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Assignment 1 - IIo T (230826)

Iiot assignment and description
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QUALITY, STRATEGY AND VALUE CREATION (QUAL8000)

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Topics In Quality Project (2023 08 Release) Assignment 1: Industrial IoT / Process Data for Quality Assurance The Industrial Internet of Things (IIoT) enables companies to imagine “what new data would be useful for us to have?” For Quality professionals, IIoT or digitally connected devices can be used to proactively improve process quality by monitoring more of the process inputs that are critical to quality. For this assignment, imagine you are a Quality Assurance specialist working for some commercial/industrial manufacturing company. Based on an industry process of your choice, explore the use of IIoT and answer the questions below. 1. Describe the specific product and process you have chosen. (5% - real and specific manufacturing process, good choice for IIoT with clear QA benefit to product quality using additional IIoT sensors. Not an existing IIoT project/application.) a. What process have you chosen? Focus on 1 specific manufacturing process – like the paint mixing process discussed in class. (Eg; welding of car body frame, soldering of cables, milling of metal casting, pasteurizing of milk, riveting of jet wing, etc) – not the entire car assembly or the entire milk production process – just 1 specific process. Include a photo/screenshot or process diagram to illustrate the process (which can be copied from an on-line source, just be sure to provide the link - see important note below.) b. Why you have chosen this process. What is your current knowledge of this process (eg; have work experience, have studied, no personal experience, etc). What is the basis of your choice of process - are you solving a known problem with the process? (It is ok if not – just explain your choice.)

  1. (5%) The quality of any process output is dependant on the quality of the process inputs. Identify 4 process INPUTS that would likely impact the quality of your chosen process OUTPUT but are not traditionally measured. In Six Sigma practice, we represent this with the model Y = f(x1, x2, x3, xn) where Y is a measurable OUPUT CTQ (some important measure of the finished products quality) and x1, x2, x3, etc are controllable process INPUTS (variables that affect the quality of the process itself) For our cake baking example, we identified CTQ INPUTS like butter temperature, weight of the flour being used, mixing time of the batter, and air temperature outside the oven. Notice that these are INPUTS that need to be controlled in order to assure a good quality OUTPUT (cake). In our paint mixer example, flow volume of paint coming into the tank (for proper mix ratio) and the flow of paint inside the tank when the mixing blade is turning are CTQ INPUTS. Do NOT describe inputs that are CURRENTLY monitored. In our cake baking example, we can assume the oven temperature and time in the oven are already being monitored. The point is to identify a potential process improvement by ADDING new sensors to generate and store useful process quality data. This is how industry is adopting I4 and what a future employer will pay for! a. List your 4 proposed Process Inputs (be specific. For example; “Welding Torch Angle, measured in degrees from workpiece plane” b. Briefly explain why each is important to the quality of the process. ( or 2 short sentences each to explain how each input impacts the process quality). Make sure to select process inputs (weld torch angle, surface cleanliness) not outputs (weld strength, paint adhesion. With IIoT we can be proactive! ** Do NOT pick trivial inputs, like “time” – you don’t need IoT for this, or variables that are almost certainly already being measured, like oven/furnace temperature. Do NOT make your entire solution

process them, and send them to a connected network for recording, live monitoring, and analysis. c. Compare the sensor spec to your process requirement. Would this sensor be a good choice for your chosen process? Would it work in this environment? Does it have the needed range to monitor your process? It is ok if you cannot find a perfect match – just show that you understand what would be needed and if the chosen sensor could work or not. Do NOT just copy and paste the spec sheet! That is not an analysis. Imagine you are making this proposal for your boss at work. Would you recommend each sensor for the project? Important:

  1. Do NOT try to answer this by finding a prepared solution on-line. If any part of your assignment is derived from someone else’s work, you will get zero for the Academic offense. The entire point is to get you thinking about practical applications for IIoT in your chosen/future industry. This is what your future boss will appreciate and pay you to develop!
  2. You will likely need to refer to information on-line about the sensors you choose. This is normal, but - Marks will be deducted if I cannot tell what content was written by you and what content was collected from the internet. Submitting someone else’s work as your own is an academic violation and may result in zero on the assignment. Protect yourself using citations! That means:  Put any text or information you have copied or paraphrased in ITALICS followed by a reference number or APA citation after it. This way, the reader (your prof) knows what content is from another source. Everything else should be your own writing. For example: “Academic evaluation must be representative of the knowledge and skill level achieved by a learner...” (Conestoga College, Academic Integrity Policy, 2007).  List your sources at the end of your paper. Include the name of the source as well as the URL. Make sure your URL works by clicking it and confirming yourself.

 Failure to follow Conestoga’s Academic Integrity policy will result in significant penalty. Please avoid this by using italics for anything you didn’t write!!!

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Assignment 1 - IIo T (230826)

Course: QUALITY, STRATEGY AND VALUE CREATION (QUAL8000)

133 Documents
Students shared 133 documents in this course

University: Conestoga College

Was this document helpful?
Topics In Quality Project
(2023 08 Release)
Assignment 1: Industrial IoT / Process Data for Quality Assurance
The Industrial Internet of Things (IIoT) enables companies to imagine “what new
data would be useful for us to have?” For Quality professionals, IIoT or digitally
connected devices can be used to proactively improve process quality by
monitoring more of the process inputs that are critical to quality.
For this assignment, imagine you are a Quality Assurance specialist working for
some commercial/industrial manufacturing company.
Based on an industry process of your choice, explore the use of IIoT and answer
the questions below.
1. Describe the specific product and process you have chosen.
(5% - real and specific manufacturing process, good choice for IIoT with
clear QA benefit to product quality using additional IIoT sensors. Not an
existing IIoT project/application.)
a. What process have you chosen?
Focus on 1 specific manufacturing process – like the paint mixing
process discussed in class. (Eg; welding of car body frame, soldering
of cables, milling of metal casting, pasteurizing of milk, riveting of jet
wing, etc) – not the entire car assembly or the entire milk
production process – just 1 specific process. Include a
photo/screenshot or process diagram to illustrate the process (which
can be copied from an on-line source, just be sure to provide the link
– see important note below.)
b. Why you have chosen this process.
What is your current knowledge of this process (eg; have work
experience, have studied, no personal experience, etc). What is the
basis of your choice of process - are you solving a known problem
with the process? (It is ok if not – just explain your choice.)