Search results

The purpose of this paper is to investigate the suitability of linen in garments for atopic dermatitis (AD) wearers.

In total, 60 garments were tested with four boys (five to eight years old): two with AD and two healthy kids using circular knitting occlusive structure (OS) 28-gauge and non-occlusive structure (NOS) 12-gauge with cotton, polyester staple and linen yarns. Air and water vapor permeability fabric results were analyzed using ANOVA method and occlusive levels correlated with thickness and UPF rates. Skin irritation levels were evaluated with Patient-Oriented SCORing Atopic Dermatitis (PO-SCORAD) self-assessment tool and for body temperature measurements infrared cameras were used. The authors standardized hygiene products; laundry procedures and soaps were previously identified and measured for their pH and skin irritation history with wearers.

Lower skinbody temperature (−2.6°C-−2.8°C) and PO-SCORAD values (16.1-22.8) during use by AD volunteers suggest promoting both wear tolerance (WT) and NOS preference. Air permeability of 3,222 l/m²s with NOS knitted linen as at least 48 percent higher than tested fibers indicating AD volunteers preference during hot climate (24°C to 37°C and 54 to 69 percent RH). Control healthy volunteers were less sensitive to NOS (−1.3°C-−1.6°C) and hot feeling polyester was detected in use. UPF confirms open loops of NOS (NOS UPF 10-5 vs OS UPF 25-15). Thickness (0.6 to 1.0 mm) and RET values (3.1-3.8) were both without significance for this study.

Due to the experimental character of this study with a reduced group of two AD volunteers, wear test conclusion is limited to these specific boys. Work extension aiming at broad AD wears statistics significance should consider more volunteers.

The study provides specific answers to opening new possibilities for AD wear other than cotton or polyester, both fibers with more availability in the Brazilian garments retail industry that sometimes did not meet their routine needs. This study provides practical daily understanding of correlations of WT and air permeability level of NOS knitted applied to garments in direct contact with the skin in subtropical climates.

Both academically and socially, the results can contribute to increasing information related to textile process and practical knowledge of knits to better accomplish AD clothing in subtropical climates. The practical wear test results with AD volunteers also indicate guidelines to parents who were having trouble identifying base layers, fundamental textiles and options for their kids in search of possible relief and well being mainly on hot days.

Circular knitting jersey linen study in direct contact with sensitive skin in a subtropical climate city like São Paulo is unique. The study also considered helping parents of a six-year-old AD boy in attendance to a doctor’s suggestion to find better options of clothings to be used during his daily routines.

To highlight key success factors in supply chain projects.

The paper presents insights from a number of supply chain projects in which IT has played an important part in the business solution.

Successful supply chain projects have four things in common: the right leadership, the right focus, the right approach and effective communication of KPIs to all stakeholders engaged in the project.

The focus of the paper is on supply chain projects with a significant IT component, but the key success factors identified are common to the majority of supply chain projects.

Companies must not assume that investment in IT is, by itself, a solution to their supply chain solutions. A lack of leadership, focus and communication will invariably result in sub‐optimal outcomes which are all too frequently attributed to the complex nature of the project or the inflexibility of the software when in most cases the problems are internal to the businesses involved and the project management process.

This paper provides practical tips for improving the likelihood of getting the most out of IT‐based supply chain projects.

The integration of Total Productive Maintenance (TPM) and Industry 4.0 (I4.0) is an emerging model, and the global pressure of various stakeholders raises scepticism of any emerging model towards providing sustainability. Therefore, this research aims to identify and rank the potential significant drivers of an integrated model of I4.0 and TPM to guide manufacturing enterprises towards sustainability.

This research follows a four-phase methodology including literature review and expert opinion to select the sustainability indicators and I4.0-integrated TPM key drivers, followed by employing the analytic hierarchy process approach for weight determination of sustainability indicators. The research then deploys the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to prioritise the I4.0-integrated TPM key drivers based on their effect on various sustainability indicators. Finally, a sensitivity analysis is conducted to check the robustness of the TOPSIS.

The findings establish the top five most influential key drivers of an I4.0-integrated TPM system, which include top management support, formal I4.0 adoption program, mid-management involvement and support, solid TPM baseline knowledge and high engagement of the production team. These top drives can lead manufacturing firms towards sustainability.

The digitalisation of shop floor practices, such as TPM, could be adapted by shop floor managers and policymakers of manufacturing companies to deliver sustainability-oriented outcomes. In addition, this research may aid decision-makers in the manufacturing sector in identifying the most important drivers of I4.0 and TPM, which will assist them in more effectively implementing an integrated system of I4.0 and TPM to practice sustainability. The scope of TPM applicability is wide, and the current research is limited to manufacturing companies. Therefore, there is a huge scope for developing and testing the integrated system of I4.0 and TPM in other industrial settings, such as the textile, food and aerospace industries.

This research makes a first-of-its-kind effort to examine how an I4.0-integrated TPM model affects manufacturing companies' sustainability and how such effects might be maximised.