Stanislav Hosnedl

Introduction to design engineering : systematic creativity and management

SUBJECT OF DESIGN ENGINEERING Context of Design Engineering Humans as Designers Products Information THEORIES OF SYSTEMS AND DESIGN ENGINEERING Systems and Science Transformations, Transformation System, Transformation Process Technical Systems Design System Design Situation METHOD - APPLICATIONS OF SYSTEMS AND DESIGN ENGINEERING Problem Solving Design Processes Operating Instructions Case Examples SUPPORT FOR DESIGN ENGINEERING Design Principles Design Methods Information Support Technical Systems Support Management REFERENCES

Rationalising the Use of Design for Assembly as DfX Knowledge to Increase Competitiveness of Designed Technical Products

Interdisciplinary Design for X knowledge and methods belong among powerful methodological ways for increasing effectiveness and efficiency of engineering design processes and consequently the competitiveness of the designed technical products. The letter X mostly indicates a specific property of technical products or more often their professionally related set. Such sets of knowledge and methods are then accordingly called for example: Design for Cost, Design for Assembly, Design for Safety etc. It is generally known that there are a lot of such DfX sets developed spontaneously including their names. A rational concept of a systematic taxonomy for DfX knowledge and methods is introduced in the paper. The core of this paper is focused on the general principles of DfX taxonomy and methodology applied on the Design for Assembly (DfA) field. This methodology is focused on reducing cost for assembly and curtailment assembly time of designed technical product while keeping its delivered quality. Validation of the introduced DfA methodology is presented on cases from industrial praxis.

Innovation of Methodological Support of Risk Analyses of Technical Products in Their Life Cycle During Their Designing

Concept of enhanced methodological support of risk analyses of technical products looked upon technical systems (TS) in the context of their Life Cycle (LC) is described in this paper. Within the methodological framework for innovation of risk analyses well proven method FMEA was used. The mentioned innovation of methodology consists of increasing of its complexity, systematic and also of increasing of its flexibility by application of key knowledge of Engineering Design Science, mainly from the Theory of Technical systems (TTS). The proposed methodology was verified and validated on specific example from industrial practice.

Interdisciplinary Innovation of EDI Module Case Using ‘Design for X’ and ‘Prediction of X’ Knowledge and Methods System Based on TTS

Practising engineering designers in general ‘do not like’ systematic approaches to designing, because of their ‘rigidity’, which they find to be incompatible with their own experience and creativity. On the other hand they need more and more specialized advanced knowledge and tools of external researchers who are however usually not familiar with the company specific products, knowledge and experience. We would like to outline how this situation can be enhanced with use of the “system map” of Engineering Design Science (EDS) knowledge and methods based on the Theory of Technical Systems (TTS). This paper is especially focused on use of ‘Design for X’ (DfX) and ‘Prediction of X’ (PoX) knowledge and methods where X usually means a TS property class, subclass, sub-subclass or a property respectively.

Interdisciplinary Engineering Design Projects in Cooperation with Industrial Partners

Illustrative results of a number of student interdisciplinary team innovative design projects performed by engineering and industrial designers, and consulted by specialized experts are introduced in this paper. Projects have been managed and solved using the “Knowledge integrated design” (KID) comprehensive approach different from the ‘Theory based approaches’ like “Axiomatic Design” and/or “Theory of Technical Systems based Design”, as well as from traditional “Instructive”, “Intuitive”, and/or “Trial and Error/Success” prevailing approaches used for design problem solving. The mentioned KID strategy stems from a systematic ‘map’ of descriptive and prescriptive “Engineering Design Science” (EDS) knowledge obtained both from theory and practice. Projects being solved by students and staff of University of West Bohemia were assigned, consulted and co-evaluated in cooperation with industrial partners from Czech Republic and abroad. Real design projects were analogously managed and solved for industrial and institutional partners like Linet s.r.o., MemBrain s.r.o., Autodesk ltd., etc.