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This study aims to raise awareness of the key challenges, opportunities and priorities for evidence-based strategies’ application to inform building and urban design decisions.

This study uses deductive qualitative content and manifest analysis, using semi-structured interviews undertaken with building and urban design professionals who represent a UK-based organisation.

The challenges associated with the practical implementation of frameworks, potential application areas and perceived areas of concern have been identified. These not only include the need to practically test their use, but also to identify the most appropriate forums for their use. Participant responses indicate the need to further develop engagement strategies for their practical implementation, clearly communicating the benefits and efficiencies to all stakeholders.

Implications/ limitations of this study come with the fact that some of the respondents may possess inadequate professional experience in properly evaluating all the questions. Additionally, the information gathered is restricted to the UK geographical context, as well as coming from one organisation, because of data accessibility.

The findings of the study can be adopted by designers in the strategic definition level to overcome the key challenges associated with the use of evidence-based strategies, enhancing their decision-making processes.

As a theoretical contribution to knowledge, this study enhances the body of knowledge by identifying the challenges associated with the practical implementation of evidence-based strategies to inform building and urban design decisions. In practice, the findings aid urban planners, designers and academics in embedding and adopting strategies that enhance decision-making processes.

Thruster point assembly mechanism (TPAM) of the electric propulsion system allows to adjust the thrust vector, so that the thrust vector is directed to the satellite center of gravity (COG) during the satellite on-orbit working period. In this way the impact of disturbance torque caused by deviation of the thrust vector from the satellite COG during thruster ignition can be decreased. Therefore, the control accuracy of satellite is influenced directly by the control accuracy of TPAM. On the other hand, the on-orbit application of TPAM is restricted to the on-orbit computer resource. Therefore, the purpose of this paper is to design a control strategy for TPAM, and the strategy should not only be able to control the TPAM precisely but also be easily implemented by the on-board computer.

First, the structure and work principle of TPAM are discussed, and the mathematical model based on D-H coordinate system is built for it. Then the fitting methods are utilized to design the control strategy of TPAM. Absolute position fitting-based control strategy and relative position fitting-based control strategy are designed, and the least squares algorithm is introduced for parameter selection.

Simulations and tests are provided for the TPAM. Compared with the state-of-the-art PD controller, the proposed control strategy shows smaller overshoot and more simple realization. The experiment results are matched with the simulation results and both the experiment and simulation results show the validity of the proposed control strategies.

The designed control strategies can be used for the TPAM of some satellite’s electric propulsion system.

The mathematical model of the TPAM based on D-H coordinate system is given. The absolute position fitting-based control strategy and relative position fitting-based control strategy are proposed. Compared with existing methods, the two control strategies have more simple structure and smaller amount of computations. Furthermore, the relative position fitting-based control strategy achieves high precision with simple structure.

One of the long-standing issues in the field of corporate real estate management is the alignment of an organisation’s real estate to its corporate strategy. To date, 14 models for corporate real estate (CRE) alignment have been made, as well as four comparative studies about CRE alignment. Some of the CRE alignment models indicate that they strive for maximum or optimum added value. However, because most models take a so-called procedural rationality approach, where the focus is not on the content of the decision but on the way that the decision is made, “how a CRE manager can select an (optimum) alternative” stays a black box. The purpose of this paper is to open the black box and offer a Preference-based Accommodation Strategy (PAS) design procedure that enables CRE managers to design a real estate portfolio, makes use of scales for direct measurement of added value/preference, and allows the aggregation of individual ratings into an overall performance rating. This procedure can be used as add-on to existing alignment models.

The objective of this paper is to test if participants are able to successfully perform the PAS procedure in practice. The PAS procedure is in essence a design methodology that aims to solve strategic portfolio design/decision-making problems. In accordance with problem-solving methodology, mathematical models are made for two pilot studies at the Delft University of Technology. This paper describes a second test of the proposed procedure for designing a real estate strategy. The application of real estate strategy design methods in practice is very context-dependent. Applying the PAS procedure to multiple context-dependent cases yields more valuable results than just applying it to one case.

The PAS design procedure enables CRE managers to select the (optimal) solution and thereby enhances CRE decision-making. The pilot study results reveal that, by completing the steps in the PAS procedure, the participants are able to express their preferences accordingly. They designed an alternative portfolio with substantially more added value, i.e. a higher overall preference score, than their current real estate portfolio. In addition, they evaluated the design method positively.

The positive results suggest that designing a strategy by using the PAS design procedure is a suitable approach to alignment.

The PAS design procedure enables CRE managers to determine the added value of a real estate strategy and quickly and iteratively design many alternatives. Moreover, the PAS design method is generic, it can be used for a wide range of real estate portfolio types.

The PAS procedure is original because it considers CRE alignment as a combined design and decision problem. The use of operational design and problem-solving methodologies along with an iterative procedure, instead of empirical/statistical methods and procedures, is a novel approach to CRE alignment. The PAS procedure is tested in a second pilot study to provide an assessment of the methodology through the study by testing it under different conditions to the first study. The novelty of this pilot is also that it allowed testing the procedure in its purest form, as the problem structure did not require the additional use of linear programming.

This paper aims to describe the development and test of such a design method to achieve alignment, which utilises the preference-based accommodation strategy (PAS) design procedure. One of the long-standing issues in the field of corporate real estate management is the alignment of an organisation’s real estate to its corporate strategy. A classification of alignment models shows that no model yet exists that is able to design a real estate portfolio and makes use of scales for direct measurement of added value/preference, and allows the aggregation of individual ratings into an overall performance rating.

To perform the steps in the PAS design procedure, a mathematical model is designed and tested according to formal design principles. The PAS design procedure is iteratively repeated with the participants in a series of interviews and workshops. In the interviews, the participants determine their preferences and constraints as prescribed in the procedure; in the workshops, they design alternative portfolios using the mathematical model. The objective of the research is to formulate, test and evaluate if participants are able to perform the PAS design procedure.

A methodology is developed for designing a real estate strategy that uses explicit scales for measuring value/preference and enables aggregating individual preference ratings into an overall rating taking into account both quantitative and qualitative portfolio properties. The tests of this design method with the participants reveal that by completing the steps in the PAS design procedure, users are able to determine their preferences accordingly. They were also able to design an alternative portfolio with a higher overall preference score than the current real estate portfolio. In addition, the design method is evaluated positively by the participants based on their experiences, the attractiveness of the method and perception of effectiveness of the method.

The positive results suggest that designing a strategy by using the PAS design procedure is a suitable approach to alignment.

The PAS design procedure enables corporate real estate (CRE) managers to determine the added value of a real estate strategy. Because the PAS design method is generic, it can be used for a wide range of real estate portfolios.

The first CRE alignment model uses stakeholders preferences to design a more optimal real estate strategy.

The reuse of timber building parts, when designing new buildings, has become a topic of increasing discussion as a proposed circular solution in support of sustainable development goals. Designers face the difficulty of identifying and applying different design strategies for reuse due to multiple definitions, which are used interchangeably. The purpose of this study is to propose a taxonomy to define the relationships between various concepts and practices that comprise the relevant strategies for reuse, notably design for disassembly (DfD) and design for adaptability (DfA).

Literature reviews were conducted based on research publications over the previous 12 years and located through the Web of Science and Scopus.

A taxonomy for the design process grounded on two strategies for reuse is presented: DfD and DfA. Based on previous work, the taxonomy aims to build a vocabulary of definitions in DfD and DfA to support other researchers and practitioners working in the field.

The research is limited to the design phase of timber-based buildings. It does not take into account the other phases of the construction process, neither other kind of construction methods.

The application of the taxonomy can facilitate communication between different actors and provide a way for building product manufacturers to demonstrate their reuse credentials, enabling them to produce and promote compliant products and thereby support design for reuse strategies.

This paper could contribute to a closer collaboration of all stakeholders involved in the building process since the very early phases of the conceptual design.

This paper contributes a comprehensive taxonomy to support the deployment of circular reuse strategies and assist designers and other stakeholders from the earliest of phases in the building’s life cycle. The proposed definition framework provided by the taxonomy resolves the longstanding lack of a supporting vocabulary for reuse and can be used as a reference for researchers and practitioners working with the DfD and DfA.

The purpose of this paper is to propose a hybrid decision-making model for optimizing the initial design strategies of pre-sales housing, identifying factors affecting the initial design of housing, and developing different initial design approaches and strategies based on buyers’ preferences.

Indicators and factors in line with the local initial planning and design are created according to the design quality indicator framework. The important indicators and factors are screened out preliminarily with the fuzzy Delphi method and decision-making trial and evaluation laboratory based analytic network process. The performances of two actual cases under similar site conditions are checked with regard to the overall residential sales rate and time on the market (TOM).

The result shows that the proposed model can effectively improve the sales rate, shorten the TOM and better complies with buyer design strategy demands, and thus positively correlating to economic value.

Pre-sales make possible the customized strategy of allowing future residents to participate in the housing design process. However, buyers’ participation in the design process is highly limited, and developers usually determine their planning and initial residential design strategies based on experience and intuition. With the proposed approach, the initial residential design of a project can be effectively intervened, so that home users can truly participate in the design, and the residential construction service can be provided in a unique, but non-universal way.

Advanced design strategies supported by iterative engineering performance calculations expand the number of alternatives designers can analyze by orders of magnitude. Yet, in the face of vast, under‐constrained design challenges with wide ranging and sometimes ill‐defined implications related to sustainability, it is not possible to replace building design with automated search. The purpose of this paper is to assist designers in their selection of strategies that have been shown to be effective in promoting sustainability.

This paper applies and extends the design exploration assessment methodology (DEAM) to compare the value of distinct design strategies. The authors use DEAM to demonstrate that designers face non‐trivially distinct challenges, even in the well‐defined arena of design for energy efficiency. They next evaluate and compare the effectiveness of strategies such as point‐analysis, screening, trend analysis, and optimization. They identify associated process costs, and extend DEAM to assess the relative value of information that each strategy provides for a given challenge.

Findings empirically rank six strategies for two challenges and demonstrate the relatively high value of trend analysis for energy‐efficient design.

The implication of the findings is that advanced computer analysis strategies should be pursued to support high performance, energy‐efficient design. Such conclusions motivate future research to assess the value of various strategies in the context of the broad and qualitative fields of sustainable design and development.

The paper aims to address the question of how and how often companies change their manufacturing strategy in the medium and long run, thus addressing a lack of evidence in the literature.

This paper explores the movements made by companies among four manufacturing strategy configurations drawn from the literature (market‐based, product‐based, capability‐based and price‐based configuration). Analyses are based on three longitudinal samples from the International Manufacturing Strategy Survey (IMSS) database.

Results show that while strategic configurations are rather stable, many companies do indeed change strategy and identifies which patterns of change prevail. Product‐based strategy is the most‐widely spread and most stable strategy. Capability‐based competition is the rising star. The market‐based strategy is struggling and price‐based competition is on its way out.

The main limitation is the small size of longitudinal samples, leading to tentative propositions for further testing.

No strategic configuration appears to be the final “maturity” target for manufacturers. Companies select their configurations according to life cycle of the organization and market competition.

The paper contributes to fill a lack of longitudinal evidence of strategic change and flexibility of manufacturing companies.

Taiwanese computer and electronic products possess advantages in design, innovation, rapid response, and global market flexibility. This study aims to examine Taiwanese computer and electronics firms to explore the product marketing strategies they adopted to deal with global competition. Furthermore, it is intended to analyze firms in different marketing strategic groups in terms of their product design strategies and how they incorporated design and marketing strategies into design innovation. This analysis is applied as an integrated innovation model for allocating design and marketing strategies.

Based on a questionnaire survey and case studies, the marketing strategies adopted by the Taiwanese computer and electronics industry can be classified into the categories of “market leader”, “market focus”, “market challenge” and “market niche”.

Firms employing different marketing strategies employed different design innovation strategies in product design. The design strategies adopted by enterprises in the market leader group incorporated aggressive innovation; those in the market focus group were characterized by focus innovation in product design; those in the market challenge group exhibited strong innovation integration in product design; and those in the market niche group exhibited flexible innovation in product design.

The innovation models adopted by the Taiwanese computer and electronics industry were related to enterprise scale, business type, and product development category. Results of this study provide a valuable reference for enterprises with regard to R&D and marketing in relation to product innovation.

This paper presents the phenomenographic analysis of students' approaches to learning in the first year architectural design coursework; thereby correlating contextualization in the architectural curriculum.

This paper reviews phenomenographic data of first year architecture students' learning experience through a comparative analysis of first- and fourth-year students' approaches to learning in the design studio; further co-relating this analysis to the final classification involving all five years of students' learning approaches in the architecture program.

Five meta-categories of the comparative analysis and nineteen meta-categories of the final classification are evaluated using first-year students' learning approaches – to understand the importance of contextualization in curriculums of architecture.

This phenomenographic analysis of first-year students' learning experience represents the onward journey from surface-to-deep approaches to learning that is encountered in their learning approaches, pertaining to the design process in the design coursework during five years of architectural education.

This paper systematically extends the discussion of first year architecture students' engagement in the design process that leads to deep learning; further delving into the static dimension of knowledge and its extension to the dynamic dimension of knowing architecture.