Essay Available:
Pages:
1 page/β275 words
Sources:
1 Source
Style:
APA
Subject:
Management
Type:
Case Study
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
$ 4.86
Topic:
Oak Hollow Medical Evaluation Center
Case Study Instructions:
Questions* : 1. Given the information available and your knowledge of different forecasting techniques, recommend a specific forecasting technique for this study. Consider the advantages and disadvantages of your preferred technique, and identify what additional information, if any, Mr. Abel would need. 2. Develop forecasts for patient, staffing, and budget levels for next year. * You can make any assumptions that you think are needed to answer the above questions but be sure to state and justify your assumptions required to perform your analysis.
Case Study Sample Content Preview:
Oak Hollow Medical Evaluation Center Case Study
Student’s Name
Institutional Affiliation
Course Name and Number
Professor’s Name
Date
Oak Hollow Medical Evaluation Center Case Study
Question 1
The tables show that there has been an upward trend in the annual expense. Besides, table 2.3 exhibits varying demand for the different services across the different months. Therefore, simple exponential smoothing (SES) would be an appropriate forecasting technique for Oak Hollow Medical Evaluation Center. SES is suitable whenever there is no seasonal pattern or specific trend. The forecasting technique would assume that the monthly patient demand would be more or less the same as in the recent past. SES is advantageous because it is simple to learn and apply. After all, the analyst needs to only consider small volumes of data. Moreover, SES provides more importance to the recent observations. On the other hand, the forecasting technique may be disadvantageous because of the lag between the actual demand and the forecast demand (Ostertagova & Ostertag, 2012). This is because the method does not consider the random variation factors. Secondly, SES cannot effectively handle trends because it is primarily used to predict in the short term. Thus, cyclical and seasonal variations could make the forecasts inaccurate. Nevertheless, Mr. Abel needs to provide additional information like reasons for decreasing demand for particular services. Also, he needs to explain how competitive services influence the expense and demand trends.
Question 2
The patients, expenses, and staff forecasts are done based on alpha 0.1.
Patient Forecast
Year
2018
2019
2020
2021
2022
2023
Physical
390
468
509
490
582
390
398
409
417
433
S&H
102
124
180
148
204
102
104.2
111.78
115.402
124.2618
Psych
168
312
376
386
437
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