Requirements You are required to compile a detailed report following the above-mentioned indications, where the optimal solution is described for the Supply Network Management problem below. Relevant data for the parameters of the problem is provided in a datasheet. In addition, each student is assigned an individual datasheet for some of these parameters of the problem, which will make the dataset of each student unique. These are available on the MGT6155 Blackboard page. Consider a multiple-echelon Supply Network, organised as follows: In the first tier, primary products A are produced in plant As, which can be either fed into Plant Bs from the second tier, in order to produce intermediary products B, or sold on the market. Product B can be sold to customers, but is also a production input to the final product C, which in turn is produced in the third tier. Product C can be sold to customers, while plant Cs can be fed also by external sources for product B whenever convenient. At each stage, a conversion ratio is provided from input materials to products. As the manufacturing process is not perfectly reliable, only a certain percentage of the production is good. There are processing capacities and storage capacities for both raw materials and products. The objective is to find the optimal solution in terms of: Production quantities at each plant for each period; Shipments on each route for each period; Inventories at each plant for each period; with the aim to minimise the production and logistics costs, whilst meeting the required demand. In the report, you need to: ● Identify and describe the characteristics and the complexity of the appropriate Supply Chain optimisation model; ● Translate your individual datasheet into a dataset to feed the model (dataset to be included in your report as in appendix A); ● Execute the optimisation process in IBM ILOG CPLEX Optimization Studio and export the results (results to be included in your report as in appendix B); ● Describe accurately the obtained solutions and the characteristics of the computational process, explain the solutions in detail along with the underlying reasons of why these results are obtained; ● Perform basic sensitivity analyses on the parameters as per indications in your datasheet, explain your findings along with the underlying reasons; ● Perform what-if analyses as per indications in your datasheet, explain your findings along with the underlying reasons; ● Provide a final summary of your findings, suitable for a management report, including your relevant comments and any managerial recommendations. VERY IMPORTANT NOTES: The use of AI or Generative AI, either in full or in part, is strictly prohibited in completing the coursework. Utilizing prohibited AI tools will incur penalties as outlined in the University's Unfair Means and AI Use in Assessment Guidance. Assignments will be scrutinized for authenticity, with a specific emphasis on original thought and analysis. Violations of these guidelines will be treated as academic misconduct and will be subject to the disciplinary actions defined in the university's academic integrity policy, which includes potential failure of the assignment or course. To provide clarity, the following types of generative AI are explicitly prohibited: o AI tools that assist in the generation of content, including but not limited to text, code, visual materials, and qualitative or quantitative analysis. This prohibition includes, but is not limited to, tools such as ChatGPT and Gemini. o AI-driven tools aimed at improving English grammar, vocabulary, or spelling, such as Grammarly. o As alternatives, students are encouraged to use, for example, academic databases (e.g., Google Scholar, Star Plus Library) and online writing guides (e.g., Purdue Online Writing Lab). | 
