scholarly journals Roles of Design Processes Models as Didactic Materials

Author(s):  
Úrsula BRAVO ◽  
Erik BOHEMIA

We argue that visual representations of design processes contribute toward social and material practices of design(ing). They are used as didactic devices. We will discuss them using metaphors to illustrate that they are active material devices of which circulation, production and consumption are informed and informing perceived complexities, ambiguities and paradoxes associated with design. We propose a follow-up study to investigate how teachers and designers use and interpret visual design process models. The reason is to identify how these models are informing what design is as we are interested to understand how these models are contributing to the development of Design Literacies.

Author(s):  
Úrsula Bravo ◽  
Erik Bohemia

We argue that visual representations of design processes contribute toward social and material practices of design(ing). They are used as didactic devices. We will discuss them using metaphors to illustrate that they are active material devices of which circulation, production and consumption are informed and informing perceived complexities, ambiguities and paradoxes associated with design. We propose a follow-up study to investigate how teachers and designers use and interpret visual design process models. The reason is to identify how these models are informing what design is as we are interested to understand how these models are contributing to the development of Design Literacies.


2012 ◽  
pp. 1613-1637
Author(s):  
William Stuart Miller ◽  
Joshua D. Summers

A new design process modeling approach focused on the information flow through design tools is discussed in this chapter. This approach is applied to three long term mechanical engineering design projects spanning 24 months, 12 months, and 4 months. These projects are used to explore the development of the new modeling approach. This is a first step in a broader effort in 1) modeling of design processes, 2) establishing case study research as a formal approach to design research, and 3) developing new design process tools. The ability of engineers to understand the dynamic nature of information throughout the design processes is critical to their ability to complete these tasks. Such understanding promotes learning and further exploration of the design process allowing the improvement of process models, the establishment of new research approaches, and the development of new tools. Thus, enhancing this understanding is the goal of this research effort.


2021 ◽  
Vol 1 ◽  
pp. 791-800
Author(s):  
Jakob Trauer ◽  
Ferdinand Wöhr ◽  
Claudia Eckert ◽  
Udo Kannengiesser ◽  
Sjoerd Knippenberg ◽  
...  

AbstractProcess models are among the principal artefacts used for managing design projects. However, the selection of effective modelling approaches can be difficult for design project managers, given that a plethora of tools exists for various modelling purposes. In addition to date no systematic approach for the assessment and selection of process modelling approaches is available to practitioners. This paper presents the development of criteria for benchmarking and selecting different process modelling tools. The results are based on three elements. (1) In a four-hour workshop undertaken by the Design Process SIG of the Design Society, bringing together around 20 international researchers and practitioners in design process modelling, an initial set of 58 criteria were brainstormed and consolidated during the workshop and in follow-up meetings. (2) The consolidated criteria were then compared with literature. The finalised criteria list was then validated by external experts in industry (3). The resulting list of 12 criteria provides a sound basis for practitioners to support a systematic selection of process modelling approaches. Further, it lays the foundation of a benchmarking tool, which is subject to future work.


2019 ◽  
Vol 31 (1) ◽  
pp. 83-102
Author(s):  
Martin Stacey ◽  
Claudia Eckert ◽  
Rafaela Hillerbrand

Abstract Design process models have a complex and changing relationship to the processes they model, and mean different things to different people in different situations. Participants in design processes need to understand each other’s perspectives and agree on what the models mean. The paper draws on philosophy of science to argue that understanding a design process model can be seen as an imagination game governed by agreed rules, to envisage what would be true about the world if the model were correct. The rules depend on the syntax and content of the model, on the task the model is used for, and on what the users see the model as being. The paper outlines twelve alternative conceptualizations of design process models—frames, pathways, positions, proclamations, projections, predictions, propositions, prophecies, requests, demands, proposals, promises—and discusses when they fit situations that stakeholders in design processes can be in. Articulating how process models are conceptualised can both help to understand how process management works and help to resolve communication problems in industrial practice.


2005 ◽  
Vol 26 (4) ◽  
pp. 325-357 ◽  
Author(s):  
Cynthia J. Atman ◽  
Monica E. Cardella ◽  
Jennifer Turns ◽  
Robin Adams

1970 ◽  
Vol 1 (2) ◽  
pp. 95-128
Author(s):  
Max Jerman

A total of 11 process models for simple multiplication combinations were fit to data obtained in the course of the daily operation of a CAI program in elementary arithmetic. Ten models were tested in a pilot study and retested in a follow-up study using a larger number of students the following school year. In the pilot study Model 6 gave the best overall fit at all grade levels, but did not give the best fit to each combination individually the largest number of times. Children appeared to alter the strategy used, as indicated by the model that gave the best fit, as a function of the combination itself. Further, the strategies that students apparently used at grade 3 were also used for the same combinations by grade 6 students in 72% of the cases.


Author(s):  
Kilian Gericke ◽  
A. J. Qureshi ◽  
Lucienne Blessing

Integrated product design and development in today’s highly competitive, demanding and economically challenging world is a complex process depending upon input of many individuals, groups, organizations and even communities, which collaborate to realize the product. Due to the multi-technology nature of modern products, the design process requires multi-disciplinary resources. Engineering design literature provides an extensive knowledge base of product design processes, most of which are specific in an explicit or an implicit way to a specific discipline. This is because some time ago, the products were perceived to be rather mono-disciplinary. Recently, design processes have been described for integrated products from inter-disciplinary and multi-disciplinary team perspective (e.g. [1]), however, they too take product specific and discipline specific point of view. This paper takes a transdisciplinary perspective towards product design and presents results from an empirical study carried out to analyze the design process of different integrated products belonging to different disciplines/industrial segments; all of which involve multi-disciplinary or transdisciplinary involvement. A framework based on key findings from the transdisciplinary consolidation of academic design process models presented by Gericke and Blessing and Eisenbart et al. is developed and used to provide answers to the following research questions: • How well does the literature based trans-disciplinary design process apply to the trans-disciplinary industrial context? • Are there similarities between design processes across organizations regarding presence of process stages and design states? • Are there any elements that deviate from the literature-based framework?


Author(s):  
Jin Woo Lee ◽  
Shanna R. Daly ◽  
Aileen Y. Huang-Saad ◽  
Colleen M. Seifert

Front-end design processes including problem definition and idea generation set a course for the ultimate success of a design. Many design process models emphasize the importance of divergence — considering alternative options — in promoting creativity. Depending on the circumstances of the design environment, design strategies to support divergence may be different as design processes are impacted by various contextual factors, such as available resources and expertise. To investigate how engineers explore alternatives during front-end design, we interviewed 10 academic engineers working in the discipline of microfluidics. Typically, a design process is described as identifying a problem and then generating potential solutions. In our sample, we found these engineers began their design processes with an existing solution and then searched for problems that fit. This qualitative study provided rich descriptions of design processes that show little to no evidence of divergence in generating possible solutions, and instead provide evidence of significant divergence in exploring possible problems. These data suggest traditional models of the design process are inadequate to capture the inverted solution-to-problem design process evident in designs of microfluidic devices created by academics. Understanding how design processes are altered in practice based on contextual factors such as setting and discipline can lead to strategies to better support innovation.


Author(s):  
William Stuart Miller ◽  
Joshua D. Summers

A new design process modeling approach focused on the information flow through design tools is discussed in this chapter. This approach is applied to three long term mechanical engineering design projects spanning 24 months, 12 months, and 4 months. These projects are used to explore the development of the new modeling approach. This is a first step in a broader effort in 1) modeling of design processes, 2) establishing case study research as a formal approach to design research, and 3) developing new design process tools. The ability of engineers to understand the dynamic nature of information throughout the design processes is critical to their ability to complete these tasks. Such understanding promotes learning and further exploration of the design process allowing the improvement of process models, the establishment of new research approaches, and the development of new tools. Thus, enhancing this understanding is the goal of this research effort.


Author(s):  
Manfred Theißen ◽  
Ri Hai ◽  
Wolfgang Marquardt

In this contribution, a methodology for modeling, improving, and implementing design processes in chemical engineering is presented. The methodology comprises a semiformal modeling language for design processes, complemented by a modeling procedure describing the efficient creation of design process models. The methodology inherits from some approaches developed in the domain of business process reengineering and workflow management, but has been extended considerably to meet the requirements imposed by the creative character of design processes. Two case studies demonstrating the successful application of the procedure for design processes in different industrial settings are discussed.


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