Inventory planning and control in ‘green’ pharmacies supply chains – A System Dynamics modelling perspective
Computer Aided Chemical Engineering
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Tsolakis, N., & Srai, J. (2017). Inventory planning and control in ‘green’ pharmacies supply chains – A System Dynamics modelling perspective. Computer Aided Chemical Engineering, 40 1285-1290. https://doi.org/10.1016/B978-0-444-63965-3.50216-6
The aim of the present research is to explore inventory management decisions for ‘green’ pharmacies supply chains (SCs) defined by renewable chemical feedstock platform technologies. More specifically, we develop a System Dynamics (SD) modelling approach to investigate inventory planning and control operations of crude sulphate turpentine, as the source of renewable terpenoid feedstocks, and ‘green’ paracetamol, as the commercial medication, to support the design of SC operations for the emerging bio-based chemicals market. The applicability of the proposed simulation model is demonstrated through the case of the analgesics market in the United Kingdom to further inform the wider chemical and pharmaceutical communities about the untapped potential of using inexpensive terpenoid feedstocks as precursors for the sustainable synthesis of widely used medications. We adopt the SD methodology to capture the patients’ ecological awareness and provide an experimental simulation tool as the approach has been successful in studying the dynamic behaviour of complex supply networks. The study results allow for the exploration of different decisions for the management of renewable chemical feedstocks and ‘green’ pharmacies.
This research has received funding from the EPSRC under Grant Reference No. EP/K014889/1, Panel Name: “EPSRC Sustainable Chemical Feedstocks”, Project Full Title: “Terpene-based Manufacturing for Sustainable Chemical Feedstocks”, Project Duration: 2013-2018.
UNIVERSITY OF BATH (FB EPSRC) (EP/K014889/1)
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External DOI: https://doi.org/10.1016/B978-0-444-63965-3.50216-6
This record's URL: https://www.repository.cam.ac.uk/handle/1810/264690