The recent advances in information and communication technology (ICT) has promoted the evolution of conventional computer-aided manufacturing industry to smart data-driven manufacturing. Data analytics in manufacturing data can provide insights into cost savings and efficiencies, but it can also result in research challenges due to many reasons. You can address Big Data in support of manufacturing, but any use of data science is acceptable. You will see the term “smart manufacturing” often applied to this area of research.
For this assignment, you are required to research the benefits as well as the challenges associated with Data Science in support of a manufacturing process. You can choose any type of product, so please try to focus on a single type of product, not manufacturing in general. Examples could be automobiles, aircraft, computers, smart phones, heavy equipment, ships.
Your paper should meet these requirements:
Be approximately four to six pages in length, not including the required cover page and reference page.
Follow APA 7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
Support your answers with the readings from the course and at least two scholarly journal articles to support your positions, claims, and observations. The UC Library is a great place to find resources.
Be clearly and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.
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