IntroductionSummary This journal is an overview of my thoughts and experiences and my own reflection on operations management and the topics we have covered in the conferences and my interactive workshops. In this journal I will cover the following:• My own experiences with operations management• A reflection on what I have learned in courses and tutorials• A reflection on the additional material we have had access to through Moodle.Week 1: 30 January Classes: During the lessons of week 1, lesson 1, we started our first topic which was supply chain management. We started by watching a video clip explaining what supply chain management is. We saw in this video that there are many supply chains that must take place for your products and services to be realized. For example, making a water bottle and how many different resources you need to get the product finished and transported to where it will be sold. Another term for supply chain management is supply chain management. With supply chain management, they have to manufacture goods and services such as hotels and their accommodation experiences, culinary experiences, etc. To be able to do this effectively, they need to buy things such as furniture, food, soaps and towels and also make things such as meals. In addition to this video clip I watched another video clip that was available to me to better understand SCM. I watched the video clip on "The PUMA Supply Chain" here, the majority of their products arrive from Asia via the ports of Los Angeles or Long Beach to their distribution centers where they then ship them to their wholesale customers and PUMA retail stores. ...... middle of paper ...... the redesign generates profits in the company. The following forecasting techniques are used by Hard Rock Café: These are quantitative forecasting techniques. moving averages - used to calculate the bonus paid to managers. For example 40% - this year's data 40% - last year's data 20% - previous year's data New target: (40*2013) + (40*2012) + (20*2011) Difference between this what actually happened and what was planned. This is related to the factor scoring method. Variances can be positive or negative, favorable or unfavorable. Data warehouse, all information is returned to one place so analysts can look at it all together. For example, CDW-Eircom