Special Topics in IE: Digital Manufacturing (IE 48005)

2019 Spring
Faculty of Engineering and Natural Sciences
Industrial Engineering(IE)
3
6
Emre Özlü eozlu@sabanciuniv.edu,
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English
Undergraduate
IE309 MS309
Interactive lecture,Studio work/practice
Interactive,Learner centered,Simulation
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CONTENT

This course is designed for students who are interested in digitalization in manufacturing environment. It provides a background starting from the digitalization at shop floor level to the analysis of the gathered data to support decision making process. In the first lectures, the methods and hardware for data collection are covered. Labview is used for practical demonstrations and applications. The necessary calculations for conversion of the analog signal to digital signal are taught. After these basics, the evolution of the manufacturing science is reviewed and the link with the digitization is defined. As a next step, several digitalization methods are covered under the Digital Twin topic. Finally, digital transformation is reviewed from a more general perspective. The topics covered during the course will be applied through a term project. The students will make two presentations; one for reporting their progress and one for their final report they will submit.

OBJECTIVE

The overall objective of this course is to introduce the basics of digitalization and applications in manufacturing. The students will gain knowledge on the basics of analog to digital conversion, sensors and data acquisition, digital twins and data integration in manufacturing environment. They will also gain ability to collect and analyse data and further use it to predict several decision parameters at the most basic level.

LEARNING OUTCOMES

  • Students will understand the basic of digitization, the differences of digitalization and applications in manufacturing environment.
  • Students will demonstrate the ability to evaluate and integrate the digitalization approaches with the manufacturing system and process models through digital twin approaches.
  • Students will gain ability to evaluate and apply basic sensor application, data acquisition techniques and their relationship with the manufacturing environment.
  • Students will gain ability to discuss and further investigate the impact of digital transformation, smartness, cognition, digital twin and data acquisition on the manufacturing systems.
  • Students will gain ability to use Labview coding and applications on how to create, analyze and optimize a manufacturing facility.

ASSESSMENT METHODS and CRITERIA

  Percentage (%)
Final 40
Quiz 30
Presentation 30

RECOMENDED or REQUIRED READINGS

Readings

Several journal papers that will be supplied through out the semester.