Engineering Problem Solving: Learning and Practice

Author(s):  
Zbigniew M. Bzymek

The Engineering Problem Solving process has two aspects. It relies on the talent of the designer on the one hand and the efficiency of the problem solving tools on the other. Talent is an attribute of a person. It is very difficult to formalize the talent of an individual, and no satisfactory formalization has been achieved successfully. For this reason only the original designer’s talent and his/her knowledge and experience are available for use during the problem solving process. However, there are several choices and decisions that can be made concerning methods, algorithms, and software packages. After those choices are made the next steps in the problem solving process can be outlined. The problem solving method described in this paper is called a Brief Theory of Inventive Problem Solving (BTIPS) and was developed on the basis of TRIZ (Russian: теория решения изобретательских задач, teoriya resheniya izobretatelskikh zadatch) and TIPS (Theory of Inventive Problem Solving) and taught at the University of Connecticut (UConn). The application of this method starts with the accurate definition of the problem. The problem has to be properly separated from the environment. Further problem solving choices depend on the knowledge of the designer and include the right sequence of steps, definition of contradictions, choice of solution modules, algorithms, definition of designed systems and subsystems, and choice of elements and objects. There are several further paths to be selected and resulting decisions to be made. Those decisions and the processes following them are described in this paper. The recommendations for the proper path are given and the procedures are discussed. The derivation of the Ideal Solution is described and tests of the solution’s effectiveness and economy are given. The experience gained from teaching one Mechanical Engineering course, three MEM (Management Engineering for Manufacturing) courses at UConn, one graduate course at UConn, one graduate course at the University of Fairfield, and several special non-academic courses for practicing engineers is summarized. Some students’ opinions are analyzed and recommendations for further education and the practice of engineering problem solving are derived. The references to the existing teaching, research, practice, and development studies are quoted. This paper is devoted to the characteristics of BTIPS method. The companion paper [1] is devoted to the characteristics of the software that could be used with the method. TIPS (the Theory of Inventive Problem Solving) is a further development of Altshuller’s theory done by Invention Machine under the leadership of Valery Tsourikov [2]. BTIPS (Brief Theory of Inventive Problem Solving) is a simplified version of TIPS developed at the University of Connecticut (UConn) especially for teaching purposes, though it is also powerful when applied to engineering practice problems [3].

Author(s):  
Norasyikin Omar ◽  
◽  
Mimi Mohaffyza Mohamad ◽  
Marina Ibrahim Mukhtar ◽  
Aini Nazura Paimin ◽  
...  

Author(s):  
Andrea Gaynor ◽  
Greg Crebbin

At present, in many societies, engineers play a significant role in solving problems of energy, transport, accommodation and production; but similar problems have been solved through technical and non-technical means for thousands of years. Numerous historical examples therefore exist, in which the ends of different approaches to problem-solving are apparent: some tending to produce socially and/or ecologically sustainable outcomes, and some less positive. Historians do not simply narrate the past, they explain and interpret changes and continuities by paying attention to larger issues of, for example, class, gender, polity and economy. Such historical narratives, we argue, may have a useful role to play in efforts to shift the perspective of engineering students away from a narrow focus on complex technical solutions, towards the broader context in which their problem-solving will take place. This ability to assess the relationships between engineering problem-solving and the broader social and environmental context is critical to the development of a more sustainable and socially-just engineering practice.


Author(s):  
Mohamed E. M. El-Sayed ◽  
Jacqueline A. J. El-Sayed

Problem solving is one of the main activities in achieving design and research goal. While problem solving in general is an activity aiming at transforming unacceptable state of reality to acceptable state of reality, problem solving in engineering is usually a means for tackling other activities such as design and research. By breaking down design and research into a set of engineering problem solving activities, the goals of complicated design and research projects can be achieved. For this reason, the transitions from design or research to problem solving in some cases are unidentifiable. The identification of the problem solving activity goals and the transition between the three activities, however, are essentials for creativity and achieving the desired objectives especially when dealing with conflicting objectives and constraints. In this paper, design, research, and problem solving are distinguished as realization activities performed in different reality domains with different beginning and ending states. These three activities use modeling and simulation as basic elements of mapping between realities to perform analysis and integration. While analysis and simulation are mainly the analytical actions, modeling and integration are mainly the creative actions. With these distinctions, the identification of problem solving activity goals, and transitions between activities, can be easily realized. Also, creativity and dealing with conflicting objectives can be greatly facilitated. To demonstrate these concepts and their implications some illustrative examples are discussed.


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