This Activity Consists Of Two Problems. Problem One Gary Seitz Is The Director Of Procurement

This Activity Consists Of Two Problems. Problem One Gary Seitz Is The Director Of Procurement

 

This activity consists of two problems.

Problem One

Gary Seitz is the director of procurement for the Forest Medical Center in Oak Park, Illinois. His medical center recently purchased more than 300 new side tables for the patient rooms from Quick-and-Cheap Furniture. His team, however, is not happy with the paint quality of these tables. They feel the firm providing the tables was rushed to get the order out and did not do a great job.

They have examined each of the 312 tables that they have received so far and found the following defects, listed in alphabetical order:

Table DefectsProblemNumber of OccurrencesDirt in paint65Off-color17Orange peel12Other1Sad looking43Scratch11Sealer under8Thin paint31

Instructions

Use Excel to:

  1. Create a Pareto Chart for this situation.
  2. Create and complete a table for this situation using the following headers:
    • Problem.
    • Frequency.
    • Cumulate Frequency.
    • Percentage.
    • Cumulate Percentage.
  3. List the most frequently occurring problem first in the table, then the next more frequently occurring problem second in the table, and so forth.

In a Word document:

  1. Draw two conclusions about the quality of the patient tables that Quick Furniture has shipped to the Forest Medical Center.

Submit both your Word and Excel files.

Problem Two

Ted Short, the manager of procurement at the Lake Luna Medical Center (LLMC), is starting a process to examine the general process that is followed at his center for procurement of medical supplies at his facility. His first step is to develop a flowchart for the current process that employees at his center follow. He has asked you to draw that flowchart for him and make any obvious changes to shorten the process.

Here are the key steps that are followed:

  1. The LLMC employee fills out a paper requisition and sends that to his department head for approval.
  2. The department secretary first examines the requisition to see if all the needed information is present. If it is, then she sends it to the department head for approval. If not, she returns to the employee for any needed corrections. The employee then returns the requisition to the department secretary for review again.
  3. Requisitions with the correct information are sent to the department head.
  4. The department head reviews the item to determine if the material requested seems appropriate. He may contact his employee to discuss any questions he might have.
  5. If he feels it is inappropriate, then he rejects the request and sends it back to the employee.
  6. If he feels it is appropriate, then he checks the budget to see if there are sufficient monies in the budget to pay for this. If there are not, then he rejects the request and sends it back to the employee. If there are sufficient funds, then he approves them.
  7. If the requisition is approved, then the department secretary sends the requisition to a member of the LLMC Procurement Team.
  8. The LLMC procurement specialist checks to see if the suggested vendor on the requisition is on the approved vendor list (AVL).
  9. If not, he sends the request back to the department secretary and the process starts all over if the LLMC employee wants to continue to pursue it. If the employee does not, then the requisition is terminated.
  10. If the vendor is on the AVL, the LLMC procurement specialist checks to see if a quote is required, either based on the type of equipment and material required or on the amount of the purchase.
  11. If no quote is required, the procurement specialist transmits the PO to the vendor for execution.
  12. If a quote is required, then the specialist contacts the vendor and asks for a quote. If the quote is satisfactory based on past purchases of such items, the specialist approves the quote and places the order.
  13. If the quote is too high, the specialist contacts the LLMC employee and asks for another vendor to check. The procurement specialist then checks the second vendor. Usually, a procurement specialist will have to check only two vendors at most.
  14. If the specialist cannot find a vendor with it suitable price after two tries, then the PO is canceled.
  15. When the specialist finds a vendor who submits a suitable quote, she transmits the PO to the vendor for execution by US postal service or by telephone.
  16. The procurement specialist then logs the transaction into the financial system.
  17. The procurement specialist then forwards the request to the Accounts Payable Department for payment when the receipt of the materials and equipment ordered, is acknowledged.

Instructions

Use Microsoft Word to complete the following:

  1. Develop a flowchart for this process.
  2. Suggest three improvements, based on total quality management, that Ted Short can use to make the current process more efficient.

Submit your Word document(s).

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    Consider The Following Linear Program. Min8X + 12Ys.T.1X + 3Y ‰¥ 62X + 2Y ‰¥ 86X + 2Y ‰¥ 12X,Y‰¥ 0 (A) Use

    Consider The Following Linear Program. Min8X + 12Ys.T.1X + 3Y ‰¥ 62X + 2Y ‰¥ 86X + 2Y ‰¥ 12X,Y‰¥ 0 (A) Use

    Consider the following linear program.

    Min8X + 12Ys.t.1X + 3Y ≥ 62X + 2Y ≥ 86X + 2Y ≥ 12X,Y≥ 0

    (a)
    Use the graphical solution procedure to find the optimal solution.
    What is the value of the objective function at the optimal solution?
    at (X, Y) = 

     

    (b)
    Assume that the objective functio

       

      In Some Ordering Problems, Like The One For Sam’S Bookstore, Whenever Demand Exceeds Existing

      In Some Ordering Problems, Like The One For Sam’S Bookstore, Whenever Demand Exceeds Existing

      1. In some ordering problems, like the one for Sam’s Bookstore, whenever demand exceeds existing inven- tory, the excess demand is not lost but is filled by expedited orders—at a premium cost to the company. Change Sam’s model to reflect this behavior. Assume that the unit cost of expediting is $40, well above the highest regular unit cost.

      2. In the Sam’s Bookstore problem, the quantity discount structure is such that all the units ordered have the same unit cost. For example, if the order quantity is 2500, then each unit costs $22.25. Sometimes the quantity discount structure is such that the unit cost for the first so many items is one value, the unit cost for the next so many units is a slightly lower value, and so on. Modify the model so that Sam’s pays $24 for units 1 to 1500, $23 for units 1501 to 2500, and $22 for units 2501 and above. For example, the total cost for an order quantity of 2750 is 1500(24) 1 1000(23) 1 250(22). (Hint: Use IF functions, not VLOOKUP.)

      3. Continuing Problem 1, create a two-way data table for expected profit with order quantity along the side and unit expediting cost along the top. Allow the order quantity to vary from 500 to 4500 in incre- ments of 500, and allow the unit expediting cost to vary from $36 to $45 in increments of $1. Each col- umn of this table will allow you to choose an opti- mal order quantity for a given unit expediting cost. How does this best order quantity change as the unit expediting cost increases? Write up your results in

      a concise memo to management. (Hint: You will have to modify the existing spreadsheet model so that there is a cell for expected profit that changes automatically when you change either the order quantity or the unit expediting cost.)

         

        z-Score For this assignment use the data you created in your W1 Midweek Assignment Using

        z-Score For this assignment use the data you created in your W1 Midweek Assignment Using

        z-Score For this assignment, use the data you created in your W1 Midweek Assignment. Using Microsoft Excel and following the instructions given in your lecture, convert each subject’s age and height into a z-score. Using the z-score of ±1.645 for the 5 percent cutoff and the z-score of ±1.96 for the 2.5 percent in the tail, identify the subject identification (ID) number for subjects who fall at or above the cutoff for the upper 2.5 percent and 5 percent of the scores and those who are at or below the lower 2.5 percent and 5 percent of the scores. Do this by comparing each participant’s z-score with the appropriate critical value (1.645, 1.96, -1.645, -1.96). To fall into the upper tail of 5% (the 95th percentile), a participant’s z-score would need to be equal to or greater than 1.645. To fall into the upper tail of 2.5% (the 97.5th percentile), the z-score would need to be equal to or greater than 1.96. For the tails at the lower end, you would look for z-scores of -1.645 or lower (5%) or -1.96 or lower (2.5%) Using the following table, identify the subject ID numbers in the tails for the appropriate cutoffs in an APA formatted Microsoft Word document. Age Height Upper Extremes Lower Extremes Upper Extremes Lower Extremes 5% 2.50% 5% 2.50% 5% 2.50% 5% 2.50% z =        1.645    or higher z =        1.96       or higher z=            -1.645    or lower z=            -1.96    or lower z =        1.645    or higher z =        1.96       or higher z=            -1.645    or lower z=            -1.96    or lower Participant IDs for those with z-scores that fall into these extremes go in the boxes below

        Your active participation in the discussions is essential to your overall success this term. Discussion

        Your active participation in the discussions is essential to your overall success this term. Discussion

        Your active participation in the discussions is essential to your overall success this term. Discussion questions will help you make meaningful connections between the course content and the larger concepts of the course. Due to the sensitive nature of the article for this assignment, you will interact privately with your instructor for this discussion.   In the article, Differences Between Age and Sex in Adolescent Suicide, by Lee, Dwyer, Paul, Clarke, Treleaven, and Roseby (2019), the methods in Chapter 17 (17.3) of your textbook were used to analyze the data. Please refer to this article in the Reading and Resources area of this week’s module. Use Table 1, and Figures 1 and 2 in the article to respond to the following:  1. Describe one type of stressor that occurred statistically significantly more often in one age group over another (older vs younger). Describe which age group was more likely to be affected by this stressor and by how much.  2. Which method of suicide are females statistically significantly more likely to use as compared to males? Which method do males tend to use more than females? What other results are provided or what other data could be presented to help explain this finding?  3. Describe the story that is being told by Figure 1 and Figure 2. Then explain why the order of the colored lines (top to bottom) is different between the two graphs.  Article Link: https://eds-s-ebscohost-com.ezproxy.snhu.edu/eds/detail/detail?vid=0&sid=8ea3e2ca-3260-49e6-bfa1-6ee0167880e2%40redis&bdata=JnNpdGU9ZWRzLWxpdmUmc2NvcGU9c2l0ZQ%3d%3d#AN=136803929&db=sih Textbook link: https://bncvirtual.com/vb_econtent.php?ACTION=econtent&FVENCKEY=AD9EE8D798DCAFC7E76B5FB7C978DD86&j=43766531&sfmc_sub=1597096465&l=23329524_HTML&u=695880241&mid=524003857&jb=40753&utm_term=10242022&utm_source=transactional&utm_medium=email&utm_campaign=Direct_Ebooks Textbook: Basic Biostatistics: Statistics for Public Health Practice, Chapter 13 and Chapter 17, section 3 (chi-squared tests) Chapter 13 will cover descriptive statistics, the problem of multiple comparisons, ANOVA, the equal variance assumption, and an introduction to rank-based tests. In section 3 of Chapter 17, you will learn about more complex comparing proportions. This resource supports module assignments rubric1.pdf

        Use the appropriate descriptive statistics from W2 Project or run new descriptive statistics for Recall1

        Use the appropriate descriptive statistics from W2 Project or run new descriptive statistics for Recall1

        Use the appropriate descriptive statistics from W2 Project or run new descriptive statistics for Recall1 using Microsoft Excel. Assuming that the sample statistics you computed are exactly equivalent to the corresponding population parameters, and using the formula X = (±z)(sd) + M (see below) identify the following: The exact score on Recall1 that would fall at the upper 5% cutoff (extremely high score?) (Be sure to use the formula given below and round to two decimal places) The exact score on Recall1 that would fall at the lower 5% cutoff (extremely low score?) (Be sure to use the formula given below and round to two decimal places) To find these hypothetical scores, solve for X (your raw score) using the following formula, and round to two decimal places: X = (±z)(sd) + M, where z = The z-score cutoff for 5 percent in the tail (±1.645) sd = Your sample standard deviation for Recall1 M = Your sample mean for Recall1 Use Microsoft Excel to compute z-scores for Recall1, following the instructions given in your lecture. Copy the table below into your Microsoft Word document, and complete the table, indicating the appropriate z-scores corresponding to each of the participants whose score is given. Subject ID Recall at Time 1 Z-score P5 8 P10 12 P15 10 P20 8 P25 9 Write a brief paragraph interpreting these z-scores (e.g., how each individual did in relation to the class in terms of the mean and standard deviation of the z-score distribution (not the raw score mean and SD) the percentile the participant would fall into).

        This problem set will involve activities designed to solidify the concepts learned in this module.

        This problem set will involve activities designed to solidify the concepts learned in this module.

        This problem set will involve activities designed to solidify the concepts learned in this module. Problems will be similar to those in Module Eight and will include one or two real-world applications to prepare you to think like a biostatistician.IHP525ModuleSixProblemSet.docx

        The aim of the experiment is to test the hypothesis that a daily dose of

        The aim of the experiment is to test the hypothesis that a daily dose of

        The aim of the experiment is to test the hypothesis that a daily dose of Symphadiol enhances weight loss in clinically obese individuals, compared with just using a calorie-controlled diet. It was decided to select men between the ages of 30 and 40 for the study. It was also decided to look at the impact of exercise in conjunction with Symphadiol. The intended population of this study are all healthy (other than their obesity) obese male individuals who are sufficiently motivated to lose weight to join a diet network. The individuals must not be taking any medication, except that required for minor ailments. In total 60 males were recruited between the ages of 30 and 40. Each participant was given a health check prior to the start of the study, their heights were recorded, and they received educational material and diet plans giving details of a calorie-restricted diet (2000 kcal), which they declared they would follow. All the men attended weekly diet networks where they received support and encouragement from their fellow dieters and the clinical trial specialist nurse. Those individuals following an exercise regime also attended a gym and completed the equivalent of 30 minutes cycling (16 km) three times per week. The 60 participants were distributed randomly to four experimental groups: group 1: calorie-controlled diet and placebo. group 2: calorie-controlled diet and Symphadiol. group 3: exercise regime, calorie-controlled diet and placebo. group 4: exercise regime, calorie-controlled diet and 35mg Symphadiol. In this example, objective was to test the hypothesis that a daily dose of Symphadiol enhances weight loss in clinically obese individuals, compared with just using a calorie-controlled diet. In the experiment described above the independent variable is the treatment group (either Symphadiol treated or control) the patients are assigned to, while the dependent variable is the weight loss. Weight loss is the variable that will be measured. Assignment 2 In the Symphadiol trial, select appropriate group of participants and write two null hypotheses.

        Review the ANOVA Exercises SPSS Output providedConsider the results presented in the

        Review the ANOVA Exercises SPSS Output providedConsider the results presented in the

        Review the ANOVA Exercises SPSS Output provided. Consider the results presented in the SPSS output and reflect on how you might interpret the results presented. How to interpret ANOVA results to determine differences. Assignment: (23 pages) Summarize your interpretation of the ANOVA statistics provided in the ANOVA Exercises SPSS Output document. Be sure to accurately evaluate each of the results presented (descriptives, ANOVA results, and multiple comparisons using post-hoc analysis) Note: Interpretation of the ANOVA output should include identification of the p-value to determine whether the differences between the group means are statistically significant. Please use scholarly journal within 5 years APA style .attachment_2.pdf

        Review the initial postings from at least two of your classmates.  Provide relevant comments or

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        Review the initial postings from at least two of your classmates.  Provide relevant comments or critique.  Do you agree with their conclusions?  Provide assistance if a student is struggling.  Please make sure to post a complete response of about a paragraph in length.6C41E189-31E8-4544-A4A5-65B473F28698.jpeg