Business Analytics and Optimisation

LocationCavendish, Central London
FacultyScience and Technology

Today, organisations should adapt quickly and constantly to the changing business environment and cost limits. Therefore, they need to develop their business processes to make use of scarce resources effectively and efficiently. In order to deal with complex processes and problems, businesses need to optimise the system in addition to data analysis.

The goal of this course is to introduce optimisation models to allow decision-makers to analyse and optimise the use of resources. In computer modelling of business problems, optimisation is achieved by using the linear programming techniques of operations research.

This course presents participants with various quantitative optimisation models that are frequently employed in businesses, such as scheduling, resource allocation, location problems, assignment problems, transportation problems and routing.

Who is this course for?

Although this course is aimed at decision-makers in businesses, specifically in health and social care, as well as local authorities, government services, clinical commissioning groups and primary care trusts, the knowledge is transferrable to other fields and services.

We will focus on illustrating concepts through examples, which we will solve interactively with participants. Examples are taken from the health and social care setting, but apply to a wide variety of business environments. The course uses MS Excel for modelling and solving problems.

The quantitative models for decision-making we will introduce cover how to interpret the results and computer solutions to make more informed decisions. Therefore, a basic knowledge of algebra should be sufficient to follow the content of the course.

Dates Duration Price  
We run this course on request for a number of people. Please register your interest. 1 day


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Course content

This course is held in computer laboratories and paticipants will be able to work on problems with the help of the tutor using MS Excel.

The course will cover:

  • introduction to modelling and decision analysis
  • modelling and solving problems in a spreadsheet
  • scheduling – ordering tasks and committing resources between them such as staff and work force, operating rooms, etc
  • resource allocation – distributing products and services in health and social care services such as beds and screening services in a hospital
  • location problems – locating facilities and service centres
  • case study on hospital resource allocation

By the end of this course, you will be able to:

  • appreciate a wide variety of optimisation models for health and social care
  • evaluate and analyse different models and their use
  • understand the process of mathematical modelling using spreadsheets
  • develop and run optimisation models
  • demonstrate an awareness of the different applications of business optimisation

Banafsheh Khosravi

Banafsheh Khosravi is a Research Associate in the Health and Social Care Modelling Group (HSCMG) at the University of Westminster.

Banafsheh did her PhD in Management Science – Operational Research at the University of Southampton, UK. She obtained an Industrial Engineering MSc from Eastern Mediterranean University, Cyprus, and an Industrial Engineering BSc from Amirkabir University of Technology (Tehran Polytechnic), Iran. She held scholarships from the University of Southampton and Eastern Mediterranean University for her PhD and MSc studies.

Her main research interests are in the areas of optimisation, scheduling, heuristics and their applications in health care and transportation. She has teaching experience as a lecturer and a teaching assistant in various topics in the School of Management and School of Mathematics at the University of Southampton, Department of Business Information Systems at the University of Westminster and Department of Industrial Engineering at Eastern Mediterranean University.

She also worked as a programmer in a joint European Space Agency project among 5 European universities.

Contact us

Faculty of Science and Technology

Verena Bogner
Programme Administrator

+44 (0)20 7911 5000 ext 69529