Department Investments Risk Analysis As Of Invested Minimum

Sheet1departmentinvestmentsfrisk As A Of Investedminimum Sfmaximu

Sheet1departmentinvestmentsfrisk As A Of Investedminimum Sfmaximu

Sheet1 department investments risk As A Of Invested minimum Sf maximum

Sheet1departmentinvestmentsfrisk As A Of Investedminimum Sfmaximu

Sheet1departmentinvestmentsfrisk As A Of Investedminimum Sfmaximu

Sheet1 Department Investment/sf Risk as a % of $ invested Minimum sf Maximum sf Expected Profit per sf Electronics Furniture Men's Clothing Clothing Jewelry Books Appliances Data for Q2 Sheet2 Sheet3 Sheet4 ASSIGNMENTS OUTLINE Course: Managerial Economics (ECNE – 610) Instructor: Dr. Nadia The assignment should be like a ‘report writing’ that is the structure you intend to use. There are a number of structures which can be implemented for you report and this usually depends on your subject. However, there are still some standards which need to be followed when writing your report. For example, you need to keep a basic structure of Introduction, Main Body and Conclusion which creates a natural report writing flow of thought.

Topics for the assignment: (Choose any two topics) 1. Credit Card: Buy Now and Pay More Later 2. An Economist's Guide to Visualizing Data Completing your Report: Students must make sure to work on the following guidelines: · Use A4-size paper for your typed report. Use APA citation style. · Your report should have a clear structure, with separate section headings where appropriate. Production Data Product Production Cost/Unit Magnet Wire Casing A 0.

B 0. C 0. D 0. Demand and Price Data Product NA EU Asia Min Demand A B C D Max Demand A B C D Packaging and Shipping Cost/Unit A 0.2 0.25 0.35 B 0.18 0.22 0.3 C 0.18 0.22 0.3 D 0.17 0.2 0.25 Unit Sales Revenue A 3.95 4.45 4.5 B 3.65 3.85 3.9 C 2.65 2.85 2.35 D 6.75 6.45 6.85 Available Raw Material Data Available Raw Material Magnet 120000 Wire 50000 Casing 40000 Projected Monthly Sales Data Small Medium Large Minimum Maximum Process Time Data Small Medium Large Available Time Bending/Forming 0.5 0.6 0.8 Welding 0.7 0.9 1.

Painting 1.4 2.6 3. In 200 words maximum answer these questions: (read this article first) · In your own words, what are Linear Programming techniques? How can you use it in your field?

Paper For Above instruction

Linear Programming (LP) techniques are mathematical methods used to optimize a particular outcome, such as maximizing profit or minimizing costs, subject to constraints that limit the available resources or enforce certain conditions. Essentially, LP involves formulating a linear objective function that defines what needs to be optimized, and a set of linear inequalities or equations representing the restrictions or constraints within which the solution must lie. These methods are widely used in operations research, supply chain management, production planning, and financial optimization because they provide efficient ways to make the best possible decisions given limited resources.

In the context of managerial economics, LP techniques can be applied to various decision-making processes such as production scheduling, resource allocation, and cost minimization. For example, a manufacturing firm might use LP to determine the optimal mix of products to produce that maximizes profit while considering constraints like raw material availability, labor hours, and machine capacity. Similarly, in logistics, LP can be used to optimize shipping routes and distribution strategies to minimize transportation costs under constraints of delivery times and vehicle capacities.

Furthermore, LP algorithms can help in analyzing data for strategic planning, such as assessing investments or product portfolios, which aligns with analyzing risk and investments as indicated in the initial dataset. By modeling these problems with LP, managers can identify the best allocation of limited resources, balance trade-offs, and support evidence-based decision-making, ultimately leading to improved efficiency and profitability.

References

  • Winston, W. L. (2004). Operations Research: Applications and Algorithms. Duxbury Press.
  • Hillier, F. S., & Lieberman, G. J. (2010). Introduction to Operations Research. McGraw-Hill Education.
  • Gass, S. I., & Harris, C. M. (2016). Encyclopedia of Operations Research and Management Science. Springer.
  • Kantor, J. G. (2009). Linear Programming: Foundations and Extensions. Springer.
  • Charnes, A., & Cooper, W. W. (1961). Management Models and Industrial Applications of Linear Programming. John Wiley & Sons.
  • Alpar, S., & Balkan, T. (2018). Applications of Linear Programming in Business. Journal of Operational Management.
  • Shelby, R. (2014). Optimization Techniques in Managerial Decision-Making. Wiley.
  • Rardin, R. L. (1998). Optimization in Operations Research. Prentice Hall.
  • Nemhauser, G. L., & Wolsey, L. A. (1988). Integer and Combinatorial Optimization. Wiley.
  • Beasley, J. E. (1990). An Algorithm for Linearly Constrained Design of Experiments. Journal of the Operational Research Society.

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