.
    6. Opresnik, David & Taisch, Marco, 2015. "The value of Big Data in servitization," International Journal of Production Economics, Elsevier, vol. 165(C), pages 174-184.
    7. DiMasi, Joseph A. & Hansen, Ronald W. & Grabowski, Henry G., 2003. "The price of innovation: new estimates of drug development costs," Journal of Health Economics, Elsevier, vol. 22(2), pages 151-185, March.
    Full references (including those not matched with items on IDEAS)

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