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Forecasting improvements for better reproductive health and family planning operations in global health supply chains
The lead supervisor: Dr Bahman Rostami-Tabar ([Email Address Removed])
Cardiff Business School supported by the ESRC Doctoral Training Partnership for Wales (Wales DTP), invites applications for PhD study. These particular studentships, known as ‘collaborative studentships’, involve liaison with a non-academic organisation, often at many key stages of the research programme. They will commence in October 2022.
This project is in collaboration with United States Agency for International Development (USAID)
Context/rationale
The ability of women to choose whether/when to become pregnant is of paramount importance to society. Yet, hundreds-of-millions of women in developing countries lack access to contraceptives [1].
Sound inventory/replenishment decisions of contraceptives rely upon accurate demand forecasts. Poor forecasts lead to either: (i) poor availability resulting in dropouts and unwanted pregnancies, with serious societal consequences such as poverty [1; 2]; or (ii) excessive stocks [2].
Producing good/effective forecasts is challenging [3; 4] because of: (i) lack of data availability and data quality issues [4]; (ii) complex demand and lead-time patterns [2; 5]; (iii) forecasting needs at multiple levels of geographical hierarchies [6; 7; 8]; and (iv) lack of an integrated inventory-forecasting framework [7; 9].
Suggested Aims
This project aims to make a contribution by: (i) creating an innovative non-parametric machine learning approach to accurately forecast in the presence of low-quality data (ii) strengthening the method by introducing a hierarchical structure of the problem; and (iv) linking forecasting to inventory optimisation through determination of the underlying loss function. There is scope for the student to further develop and refine research aims and research questions.
Scope
The research will be conducted within the supply chain of USAID, focusing on the context of Cote d’Ivoire. This constitutes an appropriate case because: (i) the DHS[a] report indicates that unmet needs for contraception among women aged 15-49 remain high, (ii) a new e-Logistics MIS[b] has recently been implemented facilitating data access and retrieval, (iii) USAID/Côte d’Ivoire are committed to improve access to contraceptives by developing and implementing technologies that empower decision-making. The anticipated solution is applicable to other developing countries given the similarity of data structures, data-quality related challenges, and relevant socio-economic factors. Applying the proposed solution will potentially reduce understocking/unmet needs, satisfy more demand, prevent waste, and improve reproductive health outcomes directly benefitting society. USAID will support dissemination of the results through internal learning events, encourage other countries to adopt the solution and share outcomes with donors in annual events.
Anticipated methods/design
In collaboration with the student and the partner, a relevant research design will be developed. This may include semi-structured interviews with representatives of USAID and relevant partners to understand the contraceptives supply chain challenges and document current processes, mathematical modelling, simulation, and (deductive) empirical research to address project aims. The inter-disciplinary nature of the project and the value added by the humanitarian context of application makes it timely and relevant.
References
Please see bottom of references section for further details.
Eligibility for the studentship
Applications are invited from exceptional candidates with a first class or strong upper second class honours degree, or appropriate Master’s degree. The University and ESRC Wales DTP value diversity and equality at all levels and we encourage applications from all sections of the community, irrespective of age, disability, sex, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief and sexual orientation. In line with our commitment to supporting and promoting equality, diversity and inclusion, and to increase recruitment of currently underrepresented groups, applications from Black British, Asian British, minority ethnicity British and mixed race British candidates are particularly encouraged and welcomed. We welcome applications for both full and part-time study, and studentships are available as either ‘1+3’ (i.e. one full time year of research training Masters followed by three years of full-time Doctoral study, or the part-time equivalent), or ‘+3’ (i.e. three years of full-time doctoral study or its part-time equivalent), depending on the needs of the applicant.
Please visit here for further information about the PhD Programme at Cardiff Business School.
Applications welcomed by 4th February 2022(1200 hours).
Please see references section for further details on how to apply. Applications should be made online, please visit the Business School website and click "apply now" Business Studies - Study - Cardiff University
Research output data provided by the Research Excellence Framework (REF)
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