An original design approach for stimulating the ideation of new product features

2016 ◽  
Vol 75 ◽  
pp. 80-100 ◽  
Author(s):  
Daniele Bacciotti ◽  
Yuri Borgianni ◽  
Federico Rotini
2001 ◽  
Vol 18 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Jurg M. Tholkea ◽  
Erik Jan Hultinkaa* ◽  
Henry S. J. Robbenbb

Author(s):  
Tarık Şahin ◽  
David Inkermann ◽  
Thomas Vietor

Abstract Product development is experiencing a paradigm shift under the impact of highly segmented and rapidly evolving markets. The intention to offer successful products in such turbulent conditions forces companies to provide value comprehensively but rapidly. These attempts conceal a high risk of rising product complexities and development efforts. For this reason, the aim of design should be to maintain or improve value contribution according to customer and market demands with fast response time while reducing internal product disruption and development efforts. A proactive planning of continuous value contribution by introducing new product features, while considering the complexity of product structures and corresponding development efforts, is established in the field of release planning. Here, systematic ways are proposed to support the identification and timing of product features to provide value for customers and markets as well as the consideration and planning of according efforts for their realization. However, the literature highlights a need for more consistent value orientation in release planning. For this reason, this contribution aims to present an outline and further steps for consistent value orientation in release planning in the context of systems engineering. Accordingly, this contribution first discusses the significance of consistent value orientation during release planning activities. On this basis, requirements for consistent value orientation in release planning are presented and the respective current state of existing concepts are discussed. Ultimately, a framework towards consistent value orientation in release planning is presented with a concluding outlook for further research.


2020 ◽  
Vol 18 (5) ◽  
pp. 1139-1151
Author(s):  
Jørgen Blindheim ◽  
Christer W. Elverum ◽  
Torgeir Welo ◽  
Martin Steinert

Purpose This paper proposes the combination of rapid prototyping and physical modelling as a set-based concept evaluation method in the early stage of new product development. Design/methodology/approach The concept evaluation method is applied in a case study of a new metal additive manufacturing process for aluminium, where a set of four extruder concepts has been modelled and evaluated. Rapid prototyping was used to produce plastic models of the different designs, and plasticine feedstock material was used to physically model the metal flow during operation. Finally, the selected concept has been verified in full-scale for processing of aluminium feedstock material. Findings The proposed method led to several valuable insights on critical factors that were unknown at the outset of the development project. Overall, these insights enabled concept exploration and concept selection that led to a substantially better solution than the original design. Research limitations/implications This method can be applied for other projects where numerical approaches are not applicable or capable, and where the costs or time required for producing full-scale prototypes are high. Practical implications Employing this method can enable a more thorough exploration of the design space, allowing new solutions to be discovered. Originality/value The proposed method allows a design team to test and evaluate multiple concepts at lower cost and time than what is usually required to produce full-scale prototypes. It is, therefore, concluded to be a valuable design strategy for the early development stages of complex products or technologies.


Author(s):  
Raul Bosco ◽  
Ricardo Alexandre Maciel ◽  
Miguel Mattar Neto ◽  
Carlos Alexandre J. Miranda

In the design of compressors running with high pressure refrigerants, safety aspects must be a mandatory concern. Moreover, when dealing with high pressure levels, compressor components have their original design adapted to withstand such a high pressures, particularly acoustical mufflers, external housing, and compression mechanism. Regarding the external housing, the design approach goes beyond acoustical and aesthetics features as mostly observed in current refrigerating compressors. In order to safety enclose the compression mechanism the application of a proper design methodology is mandatory to safeguard the structural integrity of both the compressor external housing and the whole refrigerating system. Looking for acceptable, cost effective safety factors, a simultaneous design approach including advanced structural mechanics techniques, experimentation, safety Codes revision, and Computer Aided Engineering (CAE) tools application is mandatory. The aim of this work is to present a new development approach, concerning structural design of a compressor housing used in high pressure refrigeration system. Numerical and experimental results will be compared among each other aiming to evaluate some ASME Codes criteria and design procedures.


2019 ◽  
Vol 27 (3) ◽  
pp. 213-232 ◽  
Author(s):  
Zhicong Kou

An effective data mining method to automatically extract association rules between manufacturing capabilities and product features from the available historical data is essential for efficient and cost-effective product development and production. This article proposes a chaotic gravitational search algorithm–based association rule mining method for discovering the hidden relationship between manufacturing system capabilities and product features. The extracted rules would be utilized to predict capability requirements of various machines for the new product with different features. We use two strategies to incorporate chaos into gravitational search algorithm: one strategy is to embed chaotic map functions into the gravitational constant of gravitational search algorithm; the other is to use sequences generated by chaotic maps to substitute random numbers for different parameters of gravitational search algorithm. In order to improve the applicability of chaotic gravitational search algorithm–based association rule mining, a novel overlapping measure indication is further proposed to eliminate those unuseful rules. The proposed method is relatively simple and easy to implement. The rules generated by chaotic gravitational search algorithm–based association rule mining are accurate, interesting, and comprehensible to the user. The performance comparison indicates that chaotic gravitational search algorithm–based association rule mining outperforms other regular methods (e.g. Apriori) for association rule mining. The experimental results illustrate that chaotic gravitational search algorithm–based association rule mining is capable of discovering important association rules between manufacturing system capabilities and product features. This will help support planners and engineers for the new product design and manufacturing.


Author(s):  
Karina Cecilia Arredondo-Soto ◽  
Rosa María Reyes-Martínez ◽  
Jaime Sánchez-Leal ◽  
Jorge De la Riva Rodríguez

This chapter discusses the definitions of environmental design, design for remanufacturing (DfR), as well as a case study to demonstrate the convergent point between these topics. Many products that are currently remanufactured were not designed with this objective, generating a complicated process that requires that the manufacturing engineers develop in a corrective way, modifications in the original design of the products related to its components and the process. The case study analyzes a product that was not originally designed as remanufacturable. The decision was made to develop a reconstruction process that fulfilled the characteristics of remanufacturing. Finally, in applying the DfR, it was possible to expedite the remanufacturing so that material planners do not fear to run out of good parts and have to order the purchase of new product, decrease the use of assembly details that are purchased at a high price, and thus save on the cost of remanufacturing. Analyzing this case and applying DfR implied a savings of 37% compared to the initial process that did not apply this tool.


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