Abstract
The continued displacement of refugees from their homes and homelands (now greater than 50 million people worldwide) places increased focus and attention on evolving the designs of temporary housing that is available to be provided to the refugee population, especially in rural areas where housing does not already exist and must be constructed in very little time. Complex engineering problems involving social issues, such as this case study, benefit from the use of Integrated Transdisciplinary (TD) Tools (ITDT) to effectively and efficiently address the design questions related to them. The integrated use of TD Tools such as Kano Analysis, KJ Diagrams, Critical to Quality (CTQ), House of Quality (HOQ)/Quality Function Design (QFD), Theory of Inventive Problem Solving (TRIZ), Axiomatic Design (AD), Interpretive Structural Modeling (ISM), and Design Structure Matrix (DSM) through an end-to-end unique design process leads to innovation and elimination of design conflicts for especially complicated design problems. The objective of this study is to examine the design of temporary refugee housing using integrated TD tools mentioned above. This research concludes that the use of the ITDT approach provides an innovative, decoupled design.
Highlights
Complex problems are defined and quantified in various ways such as “size, entropy, information content, thermodynamic and information required to construct, computational capacity, statistical complexity, as well as others” [1]
For brevity in this paper, the steps related to KJ are omitted as the paper is focused on the key elements of integration of the other TD tools (Kano, House of Quality (HOQ)/Quality Function Design (QFD), TRIZ, Axiomatic Design (AD), Interpretive Structural Modeling (ISM), and Design Structure Matrix (DSM))
Referring to the details of the associated TRIZ 40 Inventive Principles #1, #23, #32, and #35, we considered details associated with each option for resolving the conflict; see Figure 15
Summary
Complex problems are defined and quantified in various ways such as “size, entropy, information content, thermodynamic and information required to construct, computational capacity, statistical complexity, as well as others” [1]. Their characteristics include a dynamic character and impact on society, and they cannot be solved [2]. There exist several approaches to addressing large-scale or complex problems [4]. These various engineering approaches are designed to enhance the value of, and reduce the time synthesizing, the potential solution set for resolving complex and large-scale problems. The engineering approaches that see the most widespread use in this space today include the following:
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