Reference no: EM133299634
Question: You, the Production Manager of Kibby and Strand, the company in the scenario.
The CEO is thinking of expanding Kibby and Strand, and you are tasked to create data collection plan and measurement criteria for how production output and product quality will be measured. In addition, the HR manager asks for a list of qualifications and skill sets required for additional staff to operate and maintain new equipment planned for the expansion. Create job ad to include qualifications and desired skill sets.
Create the data collection plan, measurement criteria, and job qualifications list.
The key things you want in this type of plan are the data items to be collected, what they measure operationally, frequency of collection, method of collection, and who collects them. Your plan should include high, medium, and detailed level data metrics to be collected. Include 4-5 data metrics from each of the three departments that demonstrate you understand the different levels of metrics. You do not have to populate the metric with fake or made-up data.
An example of a detailed metric is utilization of an individual machine, while utilization of all machines in a department is considered a medium level metric. A high-level metric would be throughput of the departments, such as the number of orders produced for the week.
Avoid collecting raw data numbers such as the number of items because raw counts do not provide much information to make decisions. It is better to use percentages, ratios, averages, etc. when provide context for the data.