Question.2004 - You have put yourself into a group based on your chosen major. The posts that you write and the posts from your classmates that you read will be limited to this major and therefore help you focus and add to your understanding of your career. However, this discussion is an individual assignment, not a group project. Advice: Click on the ellipsis at the top right and read the Rubric for this assignment - know how this will be scored before you start you work. The word count exists to insure enough work is done while limiting how much work should be done. The "Do Not" items listed below are there to help you focus on what is important - doing them detracts from your work, does not document your understanding of Linear Programming, and reduces your score. Do not procrastinate starting this project - it can become time consuming given the searching and reading to be done. Review and understand the proper use and limitations of AI in this course (https://memphis.instructure.com/courses/109707/pages/syllabus-ai-in-this-college-course) (which may differ from other courses are are taking since there is no standard policy at this time).In Part 1 of this assignment, you have an opportunity to research articles within your field of interest (i.e., your major) that have used Linear Programming (optimization) as a tool in their study. The purpose is to let you see that this tool is frequently used when seeking an optimal solution to a constrained problem that interests you. You are writing a business-oriented brief of the article that focuses on the statistics, not a technical recitation of its contents or a business review of the company or product(s). In Part 2 of this assignment, you can read your classmate's posts and the articles they found, select one, and do some critical analysis on that article (not necessarily your classmate's original post).2/24/24, 9:36 AM Topic: Linear Programming - Management 2https://memphis.instructure.com/groups/12715/discussion_topics/508648 2/4 Part 1 (Note: This is due about 2 weeks prior to Part 2 - use the course calendar for specific dates) Do these Find an article in your major or industry (posted in the last 15 years) that explicitly used Linear Programming, aka Optimization, (Solver, SAS, SPSS, Lingo, or any other such tool) as part of its analysis. The article must address a specific business problem and use Linear Programming to solve it. The article must include some explanation of the formulas and data involved. A generic article does not qualify - nor does an article that explains, teaches, or provides examples of Linear Programming. Provide the URL to the article as a citation (not to any file you downloaded; other people must be able to easily access your source to do Part 2). Explain the business purpose of the model and identify the three primary components (DVs, Objective Function, and Constraints) in summary form. These should be descriptions, not the mathematical formulas. For this assignment, your audience consists of business people, not analysts or mathematicians. Your readers also understand what Linear Programming is - do not take any time to explain it. Describe the benefits the company / author gained as a result of using Linear Programming on this business problem. Explain what you've learned from this article about Linear Programming that you can apply to your career - some insight, awareness, or benefit that you weren't fully aware of prior to doing this research. Use the following outline for your submission: Introduction Decision Variables (summarize each one) Objective Function (explanation) Constraints (summarized list) Benefits (to the company / community) Lessons Learned (personally / professionally) Do not do these Do not select an article: That only talks about, explains, teaches, or provides examples of Linear Programming. The article must USE linear programming on actual data in the analysis of a business problem. If it USES LP on real data and has a little explanation, that's fine. If you are uncertain whether your article is appropriate for this assignment, email me the link for an assessment. That is behind a paywall. All readers should have free access to the article. Do not try to duplicate the solution itself in Excel; that is not the purpose of this assignment.2/24/24, 9:36 AM Topic: Linear Programming - Management 2https://memphis.instructure.com/groups/12715/discussion_topics/508648 3/4 Do not take time explaining what Linear Programming is; you can assume that your reader has that understanding. Do not introduce yourself - work history, interests, years at UM, major, .... Do not summarize the article - address only the topics above to maximize the limited time and space that is provided. Do not detail a company, products, or people - although that is interesting. Since this is a statistics course, focus your work on the application of Linear Programming to their business problem or opportunity. Search Tips Use "Linear Programming" as a term Use either "case study", "actual data", or "real life" as another term Use your major or interest (company, industry, geography) as another search term Note that many articles do not present the entire model or all of the data; they merely discuss it in general terms. Therefore you must read the article closely to extract as much as possible. If the authors provide too little information about the technique, either try to find a different article or clearly mention this weakness in your post (such an omission is an ethical issue since readers cannot fully grasp or validate the claim being made).Part 2 Do these Read 3-5 posts from your classmates AND their articles Select one of your classmates' posts for your comments (it cannot be the same article that you selected) Explain the potential for weaknesses in the model - or support why the model is good. You are not researchers, but write about what you have learned regarding of the primary characteristics of the model's components such as missing. variables, poor objective function, an excessive amount of variables, invalid or unreasonable constraints, etc. Explain why you think the linear optimization did or did not support the article's findings based on the technique(s) and data used as discussed in the article. Do not do these Do not comment about the author's work on their post - comment about the article and the characteristics noted above Do not repeat what the article is about, the DVs, Objective, constraints, the business, product, or service being addressed.Grading2/24/24, 9:36 AM Topic: Linear Programming - Management 2https://memphis.instructure.com/groups/12715/discussion_topics/508648 4/4 ? Reply? AttachReplies are only visible to those who have posted at least one reply. Part 1 is graded after Part 2 is submitted. Note that when both parts are added together, this is a significant assignment that is scored according to the corresponding Rubric (use the ellipsis at the top right to view).Notes regarding academic articles that you may find Many of the articles you find when searching will be academic in nature, and that's good. This will give you exposure to how serious research is performed. Simply be aware of the following characteristics of academic articles: Business academic articles have a general pattern: Introduction, Literature Review (or background, etc.), Model, Analysis, Conclusion. Academics often look at multiple characteristics or dimensions in one large research project. Some articles will have two or more models that they explore - often comparing and contrasting to find the best description of the data. Some articles will have multiple hypotheses. Many academic articles may have a large number of independent variables - often 10 or more (mine had 29). It's the same multiple linear regression that we study, just more variables. The concepts of t tests, F tests, adjusted R and more - stay the same. If you choose an academic paper for this assignment: Focus on explaining the general model, the goodness of fit, and any benefits you found Your article may include techniques that we do not study such as machine learning, non-linear regression, random forest, and many more. For this assignment, focus on the linear regression portion of the research. Do not spend a large amount of time on the background, history, or issues. If you feel this is necessary, they should be very brief - perhaps just 2 to 4 sentences. This assignment is your analysis of the linear regression that was used, not the larger context of the study itself.
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