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The purpose of this study was to obtain some anthropometric dimensions of students in secondary schools necessary for the design of school furniture and use them to establish the models that best determine the relationships among the anthropometric dimensions and standing height.

A total of 480 students aged 10 to 18 years (n = 480, SD = ± 2.3 years) were randomly selected from eight public and eight private secondary schools in Ibadan, South West Nigeria. All the dimensions were subjected to curve estimation using Statistical Products and Services Solution 16.0 Statistical Package. The models with p < 0.005 and highest coefficient of determinations were selected as the best models to predict the relationships among the standing height and other variables.

The study proposes 11 models using standing height to estimate necessary anthropometric dimensions for the design of school furniture. The results of the study show that all anthropometric dimensions correlate more non-linearly with standing height than linearly.

The proposed models will have wide applications for the estimation of anthropometric data necessary for the design and construction of school furniture for use in secondary schools in South Western Nigeria.

The purpose of this study on architecture, design, ergonomics and anthropometry was to ensure compliance with the human-machine-work environment, minimize human error and obtain anthropometric measurements accurately, safely and rapidly.

The developed system efficiently extracted anthropometric data for 15,243 individuals with an accuracy rate of 98.8 per cent, focusing on the values for “shoulder breath” and “body depth.” In this study, a new anthropometric measurement system was developed and subsequently applied to obtain anthropometric measurements easily and quickly. The effect of the newly collected anthropometric data on the design discipline was evaluated.

The findings highlighted the need to update the anthropometric data used in other design studies. In addition to contributing to designing discipline, the updated anthropometric data are considered suitable for use in many different fields.

The design discipline and related disciplines are expected to take advantage of these measurements. Updating the aforementioned data will also be easier and faster because of the simplicity and affordability of the system.

This is the first and only such study in Turkey with regard to the up-to-date anthropometric measurements obtained and the size of the database created.

Since much of the design work for vessels and offshore installations occurs in countries other than where the vessel may operate or where the installation may be located, it is particularly important that the expected user be considered and accommodated through the design and operational phases of a project.

Within the framework of engineering design and marine operations, this chapter will discuss “soft” issues, such as organizational and line management decisions and personnel selection procedures, as well as “hardware” issues related to design of living and working environments. In particular, the chapter will address how culture should be considered while identifying “user” needs and requirements.

The purpose of this paper is to provide a guideline in the methodology of measuring the head toward the establishment of ready-to-wear (RTW) hijab sizing for Malaysian market.

This paper discusses the methodology for measuring facial dimensions in order to create facial anthropometric database for Malaysian women age between 18 and 30 years old.

Variety of RTW hijab measurement with non-standardized sizing system together with the support of respondent’s response from online survey due to their experience when wearing RTW hijab.

This paper fulfill the need in standardized sizing system either in RTW hijab or head sizing system in Malaysia.

This study aims to investigate the fabrication of solid ankle foot orthoses (SAFOs) using fused deposition modeling (FDM) printing technology. It emphasizes cost-effective 3D scanning with the Kinect sensor and conducts a comparative analysis of SAFO durability with varying thicknesses and materials, including polylactic acid (PLA) and carbon fiber-reinforced (PLA-C), to address research gaps from prior studies.

In this study, the methodology comprises key components: data capture using a cost-effective Microsoft Kinect® Xbox 360 scanner to obtain precise leg dimensions for SAFOs. SAFOs are designed using CAD tools with varying thicknesses (3, 4, and 5 mm) while maintaining consistent geometry, allowing controlled thickness impact investigation. Fabrication uses PLA and PLA-C materials via FDM 3D printing, providing insights into material suitability. Mechanical analysis uses dual finite element analysis to assess force–displacement curves and fracture behavior, which were validated through experimental testing.

The results indicate that the precision of the scanned leg dimensions, compared to actual anthropometric data, exhibits a deviation of less than 5%, confirming the accuracy of the cost-effective scanning approach. Additionally, the research identifies optimal thicknesses for SAFOs, recommending a 4 and 5 mm thickness for PLA-C-based SAFOs and an only 5 mm thickness for PLA-based SAFOs. This optimization enhances the overall performance and effectiveness of these orthotic solutions.

This study’s innovation lies in its holistic approach, combining low-cost 3D scanning, 3D printing and computational simulations to optimize SAFO materials and thickness. These findings advance the creation of cost-effective and efficient orthotic solutions.

Reviews literature from manufacturing strategy, flexibility, agile manufacturing, and aspects of industrial marketing and highlights fragmented and inadequate treatment of fundamental issues relating to product customisation. Through synthesis of the literature and the analysis of four case studies – in the manufacture of fork‐lift trucks, electro‐mechanical devices, small telecommunications systems and stationery products respectively – presents a novel model of the customisation process. Identifies typologies of customisation problem‐solving situations and custom‐build option types. Demonstrates the importance of the relationship between the degree of design activity and volume of manufacture, and of the distinction between products that are custom‐built from options, and those that involve some custom‐designed elements. Proposes a range of potential roles for customised products to support management decision making in the selection of appropriate business activities.

The purpose of this paper is to present a model of researching clothing anthropometrics at the Manchester Metropolitan University in the UK (MMU model), to demonstrate steps in devising size charts by analysing raw data, to relate key aspects of size charts to raw data, and to generate debate on such methods that impinge on the disseminated knowledge in this specialised area. Although sizing is important to consumers, retailers and manufacturers, this area has received scarce attention in the literature.

The MMU model presents step‐by‐step processes in generating size charts. Data from 150 women generated descriptive statistics (mean, standard deviation, percentiles); these were utilised to devise seven sizes of a body measurements table. Correlations were used to determine relationships, resulting in size charts with a defined size range and grading increments that are relatable to utilisation by consumers, retailers and manufacturers.

A step‐by ‐step model of analysing raw data is presented. A verifiable size chart, codes, grading increments and size limits relatable to data are generated. The usefulness of size charts is therefore contextualised.

This paper discusses only one model of researching clothing anthropometrics and provides a related conceptual framework; this could be the basis for future research and debate in this area.

For competitiveness, efficient sizing is useful for marketing, especially in creating niches, targeting customers and facilitating consumer satisfaction.

The MMU model provides an initial conceptual framework at one institution, a benchmark for similar practice in academia and industry and subsequent debate in literature.

Most apparel sizing systems are based on one or two body dimensions and rely on assumptions about proportional body relationships to project other dimensions necessary to design the garment pattern. Garments from these systems will not fit a population with large variations in body proportions. Using nonlinear optimization methods and anthropometric data of US Army women three multidimensional sizing systems were derived that are designed to provide improved fit for women from the USA, a population with much variation. These systems range from an optimized linear system with a regular grade to an unconstrained optimized system with a grade break at each size. The optimized sizing systems compare favorably with D5585‐94 in their ability to accommodate variation in the population based on a mathematical test of the aggregate loss of each system. Issues related to pattern grading, size selection, and calculation of stock keeping units are discussed.

Obesity is a chronic disease and it is very important to determine the underlying factors at the early stage. Disturbance in eating behaviors may predict the obesity risk.

In the present study, it was aimed to investigate eating behavior of Turkish adults by using The Three-Factor Eating Questionnaire-R18 (TFEQ-R18) and to analyze the association between anthropometric measurements and socio-demographic factors.

Individuals composed of 698 males, aged 28.6 ± 10.3 years and 1,736 females, aged 25.1 ± 7.8 years. Demographic characteristics participants were obtained via a questionnaire. TFEQ-R18for assessing eating behavior was used. Results claim that the usage of TFEQ-R18 was appropriate for non-obese individuals (Cronbach’s α value 0.83 for underweight group (n = 180, 7.4%), 0.76 for normal group (n = 1604, 65.9%), 0.69 for overweight group (n = 492, 20.2%), 0.69 obese group (n = 158, 6.5%). Gender seems to effect emotional eating scores (p = 0.026) and employment status seem to affect all TFEQ-R18 sub-group dimensions (cognitive eating scores, p = 0.022, uncontrolled eating scores, p < 0.001, emotional eating scores, p < 0.001). Divorced individuals tend to have higher cognitive restraint scores (16.2 ± 3.7). Although, single people have higher emotional eating scores (7.5 ± 2.6) (p = 0.006). There is a positive correlation among waist–height ratio, waist and neck circumference and cognitive restraint and uncontrolled eating scores (p < 0.001). However, body weight and height correlate negatively with cognitive restraint scores (p < 0.001).

According to the authors’ knowledge, this study gives brief results for the usage of TFEQ-R18 and the ability to predict eating behaviors in the general population.

Size fit and economic efficiency are two crucial aspects that need to be considered in designing a sizing system. However, there could exist a trade-off between those aspects in order to establish a practical sizing system. The purpose of this paper is to develop a sequential hybrid method of grid and optimization to generate a practical sizing system using anthropometric data.

The proposed sequential hybrid method consisted of two sequential steps, which employs grid method and optimization method. In the initial step, the grid method creates primary grids that accommodate a designated percentage (e.g. 90%) of users with best size fit. In the subsequent step, the optimization method generated additional grids to provide acceptable fit, with minimum fit penalty scores for users unaccommodated by the primary grids. Our method was applied to the development of a sizing system for men's military jackets. The proposed method performances were evaluated in terms of accommodation percentage, size fit and number of sizing categories.

Our proposed method resulted in 26 primary grids during the initial step, which cover 90% of users. Next, we generated six additional grids during the subsequent step that provide minimum fit penalty scores for the rest (10%) users.

The main contributions of this paper are as follows: consider accommodation percentage, size fit and number of sizing categories in the design of sizing system; combine the grid and optimization methods and evaluate a sizing system for men's military jackets. The proposed method is applicable to develop optimal sizing systems for multiple-size products.