Module Code: BMA5105

Module Title: Operations and Project Management

Individual Report : 2500 words

The Brief

A lot of Operations and Project Management is about making things better, finding better ways to deliver the same products or finding ways of making products better.

An important skill within industry is being able to identify operations improvements and then propose those improvements in the right way. The “right way” is the way that encourages people to understand and adopt your ideas. This is a chance for you to develop that skill.

Your brief is to make things better; propose an improvement in the operations management of an organisation. It can make things cheaper, quicker, improved, more flexible or dependable. It can involve goods, services, or both. It can be an organisation you work in, an organisation you have worked for, or you have seen or even one you have researched out of interest. The vital thing is you need to have sufficient information to do the following:

• Find a problem or an opportunity for
• Use appropriate Operations and Project Management tools to develop your proposal. Analyse what is happening, what is needed and what could be better. Use the tools to show how things can be
• Develop your proposal into a complete plan; what should be done, why, how and
• Present it well:
  1. Create a written proposal that includes all the relevant details that you need to clearly explain what you are recommending.
  2. Create a clear summary to help inform readers to be enthusiastic about your proposal; a summary should make a reader interested about the topic and explain the key parts of the

Your Work

• You should include a brief outline of your chosen organisation and the products/services to which your initiative
• You should present your initiative for change, describing what, how, why and when it could be implemented.
• You will support your initiative using analysis including operations and project management
• You will need some data, and you will need to explain how you gathered it, what assumptions you have made and any other data you would like before implementation (more details provided within lectures).