scholarly journals Optimizing Early Design Process Decision Making Through Effective Problem Framing

2016 ◽  
Author(s):  
Clifton Fordham ◽  
Keyword(s):  
Problem Solving ◽  
Design Process ◽  
Building Design ◽  
Detailed Knowledge ◽  
Unique Form ◽  
Problem Framing ◽  
Course Work ◽  
Financial Interests ◽  
Phase Design ◽  
Technical Considerations

Building design and delivery activities, from programming to commissioning, draw on different strengths of architects including a unique form of problem solving that appears mysterious and personal. More common early in the design process, an intuitive approach, and a paucity of arguments connected to the financial interests of owners, masks the capacity of architects to provide valued adding integral sustainable design solutions which others can effectively provide. An inclination toward intuition, and simulating early phase design problem solving, is consistent with how architecture schools teach, supplementing core studio curriculum with course work structured to introduce detailed knowledge. Within schools, this division is supported by the perception that numerical, and technical considerations, inhibit creativity and fluid output.

scholarly journals Design space exploration for flexibility assessment and decision making support in integrated industrial building design

2021 ◽  
Author(s):  
Julia Reisinger ◽  
Maximilian Knoll ◽  
Iva Kovacic
Keyword(s):  
Decision Making ◽  
Design Process ◽  
Design Space Exploration ◽  
Design Space ◽  
Parametric Design ◽  
Space Exploration ◽  
Building Design ◽  
Assessment Tools ◽  
Industrial Building ◽  
Industrial Buildings

AbstractIndustrial buildings play a major role in sustainable development, producing and expending a significant amount of resources, energy and waste. Due to product individualization and accelerating technological advances in manufacturing, industrial buildings strive for highly flexible building structures to accommodate constantly evolving production processes. However, common sustainability assessment tools do not respect flexibility metrics and manufacturing and building design processes run sequentially, neglecting discipline-specific interaction, leading to inflexible solutions. In integrated industrial building design (IIBD), incorporating manufacturing and building disciplines simultaneously, design teams are faced with the choice of multiple conflicting criteria and complex design decisions, opening up a huge design space. To address these issues, this paper presents a parametric design process for efficient design space exploration in IIBD. A state-of-the-art survey and multiple case study are conducted to define four novel flexibility metrics and to develop a unified design space, respecting both building and manufacturing requirements. Based on these results, a parametric design process for automated structural optimization and quantitative flexibility assessment is developed, guiding the decision-making process towards increased sustainability. The proposed framework is tested on a pilot-project of a food and hygiene production, evaluating the design space representation and validating the flexibility metrics. Results confirmed the efficiency of the process that an evolutionary multi-objective optimization algorithm can be implemented in future research to enable multidisciplinary design optimization for flexible industrial building solutions.

A Data Flow Model to Plan and Manage the Building Design Process

1996 ◽  
Vol 7 (1) ◽  
pp. 3-25 ◽  
Author(s):  
SIMON AUSTIN ◽  
ANDREW BALDWIN ◽  
ANDREW NEWTON
Keyword(s):  
Design Process ◽  
Flow Model ◽  
Data Flow ◽  
Building Design ◽  
Data Flow Model

A model of the mechanical design process based on empirical data

1988 ◽  
Vol 2 (1) ◽  
pp. 33-52 ◽  
Author(s):  
David G. Ullman ◽  
Thomas G. Dietterich ◽  
Larry A. Stauffer
Keyword(s):  
Problem Solving ◽  
Detailed Analysis ◽  
Conceptual Design ◽  
Design Process ◽  
Empirical Data ◽  
Mechanical Design ◽  
Level Of Detail ◽  
Cad Tools ◽  
Design Alternatives ◽  
Key Features

This paper describes the task/episode accumulation model (TEA model) of non-routine mechanical design, which was developed after detailed analysis of the audio and video protocols of five mechanical designers. The model is able to explain the behavior of designers at a much finer level of detail than previous models. The key features of the model are (a) the design is constructed by incrementally refining and patching an initial conceptual design, (b) design alternatives are not considered outside the boundaries of design episodes (which are short stretches of problem solving aimed at specific goals), (c) the design process is controlled locally, primarily at the level of individual episodes. Among the implications of the model are the following: (a) CAD tools should be extended to represent the state of the design at more abstract levels, (b) CAD tools should help the designer manage constraints, and (c) CAD tools should be designed to give cognitive support to the designer.

Toward a Reasoning Framework of Design As Synthesis

1999 ◽  
Author(s):  
Masaharu Yoshioka ◽  
Tetsuo Tomiyama
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Design Process ◽  
Process Modeling ◽  
Implementation Strategy ◽  
Multiple Model ◽  
Hypothetical Reasoning ◽  
Design Processes ◽  
Design Process Modeling ◽  
Do So

Abstract Most of the previous research efforts for design process modeling had such assumptions as “design as problem solving,” “design as decision making,” and “design by analysis,” and did not explicitly address “design as synthesis.” These views lack notion and understanding about synthesis. Compared with analysis, synthesis is less understood and clarified. This paper discusses our fundamental view on synthesis and approach toward a reasoning framework of design as synthesis. To do so, we observe the designer’s activity and formalize knowledge operations in design processes. From the observation, we propose a hypothetical reasoning framework of design based on multiple model-based reasoning. We discuss the implementation strategy for the framework.

Information Architecture for Design Tolerancing: From Conceptual to the Detail Design

1999 ◽  
Author(s):  
U. Roy ◽  
R. Sudarsan ◽  
R. D. Sriram ◽  
K. W. Lyons ◽  
M. R. Duffey
Keyword(s):  
Design Process ◽  
Tolerance Analysis ◽  
Detailed Knowledge ◽  
Functional Requirements ◽  
Physical Entity ◽  
Data Set ◽  
Analysis And Synthesis ◽  
And Behavior ◽  
Synthesis Of Tolerances ◽  
Assembly Models

Abstract Tolerance design is the process of deriving a description of geometric tolerance specifications for a product from a set of specifications on the desired properties of the product. Existing approaches to tolerance analysis and synthesis entail detailed knowledge of geometry of assemblies and are mostly applicable during advanced stages of design, leading to a less than optimal design process. During the design process of assemblies, both assembly structure and associated tolerance information evolve continuously and significant gains can be achieved by effectively using this information to influence the design of an assembly. Any pro-active approach to the assembly or tolerance analysis in the early design stages will involve decision making with incomplete information models. In order to carry out early tolerance synthesis and analysis in the conceptual stages of the product design, we need to devise techniques for representing function-behavior-assembly models that will allow analysis and synthesis of tolerances, even with the incomplete data set. A ‘function’ (what the system is for) is associated with the transformation of an input physical entity into an output physical entity by the system. The problem or customer’s need, initially described by functional requirements on an assembly, and associated constraints on the functional requirements derives the concept of an assembly. This specification of functional requirements and constraints define a functional model for the assembly. Many researchers have studied functional representation (function based taxonomy and ontology), function to form mapping, and behavior representation (behavior means how the system/product works). However, there is no comprehensive function-assembly-behavior (FAB) integrated model. In this paper, we discuss the integration of function, assembly, and behavior representation into a comprehensive information model (FAB models). To do this, we need to develop appropriate assembly models and tolerance models that would enable the designer to incrementally understand the build-up or propagation of tolerances (i.e., constraints) and optimize the layout, features, or assembly realizations. This will ensure ease of tolerance delivery.

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