UCD Michael Smurfit Graduate School of Business 2018, MSC (Supply Chain)

An Analysis of Procurement Risk and Performance in the Healthcare Industry

The 2018 MSC project was to deep-dive into the Irish healthcare system – general/acute and public/private hospitals -to develop supplier performance and risk management metrics across critical patient-facing categories including Screening, eHealth, Drugs / Medication, Vaccinations, Imaging and Community Healthcare. 

Our findings included
  • Identified key procurement/supply risks, performance metrics, and the criteria for business importance – defined by the category’s impact on patient care and cost efficiency
  • Identified health category specific Key Performance Indicators (KPIs) (derived from the identified risks) and defined thresholds constituting good performance in each specific category
  • Constructed risk/value matrices enabling the development of a best-in-class model from across the research group.
  • The findings will also shape the roadmap and design of Clearview’s SaaS SRM

UCD Michael Smurfit Graduate School of Business 2015, MBA

Supplier Risk Analysis Framework Development

The 2015 MBA class were tasked with designing a risk analysis framework – transferrable across industries. The subtlety here was to take the pulse of data in the public domain, identifying early warning signs of supplier failure through data harvesting from publicly available sources. 

Our findings determined that
  • The quantification of increased negative sentiment towards key subject terms indicates greater likelihood of a failure within a supply chain
  • There is a benefit of assigning sentiment to key subjects is to reduce ‘noise’, or irrelevant data, from the sources
  • The benefit of analysing negative sentiment alone is to eliminate semantic confusion and, therefore, enable the framework to be multilingual and transferable across industries
  • The framework’s traceability enables the decision makers to better evaluate and monitor risks

UCD, Faculty of Engineering 2017

Risk Analysis and Market Research Development Report within the Pharmaceutical Industry

Obtaining insightful, early/predictive market intelligence is a challenge for many in procurement and supply chain – to avert risk or to seize opportunity. Category and Supply strategies may be poorly crafted, and the buyer exposed.

The project was intended to support Clearview’s strategy to develop a minimal viable software to collate insightful, risk/opportunity-based market intelligence for procurement organisations. In particular, the software was intended to provide users with insightful, risk-classified information using sentiment as an risk indicator. This would enable users to search or be provided with information leveraging industry/category lexicons, public data sources, and trained sentiment and semantic tools.

The report focused on the pharmaceutical industry, key categories and the risk types and solutions. This enabled the research and analysis of both risk and market models for pharma, the development of a pharma risk model, the creation of a corresponding lexicons, and sentiment testing on sample articles.

UCD Michael Smurfit Graduate School of Business 2014, MSC (Supply Chain)

Supplier Risk Analysis across the Pharmaceutical & Food Industries

In our inaugural MSC research project the team were challenged with developing a Supplier Risk Management Tool to conduct a fast and effective supplier analysis, and to ensure transferability across key manufacturing industries – focused on categories including Packaging, Spares, Waste Management, and Chemicals

Upon completion of primary and secondary research – including the examination global supply chain risks faced by industry leaders and their supply chain

The project outputs included
  • Identification of the various types of risks in major direct and indirect categories
  • The process of analysing key risks and mitigating or preventing risks
  • Detailed risk analysis (in collaboration with site category managers) including risk identification, definition, conditions to trigger, frequency, probability & impact, and prioritisation
Key findings included
  • Awareness of primary risk types
  • Inadequacy of resources made available to supply chain managers to tackle these risks
  • Evidence of unseen risks, but limited evidence of risk prediction tools
  • Site visits and a comprehensive supplier issue tracking system are the most widely used tools for early identification of supplier risks, but lack standardisation and integration, require significant manual maintenance
  • While there are regulatory drivers, the current usage of risk analysis tools is strongly dependent on the budget available

UCD, School of Materials & Mechanical Engineering, 2019

Carbon Footprint Project

The agri-food carbon footprinting project aim was to develop an implementation framework to assist companies in the agri-food industry assess and monitor the environmental performance of their various manufactured products across their entire supply chain. The product focus area was minced beef with MAP packaging.

The results of this project have practical implications for governmental and non-governmental environmental agencies highlighting the factors that are negatively contributing to the sustainable consumption and production practices in Agri-food supply chains.

This report includes a state-of-the-art literature review which helps to select the best research methodology and provide a benchmark comparison for the research result.

Built a LCA model and calculated the various environmental indicators and the final potential impacts for the environment caused by the greenhouse gasses comparing different stages emission.

Various improvement scenarios were also developed which can help to reduce the emissions during the life cycle of minced beef.

This report also proposes the best farm practices in the agri-food industry to minimalize the negative impact on the environment.