Operations Management OMGT1039 RMIT 代写

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    • Operations Management OMGT1039 RMIT 代写

    Operations Management
    Assignment 1, 20% Marks, Due date: 4th Sep 2017 at 5:00pm Melbourne time.
    1 | P a g e
    Please submit just one Microsoft Word file. You may copy and paste from
    Excel into your Word file
    1. ZenoFex Case Study (total 10 marks for this case study)
    The ZenoFex is a manufacturer of electronic parts used in telecommunication industry. The
    demand for a special semiconductor produced in this firm in last 11 periods is given in Table
    1.
    Table 1 Semiconductor Demand in last 11 periods
    Period  Semiconductor
    1  40
    2  39
    3  55
    4  88
    5  51
    6  54
    7  66
    8  63
    9  57
    10  68
    11  77

    Operations Management OMGT1039 RMIT 代写
    Among the following three forecasting methods, which method should be used to forecast
    the demand for this product? Why?
    -  Simple moving average n = 3
    -  Exponential Smoothing with alpha = 0.4
    -  Exponential Smoothing with trend Adjustment (alpha = 0.2, beta = 0.4, T1 = 5, F1
    = 49)
    Note:
    -  Please show all calculation with two decimal points
    -  Show the graphs and explain the steps
    Operations Management
    Assignment 1, 20% Marks, Due date: 4th Sep 2017 at 5:00pm Melbourne time.
    2 | P a g e
    2. FORTech Inc. Case Study, ( total 10 marks for this case study)
    FORTech Inc, was about to launch a new product. Production Manager Jane Richardson
    asked her assistant, Scott, to check the capability of the oven used in the process. Scott
    obtained 18 random samples of 17 pieces each. The results of those samples are shown in
    the file ‘assignment 1 dataset.xlsx’ worksheet 1 (see the Blackboard).
    After he analyzed the data, he concluded that the process was not capable based on a
    specification width of 1.44 cm. Jane was quite disappointed when she heard this. She had
    hoped that with the introduction of the new product her operation could run close to full
    capacity and regain some of its lost. The company had a freeze on capital expenditures of
    more than $10,000, and a replacement oven would cost many times that amount. Scott
    worked with the oven crew to see if perhaps different settings could produce the desired
    results, but they were unable to achieve any meaningful improvements.
    Still not ready to concede, Jane contacted one of her former professors and explained the
    problem. The professor suggested obtaining another set of samples, this time using a
    smaller sample size and taking more samples. Jane then conferred with Scott and they
    agreed that he would take 27 samples of four observations each. The results of those
    samples are shown in the file ‘assignment 1 dataset.xlsx’ worksheet 2 (see the
    Blackboard).
    Questions (each questions 2.5 marks, total 10 marks for this case study)
    Consider the following questions, and then write a brief report to Jane summarizing your
    findings.
    1. How did Scott conclude that the process was not capable based on his first set of
    samples? (Hint: Estimate the process standard deviation, ?,????? ? ? ?
    ? ≈ 3
    ?
    √?
    )
    2. Does the second set of samples show anything that the first set didn’t? Explain what and
    why.
    3. Assuming the problem can be found and corrected, what impact do you think this would
    have on the capability of the process? Compute the potential process capability using the
    second data set.
    4. If small samples can reveal something that large samples might not, why not just take
    small samples in every situation?
    Operations Management OMGT1039 RMIT 代写