CDR Sample For Industrial Engineer

CDR Report Samples Approved By Engineers Australia

Download the free CDR report samples written by our professional experts according to the Migration Skill Assessment guidelines.

    Free CDR Samples

    Industrial Engineer ANZSCO 233511

    CDR Sample for Industrial Engineer

    CDR sample for Industrial Engineer

    CDR Sample: Industrial Engineer ANZSCO Code: 233511

    The CDR Sample for Industrial Engineers includes all the necessary reports, such as Three Career Episodes, Continuing Professional Development Writing, and a Curriculum Vitae Summary Statement. The Content of the CDR Report Sample is as follows:

    • Curriculum Vitae: Resume based on a professional template.
    • Continuing Professional Development Sample: The CPD Sample clearly explains the author’s engineering knowledge (200 words).
    • Industrial Engineer Career Episode Sample 1: “Facility design to accommodate production using VIP-PLANOPT” (1700 words).
    • Industrial Engineer Career Episode Sample 2: “Project Life Cycle Trajectories Prediction” (1600 words).
    • Industrial Engineer Career Episode Sample 3: “Statistical Forecasting and Time Series” (2600 words).
    • Industrial Engineer Summary Statement Sample: A detailed explanation of all the competency elements (2500 words).

    The CDR Sample for Industrial Engineers incorporates all the required reports, such as a Resume or Curriculum vitae (CV), Continuing Professional Development(CPD), 3 Career Episodes(CE), and a Summary Statement. The CDR Report Samples contain the following contents:

    An excellent resume or CV for Engineers Australia Assessment depends on a professional template.

    The CPD for Engineers Australia Migration Skills Assessment illuminates the engineering knowledge of the applicant. It should be around 250 words. The documents show how the applicant has developed their career to the point that they need to be assessed by Engineers Australia for Skill Assessment in the desirable engineering occupation.

    Engineers must submit 3 career episodes reflecting their work during their study or work.

    Industrial Engineer Career Episode Report: Sample 1

    Project Name: Facility design to accommodate production using VIP-PLANOPT

    In the first Career Episode, the author describes the project he performed during the completion of his undergraduate coursework. The project was entitled  “Facility Design to accommodate production using the VIP-PLANOPT”. The major tasks he performed on this project are listed below:

    Generate alternative layout based on total flow cost and select the best approach
    Analyze selected layout by calculating the pairwise distance and corresponding flow costs
    Compare process-based approach and family-based approach based on their pros and cons
    Compute required material handling devices number
    Optimize the operating cost of the new facility
    Implement methods in order to increase the efficiency of the newly designed facility

    Industrial Engineer Career Episode Report: Sample 2

    Project Name: Product Life Cycle Trajectories Prediction

    In the second Career Episode, the author discusses the project entitled “Product Life Cycle Trajectories Prediction,” which he performed during his bachelor’s studies. The major tasks performed by the author in this project are as follows:

    Complete Literature Review of the project
    Non-parametric time series modeling of the data using clustering methodology
    Analyze the data using descriptive factors
    Finding the common features of each cluster
    Formulate rules regarding sales trend using decision tree approach

    Industrial Engineer Career Episode Report: Sample 3

    Project Name: Statistical Forecasting and Time Series

    In the third Career Episode, the author discusses the project entitled “Statistical Forecasting and Time Series” in which he was involved during his undergraduate program.  The key responsibilities of the author were:

    To plot the diesel and gasoline sales data
    To observe general sales behavior
    To analyze the data using forecasting with regression method
    To write R code for the execution of various methods
    To plot graph for different models for analysis
    To compare the analysis results and choose the most suitable model

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