Complete each assessment using one of the two text softwares; either QM for Windows or Excel QM OR Microsoft Office Excel. And, also, write an explanation narrative (see details below). Shows all work including model formulation and all applicable tables

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Complete each assessment using one of the two text softwares; either QM for Windows or Excel QM OR Microsoft Office Excel. And, also, write an explanation narrative (see details below).

Shows all work including model formulation and all applicable tables and graphs.

Submission is well formatted enabling ease of viewing. Completes full problem.

Using course content, provides model approach and solution explainations. In a seperate document (such as WORD), provides narrative explaining model formulation and solution. The narrative is to include an explanation of the model’s components and the rational behind those components. Additionally, it includes the solution and its impact. For the first assessment, for example, the narrative would explain why certain forecast models were selected and, as well, if used, the time periods, smoothing constant and/or weights. It would also provide the solution and what the solution means to the decision and its impact on the organization. Moreover, think of it this way, if you were the decision making manager dependent of the analysis from an analyst employee in making your decision, what would you want to know from that analyst employee?

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Narrative uses APA style. This link provides APA style information

Assessment 2: Due: See Assignments-At-A Glance or the Course Calendar

Chapter 2, Question 26 page 64.

1.  Formulate a linear programming model for this problem.  (35 points).

  List the objective function (minimize or maximize) and all model constraints.

2.  Solve this model graphically.  (15 points).

  Identify the following: each constraint line, feasible solution area, x1, x2 and Z for each point, and clearly identify the optimal solution.

Also answer these following questions complete and original.

1-      Explain the characteristics needed to use the transportation model.

2-      Explain the assumptions needed to use the assignment model.

3-      Explain the assumptions needed to use the assignment model.

4-      Discuss this question. What is the benefit of PERT/CPM? Give an example of how you have or could use PERT/CPM.

5-      For each of these five decision criteria: maximax, maximin, minimax regret, Hurwicz and equal likelihood; what type of person might find each appealing?

6-      What is meant by a calling population? From your own experiences give an example of both.

 

 

 

 

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