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Supply Chain Optimization Dataset snapshots: Questions below: begin{tabular}{|l|l|r|} hline 1 & (Units/month) & multicolumn{1}{|c|}{ Demand } hline 2 & USA & 2,800,000 hline
Supply Chain Optimization
Dataset snapshots:
Questions below:
\begin{tabular}{|l|l|r|} \hline 1 & (Units/month) & \multicolumn{1}{|c|}{ Demand } \\ \hline 2 & USA & 2,800,000 \\ \hline 3 & Germany & 90,000 \\ \hline 4 & Japan & 1,700,000 \\ \hline 5 & Brazil & 145,000 \\ \hline 6 & India & 160,000 \\ \hline \end{tabular} Fixed costs \begin{tabular}{|c|l|r|r|r|r|r|} \hline \multicolumn{1}{|c|}{A} & \multicolumn{1}{c|}{B} & \multicolumn{1}{c}{C} \\ \multicolumn{1}{c|}{C} & \multicolumn{1}{c|}{D} & \multicolumn{1}{c|}{E} & \multicolumn{1}{c|}{F} \\ \hline 1 & Freight Costs (\$/Container) & \multicolumn{1}{c|}{ USA } & Germany & Japan & \multicolumn{1}{c|}{ Brazil } & \multicolumn{1}{c|}{ India } \\ \hline 2 & USA & 0 & 12250 & 1100 & 16100 & 8778 \\ \hline 3 & Germany & 13335 & 0 & 8617 & 20244 & 10073 \\ \hline 4 & Japan & 15400 & 22750 & 0 & 43610 & 14350 \\ \hline 5 & Brazil & 16450 & 22050 & 28000 & 0 & 29750 \\ \hline 6 & India & 13650 & 15400 & 24500 & 29400 & 0 \\ \hline \end{tabular} \begin{tabular}{|l|l|r|r|r|r|r|} \hline \multicolumn{1}{|c|}{ A } & \multicolumn{1}{c|}{ B } & \multicolumn{1}{c|}{ C } & \multicolumn{1}{c|}{D} & \multicolumn{1}{c|}{ E } & \multicolumn{1}{c|}{F} \\ \hline 1 & Variable Costs (\$/Unit) & USA & Germany & Japan & Brazil & \multicolumn{1}{|c|}{ India } \\ \hline 2 & USA & 12 & 12 & 12 & 12 & 12 \\ \hline 3 & Germany & 13 & 13 & 13 & 13 & 13 \\ \hline 4 & Japan & 10 & 10 & 10 & 10 & 10 \\ \hline 5 & Brazil & 8 & 8 & 8 & 8 & 8 \\ \hline 6 & India & 5 & 5 & 5 & 5 & 5 \\ \hline \end{tabular} i) Please use the snapshot datasets: (a) capacity (b) demand (c) fixed costs (d) freight costs (e) yquigble costs ii) Please use the Google Colab notebook or any python notebook to answer this question. iii) Answer ALL the questions: a. Identify issues with the changing policies under each scenario. b. Discuss the optimal solution generated from the optimization Question Find the optimal locations of your manufacturing facilities to meet your customers' demand and reduce production costs. Scenario A i. Freight costs from USA to Germany increased by 10% ii. Freight costs from India to US increased by 15% iii. Fixed costs for low-capacity plant in Brazil increased to $4000 Scenario B i. Variable costs for India increase by 10% and in USA, it is increased by 5% ii. Demand in Japan increase to 2,000,000 iii. Demand in India increase to 200,00 Scenario C i. There will be no more plant capacity in Germany ii. Freight costs from India to Germany is increased by $1000 iii. Variable costs for India increased by $2
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