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This study aims to formulate a user-friendly pre-design model that could be a decision support tool for green wall systems to assist designers in selecting an optimal green wall system aligned with specified performance criteria while concurrently addressing project requirements linked to social and economic parameters. This approach seeks to enhance overall project satisfaction for the designer and the owner.

A correlation between the green wall context and design requirements and its performance on the buildings have been defined by considering its social and economic parameters, which represented the owner preferences to ensure the most satisfaction from installation as it achieves the required performance that is defined by the designer such as maximizing thermal insulation, improving indoor air quality, reducing the needed heating and cooling loads, etc. and also to achieve the satisfaction in social and economic requirements defined by the owner such as system installation cost, system maintenance cost, adding beauty value, etc.

The research developed an easy pre-design model to be a tool for green wall system decision-making for the most suitable system, which contains three main steps: the first one is defining the required performance of the green wall (designer requirements), the second step is limiting the context of the project which is made by designer and the owner requirements and finally the third step is choosing the system components that ensures achieving the requirements of both owners and designer, related to the building and climate context.

The added value lies in developing a green wall decision-making tool, essentially a pre-design model. This model considers the correlation between the project’s context, encompassing climate and building conditions. It provides a structured approach for decision-making in the early stages of green wall design. It offers valuable insights into the optimal choices related to system type, installation methods and plant characteristics. This enhanced decision-making tool contributes to more informed and efficient design processes, considering each project’s specific needs and conditions.

The purpose of this paper is to show how the viable system model (VSM) and de Sitter's design theory can complement each other in the context of the diagnosis and design of viable organizations.

Key concepts from Beer's model and de Sitter's design theory are introduced and analyzed in order to show how they relate.

The VSM provides insight into the related systems necessary and sufficient for viability. As such, it specifies criteria supporting the diagnosis and design of organizational infrastructures, i.e. of organizational structures, HR systems, and technology. However, it does not explicitly conceptualize and provide a detailed heuristic for the design of organizational structures. De Sitter's theory fills in this gap.

The paper illustrates how, based on a rudimentary model of organizational viability, de Sitter's design theory positively addresses the question of how to diagnose and design organizational structures that add to the viability of organizations.

Due to the complexity of and variations in additive manufacturing (AM) processes, there is a level of uncertainty that creates critical issues in quality assurance (QA), which must be addressed by time-consuming and cost-intensive tasks. This deteriorates the process repeatability, reliability and part reproducibility. So far, many AM efforts have been performed in an isolated and scattered way over several decades. In this paper, a systematically integrated holistic view is proposed to achieve QA for AM.

A systematically integrated view is presented to ensure the predefined part properties before/during/after the AM process. It consists of four stages, namely, QA plan, prospective validation, concurrent validation and retrospective validation. As a foundation for QA planning, a functional workflow and the required information flows are proposed by using functional design models: Icam DEFinition for Function Modeling.

The functional design model of the QA plan provides the systematically integrated view that can be the basis for inspection of AM processes for the repeatability and qualification of AM parts for reproducibility.

A powder bed fusion process was used to validate the feasibility of this QA plan. Feasibility was demonstrated under many assumptions; real validation is not included in this study.

This study provides an innovative and transformative methodology that can lead to greater productivity and improved quality of AM parts across industries. Furthermore, the QA guidelines and functional design models provide the foundation for the development of a QA architecture and management system.

This systematically integrated view and the corresponding QA plan can pose fundamental questions to the AM community and initiate new research efforts in the in-situ digital inspection of AM processes and parts.

The purpose of this study was to collaboratively design eight professional dress ensembles incorporating Hejazi tribal embroidery and to evaluate Saudi female academics’ perceptions about those ensembles as appropriate for professional attire. The concept aimed to offer the potential for increased cultural identity by wearing modernized ethnic dress as everyday workplace attire that was relatively practical, affordable and expressive of Saudi cultural identity.

The goal in this research was to engage Saudi female academic professionals in designing clothing that integrated Saudi textile and costume traditions into contemporary styles appropriate for the academic work environment. Two models guided the research. The FEA model (Lamb and Kallal, 1992) was used to organize the questions in the survey questionnaire around an integration of culture with functional, aesthetic and expressive aspects of apparel. The second model guiding the research was an adaptation of the USAP participatory co-design model (Demirbilek and Demirkan, 2004). This model was used to engage study participants in the design process.

Qualitative results showed that participants were willing to wear the garments in this study, as the garments represented heritage, looked contemporary in terms of style lines, had comfort and interchangeable garment components, embroidery and printed fabric, fabric used in garment designs and color. Quantitative results showed that the ratings for the final garments were generally higher than the first sketches in the first phase. Results of the eight designs in the collection revealed that the aesthetic aspect was the most referenced by the participants among the FEA aspects. Results also indicated that silver waves design received the highest rating among the designs in terms of FEA aspects.

This research provides greater understanding of the ethnic culture of the Western region of Saudi Arabia for Western scholars. Previous research has indicated an interest in having garment manufacturing take place in Saudi Arabia (Turkustani, 1995). Findings from this research may lead to future study on the state of apparel production in Saudi Arabia and the potential feasibility of establishing a center for training in digital technology to support small business opportunities for Saudi women who are trained for work in the apparel industry.

Fixture design is a complicated task requiring both intensive knowledge and experience. This paper aims to present a computer-aided fixture design (CAFD) system framework based on design reuse technology.

Fixture design domain ontology is constructed by analyzing fixture design document corpus. A design reuse engine is proposed to realize fixture design knowledge retrieval and fixture model retrieval based on ontology and find fixture design cases similar to fixture design problem, and then use evolutionary methods to modify the retrieved model to meet the design requirements and then generate a new fixture.

The paper finds that the proposed framework is an efficient tool to improve efficiency of fixture design.

Fixture design existing experience and cases can be used efficiently reused and to advance new fixture design processes.

This paper presents a CAFD system framework capable of carrying out fixture design through full using of the existing fixture design resource and experienced knowledge.

This paper presents a research study conducted for evaluating the effectiveness of a conceptual model of a distributed process management environment in the establishment of a collaborative building design. At the highest level, the conceptual model of the distributed process management environment have the following features: (a) enables description of a plan of a design process, (b) enables enactment of a process according to its plan, and (c) enables control and management of the enactment of a design process. The paper also presents the findings of a verification and validation (V & V) study conducted for evaluating the fit between the needs and expectations of collaborating design groups and the solution provided by the conceptual model of the distributed process management environment.

The purpose of this paper is to propose an organisational structure not based on power and control but on the organic and functional processes of the front line.

These ideas arose from discussions about the roles and training needs of frontline managers, and frequent conflict between their organisational and functional roles.

Organisations that emphasise power and control functions, as symbolised in the organisational chart, often view solutions to efficiency, productivity and change in terms of the ability of senior managers to impose solutions on frontline staff, and the appointment of frontline managers for their ability to implement those solutions. However, more efficient, effective and creative solutions often result from developing dynamic and creative frontline teams, who can use their awareness of production, customer service and staffing issues to provide innovative organisational changes.

Organisations should appoint staff to frontline management positions based not on their ability to control but on their ability to provide leadership, functional facilitation and support to meet the purposes of the team.

The value of the paper lies in a proposed paradigm shift in organisational thinking from a model based on control to one based on functional team building.

The purpose of this paper is to analyse and predict the housing prices in Petaling district, Malaysia and its six sub-regions with a set of housing attributes using functional relationship model.

A new multiple unreplicated linear functional relationship model with both the response and explanatory variables are subject to errors is proposed. A total of 41,750 housing transacted records from November 2008 to February 2016 were used in this study. These data were divided into 70% training and 30% testing sets for each of the selected sub-regions. Individual housing price was regressed on nine housing attributes.

The results showed the proposed model has better fitting ability and prediction accuracy as compared to the hedonic model or multiple linear regression. The proposed model achieved at least 20% and 40% of predictions that have less than 5% and 10% deviations from the actual transacted housing prices, respectively. House buyers in these sub-regions showed similar preferences on most of the housing attributes, except for residents in Shah Alam who preferred to stay far away from shopping malls, and leasehold houses in Sri Kembangan are more valuable. From the h-nearest houses indicator, it is concluded that the housing market in Sungai Buloh is the most volatile in Petaling District.

As the data used are the actual housing transaction records in Petaling District, it represents only a segment of Malaysian urban population. The result will not be generalized to the entire Malaysian population.

This study is expected to provide insights to policymakers, property developers and investors to understand the volatility of the housing market and the influence of determinants in different sub-regions. The potential house buyers could also use the model to determine if a house is overpriced.

This study introduces measurement errors into the housing attributes to provide a more reliable analysis tool for the housing market. This study is the first housing research in Malaysia that used a large number of actual housing transaction records. Previous studies relied on small survey samples.

Additive manufacturing (AM) is a rapidly evolving manufacturing process, which refers to a set of technologies that add materials layer-by-layer to create functional components. AM technologies have received an enormous attention from both academia and industry, and they are being successfully used in various applications, such as rapid prototyping, tooling, direct manufacturing and repair, among others. AM does not necessarily imply building parts, as it also refers to innovation in materials, system and part designs, novel combination of properties and interplay between systems and materials. The most exciting features of AM are related to the development of radically new systems and materials that can be used in advanced products with the aim of reducing costs, manufacturing difficulties, weight, waste and energy consumption. It is essential to develop an advanced production system that assists the user through the process, from the computer-aided design model to functional components. The challenges faced in the research and development and operational phase of producing those parts include requiring the capacity to simulate and observe the building process and, more importantly, being able to introduce the production changes in a real-time fashion. This paper aims to review the role of robotics in various AM technologies to underline its importance, followed by an introduction of a novel and intelligent system for directed energy deposition (DED) technology.

AM presents intrinsic advantages when compared to the conventional processes. Nevertheless, its industrial integration remains as a challenge due to equipment and process complexities. DED technologies are among the most sophisticated concepts that have the potential of transforming the current material processing practices.

The objective of this paper is identifying the fundamental features of an intelligent DED platform, capable of handling the science and operational aspects of the advanced AM applications. Consequently, we introduce and discuss a novel robotic AM system, designed for processing metals and alloys such as aluminium alloys, high-strength steels, stainless steels, titanium alloys, magnesium alloys, nickel-based superalloys and other metallic alloys for various applications. A few demonstrators are presented and briefly discussed, to present the usefulness of the introduced system and underlying concept. The main design objective of the presented intelligent robotic AM system is to implement a design-and-produce strategy. This means that the system should allow the user to focus on the knowledge-based tasks, e.g. the tasks of designing the part, material selection, simulating the deposition process and anticipating the metallurgical properties of the final part, as the rest would be handled automatically.

This paper reviews a few AM technologies, where robotics is a central part of the process, such as vat photopolymerization, material jetting, binder jetting, material extrusion, powder bed fusion, DED and sheet lamination. This paper aims to influence the development of robot-based AM systems for industrial applications such as part production, automotive, medical, aerospace and defence sectors.

The presented intelligent system is an original development that is designed and built by the co-authors J. Norberto Pires, Amin S. Azar and Trayana Tankova.

Many features constitute an adaptive system such as user model, interface specification, business functionalities and service implementation. Context awareness is an important facet of service oriented application creation dealing with the gathering, use and representation of context information. Generally, user interfaces and services communities work separately on the adaptation process and do not converge. The aim of this work is to manage the system’s functionalities and the user interface that delivers data to the relevant consumer early since the design phase until the code generation.

The authors discuss how a unified method based on a model-driven architecture for adaptive user interface and pervasive service creation eases the work of designers and developers, limits incompatibility issues and supports dynamic generation of systems adapted to different contexts of use.

The proposed approach is able to support a semi-automatic ubiquitous application generation with service, behavior, presentation and content adaptation.

In this paper, the authors tackle context-awareness at two levels: system functionalities and user interface generation. The authors also tackle adaptation at the specification and implementation levels.