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A CAD tool for the garment industry is described. The tool generates garment patterns using Bézier curves and is currently embedded within an intelligent knitwear design support system. The curves fulfil the design constraints imposed by the domain, are adaptable to individual styles and enable intuitive manipulation by the user. The system described is designed primarily to provide a means of improved communication between designers and technicians but it has the potential to become a key component in a bespoke design system.

The size prediction of garment is an important part in the process of the garment design and production, and it is also one of the most important features in warp-knitted computer-aided design system. The purpose of this paper is to realize the auto-generation of the garment templates using JavaScript and WebGL technologies, based on the prediction of the size of warp-knitted seamless sportswear.

The warp-knitted jacquard technology is used to produce the warp-knitted seamless sportswear, which is divided into suits and tights. In order to achieve the purpose of this study, the dimensions of four kinds of jacquard patterns knitted under different knitting conditions are measured and the crosswise and longitudinal size shrinkage percentages are also calculated. Then, the relationship between the yarn count and the drawing density as well as the size shrinkage percentage is studied and a size prediction model for warp-knitted jacquard fabric is established. Next, according to the results of the size calculation, the point positions of the garment boundary in the mathematical coordinate system is determined. The color formula is built by the two-dimensional mathematical matrix. Finally, combined with the coordinate position and color information, the template can be drawn automatically.

Based on the size prediction model of warp-knitted garment, the template generation of warp-knitted full-form sportswear on WebGL-enabled web browser is realized, which is proven to be an effective computer-aided design method for warp-knitted garments.

Because of limited researches, only two groups of yarns and four kinds of jacquard patterns were studied. A vaster database should be built and smooth curve, accurate coordinate needs to be optimized in the further research.

The size prediction model for warp-knitted jacquard garment and garment template auto-generation of warp-knitted computer-aided design system will simplify the fabric technical design process, shorten design time and improve the efficiency of new product development.

The size prediction model for warp-knitted jacquard garment and garment template auto-generation of warp-knitted computer-aided design system will provide the industries a guidance for new sample development and it also can shorten the development time and lower cost.

This author analyzes the relationship between the size characteristics and knitting technology of warp-knitted jacquard patterns, proposes a model of size prediction and realizes the auto-drawing of the garment template in the warp-knitted CAD system, which provides a reference for the new product design and development of warp-knitted seamless sportswear.

This paper aims to better understand community of practice (CoP)’s dynamics with a focus on the hotel sector and perceived benefits to members and business performance.

This is a case study research focusing on a successful experience within a CoP found in the hotel sector. The study reports in detail how a CoP was created and how it evolved to a digital platform to give birth to a fully co-designed tourism product. It analyzes this CoP’s social dynamics, processes of communication and interaction, as well as digital evolution. To collect rich data, method triangulation was applied by mixing quantitative and qualitative analyses.

The community is highly participated and valued because it is perceived as a dynamic system contributing to rapid information exchange and diffusion, efficient context for knowledge transfer and individual responsiveness to daily professional activities and challenges. The reasons why members perceive Amigas do Trade as a distinctive community include shared values and attitudes; professional area and position; and group composition. The majority of members acknowledged that belonging to this CoP has helped in making an informed decision with impact on business practice. The sub-theme more intensely participated and discussed concentrated on human resources issues.

A case study brings useful insights into the understanding of CoP members’ behaviour; however, findings are not generalizable to other communities.

This study contributes in several ways to business practice and management. Hotel businesses pertain to a sector in which CoPs easily thrive. This seems to happen because businesses in the tourism and hospitality industry are highly dependent on networks, people, communication channels and technologies. Engagement with technological platforms is stimulated because of the unproblematic integration of these digital platforms into other technologies members already use in their daily work and life. Moreover, digital platforms are not expensive and potentially increase motivation levels within CoP, and consequently in companies. This example inspires the use of digital platforms to exchange knowledge in other CoPs in the hotel sector.

CoPs are contexts of good interaction within a group of people by nurturing a good value system (comprehending trust, cohesion and good communication climate). Thus, a non-hierarchical and non-biased approach to CoP by managers could be accomplished by fostering an organizational culture based on joint innovation, coopetition and open communication principles. Expectedly, in this respect, intensive use of digital technologies in the business arena will keep playing a key role.

To the best of the authors’ knowledge, this is the first study on CoP applied to the hotel sector. Additionally, it is also the first time a CoP composed only by women working in the hotel sector was analyzed. One other element of novelty links to the fact that a CoP with physical and virtual dimensions was studied, introducing the use of digital platforms to the analysis of CoP dynamics.

In today's society with concern for crime and violence increasing and court television and celebrity trials bringing the criminal justice system, courtroom procedures, and rules of evidence into our living rooms, there is an increased need for reliable information about issues that are the core of forensic science: crime scene investigation and the collection and scientific analysis of physical evidence used in trials.

The paper aims to examine the concept of architectural design communication (ADC) for updating design studio dynamics in architectural education during the Covid-19 pandemic. Within this perspective, the changing and transforming contents of architectural education, the thinking, representation and production mediums are examined through the determined components of ADC. There are five components in the study, which are (1) Effective Language Use, (2) Effective use of Handcrafts, (3) Effective Technical Drawing Knowledge, (4) Effective Architectural Software Knowledge and (5) Outputs.

The research method is based on qualitative and quantitative methods; a survey study is applied and the comparative results are evaluated with the path analysis method. The students in the Department of Architecture of two universities have been selected as the target audience. Case study 1 survey is applied to Altinbas University (AU) and Case study 2 survey is applied to Universitat Politecnica de Valencia (UPV) students during the COVID-19 pandemic; ‘19-‘20 spring term, online education.

As a result, two-path analysis diagrams are produced for two universities, and a comparative analysis is presented to reveal the relationships of the selected ADC components.

This paper fulfills an identified need to study how ADC can be developed in online education platforms.

Effective educational methods are critical for successfully training future supply chain talent. The paper proposes a fuzzy multi-criteria decision-making model to evaluate and select the best educational method for tomorrow's supply chain leaders integrating skill development priorities in an uncertain environment.

The Grounded theory scheme is used to identify SC leaders' skillsets criteria and educational method alternatives. Fuzzy step-wise weight assessment ratio analysis sets the priority and determines the weight of 17 criteria. Eight decision-makers evaluate 13 alternatives using fuzzy linguistic terms. Fuzzy technique for order preference by similarity to ideal solution ranks and shows the most effective educational method. Sensitivity analysis presents the applicability of this study.

Its implementation in a university-industry collaboration case in Brazil, Mentored learning from industry experts is the best educational method. The skill development priorities are data analytics ability, end-to-end supply chain vision and problem-solving. Technical skills are the most important criteria that influence the selection of the optimal option and educational methods related to learning from others rank in the top teaching pool, including multidisciplinary cross-cultural training.

This paper is among the first to evaluate educational methods with skill development priorities integration for supply chain students using fuzzy SWARA–fuzzy TOPSIS. It provides actionable insights: a decision-making procedure for educational method selection, a broad skills profile for supply chain professional success and educational methods that professors can bring to in classroom/virtual environment.

In the era of industry 4.0, managing the design is a challenging mission. Within a dynamic environment, several disciplines have adopted the complex adaptive system (CAS) perspective. Therefore, this paper aims to explore how we may deepen our understanding of the design process as a CAS. In this respect, the key complexity drivers of the design process are discussed and an organizational decomposition for the simulation of the design process as CAS is conducted.

The proposed methodology comprises three steps. First, the complexity drivers of the design process are presented and are matched with those of CAS. Second, an analysis of over 111 selected papers is presented to choose the appropriate model for the design process from the CAS theory. Third, the paper provides methodological guidelines to develop an organizational decision support system that supports the complexity of the design process.

An analysis of the key drivers of design process complexity shows the need to adopt the CAS theory. In addition to that, a comparative analysis between all the organizational methodologies developed in the literature leads the authors to conclude that agent-oriented Software Process for engineering complex System is the appropriate methodology for simulating the design process. In this respect, a system requirements phase of the decision support system is conducted.

The originality of this paper lies in the fact of analysing the complexity of the design process as a CAS. In doing so, all the richness of the CAS theory can be used to meet the challenges of those already existing in the theory of the design.