Do Not Optimize, Solve The Problem Development Of Critical Thinking Skills In Dfm Small Projects
Author(s) -
Zbigniew Prusak
Publication year - 2020
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--12213
Subject(s) - computer science , design for manufacturability , process (computing) , new product development , class (philosophy) , management science , session (web analytics) , product (mathematics) , work in process , engineering management , engineering , artificial intelligence , operations management , mathematics , mechanical engineering , geometry , marketing , world wide web , business , operating system
This paper describes activities, requirements and assessment techniques used in small projects in Design for Manufacturing course. The projects are assigned to teams of 3 to 7 students, and the vast majority of work is done in class under specific time constraints. The team size and time constraints for each problem on hand try to imitate real work environment of time-constrained meetings that must end with producing solutions. Successful realization of the projects requires knowledge of wide range of physical, chemical, and to some extend, biological effects. A strong emphasis is put on process of defining goals and objectives, and critical description of present state of design or process, including product liability. A particular emphasis however is put on knowledge of scientific principles which may provide idealistic solutions to the problem at hand. Knowledge of engineering principles of problem solving and evaluation of possible solutions is emphasized in activities related to closing of each project. Results of up to date projects point at several perennial problems, such as: formulation of engineering contradictions and solving them, development of metrics as well as choice of tools and procedures to evaluate final solutions. These problems were observed in almost all students and groups. The process of formulating and solving engineering contradictions proved to be the one requiring most guidance on part of course instructor. Some in-class exercises designed to improve student’s ability in defining core of engineering problem are described in the paper. Intentionally, computational skills are not emphasized in the projects. Solutions aiming at optimization of the present design are forbidden. Some proven approaches to enhance group outputs are also described in the paper.
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