IntroductionExecutive SummaryThis journal is an overview of my thoughts and experiences and my reflection on operations management and the topics we covered both in lectures and in my interactive workshops. In this journal I will cover the following: • My experiences in relation to operations management • A reflection on what I have learned in both lectures and tutorials • A reflection on the extra material we have accessed from Moodle. Week 1: 30 January Lesson: During week 1 lessons, lesson 1, we started our first topic, which is supply chain management. We started by watching a video that explains what supply chain management is. We saw in this video that there are many supply chains that need to take place in order for your products and services to be made. For example, making a water bottle and how many different resources are needed for the product to be finished and transported to the place where it will be sold. Another term for supply chain management is supply chain management. With supply chain management they need to produce goods and services such as hotels and their accommodation experiences, dining experiences etc. In order to do this effectively they have to purchase things like furniture, food, soaps and towels and also produce things like meals. Apart from this video, I watched another video available to me to understand SCM better. I watched the video clip about the "PUMA supply chain", here most of their products come from Asia through the ports of Los Angeles or Long Beach to the distribution centers where they then ship them to wholesale customers and stores PUMA retail. ...... half of the paper ...... recast increases the company's profit. Hard Rock Café uses the following forecasting techniques: These are quantitative forecasting techniques. • Moving averages • Weighted moving averages • Exponential smoothing • Regression analysis These are qualitative forecasting techniques: • Composite sales force • Consumer sales • Delphi method • Jury of executive opinion weighted moving averages - used to calculate the bonus awarded to managers.Ex.40%- this year's data40%- last year's data20%- previous year's dataNew target: (40*2013) + (40*2012) + (20*2011)Variance between what it really is happened and what was expected to happen. This is related to the factor rating method. Variances can be positive or negative, favorable or adverse. In the data warehouse, all the information comes back into one place so that analysts can review it all together. For example CDW-Eircom