GBA 334 Application Assignment 7 Instructions

Gba 334 Application Assignment 7 Instructions

Application assignments require solving problems from the textbook. Most of the problems require that you use Excel QM. Some chapters will require you to use POM QM for Windows or TreePlan. The answers must be submitted to the Dropbox in a Microsoft Word or Microsoft Excel file. You must state your answers within a complete sentence so that your understanding of applying the results of the computations can be observed.

You should also include the work for your computation; this will assist in applying partial credit if your answers are not correct. Do not submit QM for Windows files as server security policies do not allow many of these files to be passed in the system. If you need to show the QM work, either save as an Excel file (a function within QM) or paste a screen capture of the QM Entry Screen before solving AND the QM result screen(s).

Note: QM files should not be sent through the online system. If using QM for your solution, run the file in QM and then copy and paste the solution into a MS Excel file (within QM there is an option tab at bottom of the screen to save as MS Excel). If you cannot do this, with the QM solution file open on your screen, select alt-print screen and then paste the image into a MS Excel file.

If you need any assistance, please do not hesitate to contact your instructor. He or she will be happy to assist. For this module, you will complete the following problems from the textbook:

- Chapter 10, page 488, Problem 40 using Excel QM

- Chapter 11, pages , Problems 19, 37, and 41 using Excel QM

Submit Application Assignment 7 to the Dropbox no later than Sunday 11:59 EST/EDT of Module 7. Remember, the required formats are Microsoft Word and Microsoft Excel.

Paper For Above instruction

The assignment for GBA 334 involves solving specific problems from the textbook utilizing appropriate decision-support software, such as Excel QM, POM QM for Windows, or TreePlan. The primary goal is to demonstrate an understanding of the problem-solving process and to present answers clearly within complete sentences, facilitating the assessment of applied knowledge. Submission should be in Microsoft Word or Excel format, including detailed work or screenshots of QM entries and results to support the answers provided.

Effective use of Excel QM is emphasized, with instructions to save work appropriately and include necessary screenshots when submitting. Files should not be directly uploaded from QM for Windows due to security restrictions. Instead, solutions can be exported to Excel or captured via screenshot and inserted into an Excel file. Clear, step-by-step documentation of the computational process will help ensure partial credit is awarded if answers are incorrect.

The specific problems to be completed are from Chapter 10 (page 488, Problem 40) and Chapter 11 (Problems 19, 37, and 41). These problems must be solved using Excel QM, demonstrating competency in applying management science tools to real-world decision problems. The deadline for submission is Sunday at 11:59 PM EST/EDT of Module 7. Proper formatting and completeness of work are essential for successful grading, and students should seek instructor assistance if needed to ensure proper application of software and problem-solving techniques.

References

  • Winston, W. L. (2014). Operations research: Applications and algorithms. Cengage Learning.
  • Altiok, T., & Melamed, B. (2012). Simulation modeling and analysis with Arena. Academic Press.
  • Hillier, F. S., & Lieberman, G. J. (2021). Introduction to operations research. McGraw-Hill Education.
  • Francis, R. L., & White, J. A. (2014). Operations management: Creating value along the supply chain. McGraw-Hill Education.
  • Barry, J. (2011). Business analytics: Data analysis & decision making. Wiley.
  • Ragsdale, C. T. (2018). Spreadsheet modeling & decision analysis. Cengage Learning.
  • Law, A. M., & Kelton, W. D. (2007). Simulation modeling and analysis. McGraw-Hill.
  • Gass, S. I. (2003). Encyclopedia of operations research and management science. Springer.
  • Shtub, A., Bard, J. F., & Globerson, S. (2014). Project management: Processes, methodologies, and economics. Springer.
  • Winston, W. L. (2004). Operations research: Applications and algorithms. Thomson Brooks/Cole.

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