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Article
Publication date: 21 May 2009

Sutapa Das, Kim Leng Poh and Michael Yit Lin Chew

Besides designing a comprehensive building maintainability scoring system, this paper aims to develop a standard and reliable method for acquisition of tacit knowledge in facility…

1097

Abstract

Purpose

Besides designing a comprehensive building maintainability scoring system, this paper aims to develop a standard and reliable method for acquisition of tacit knowledge in facility management (FM) and convert the same into organizational records so that the current dearth of information and poor feedback leading to recurrent defects and arbitrary FM strategies can be eliminated.

Design/methodology/approach

Nine major building elements in terms of maintainability were compared by analytic hierarchy process (AHP). Various aspects of consistency checking and group decision making were reviewed to find the best suitable method. During data collection via an AHP questionnaire in face‐to‐face interviews, logical reasoning employed by experts was noted and later matched with the subjective data.

Findings

It was observed that technical viability of services and business profile given by building height and location, respectively, set different priorities for major building elements. HVAC system is the prime element followed by elevator and façade. Such priorities can be derived from consistent judgment which improves steadily with a decision‐maker's work experience. A threshold of 10 per cent consistency and aggregating individual priorities (AIP) using geometric mean method of AHP were found most appropriate.

Practical implications

Adaptation of this framework will help industry experts to document their tacit knowledge in a structured manner without facing present constraints. By tracking the recorded facts and logical reasoning, neophytes can learn the multi‐faceted aspects of FM without trial and error.

Originality/value

This research establishes AHP as a standard and reliable method for knowledge acquisition and thus elevates its status from a multi‐criteria decision analysis tool to decision enhancement tool.

Details

Facilities, vol. 27 no. 7/8
Type: Research Article
ISSN: 0263-2772

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Article
Publication date: 18 July 2024

Sarah Yahia and Khaled Mohamed Seddik

This study aims to accommodate the mechanical characteristics that comply with the spectra of active sportswear by taking the innovative features of double-layered fabric (double…

26

Abstract

Purpose

This study aims to accommodate the mechanical characteristics that comply with the spectra of active sportswear by taking the innovative features of double-layered fabric (double cloth) and polyester yarn. The research focused on blending two types of polyester: Renova® and polyester microfiber with different weave structures in both face and back layers for fabricated fabrics. Force resistance was investigated through several properties, the mass per unit area and thickness properties were also considered.

Design/methodology/approach

The research was divided into two phases. The first phase included three samples with the same double cloth structure and different weft materials to detect the most preferable performance. The second phase included three samples with the same materials and different double cloth structures. Several mechanical properties were tested in accordance with standard test methods, and the results were collected, tabulated and statistically analyzed using a chart line, an ANOVA test with a p-value = 0.05, a calculated least significant difference (value) and a radar chart area.

Findings

The results assigned that blending Renova®/polyester microfiber develops mechanical properties than using them individually, considering the increase in polyester microfiber ratio. The double cloth with different plain structures has a significantly different effect on the examined properties, except for elongation and thickness.

Originality/value

According to the radar chart area, the double cloth with a plain rib structure achieved better performance, and in the same vein, the results showed that the plain with a warp rib structure enhanced fabric behavior more than the weft rib.

Details

Research Journal of Textile and Apparel, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1560-6074

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Article
Publication date: 25 November 2021

Anurak Sawangwong and Poti Chaopaisarn

The purpose of the study is to investigate the impact of technological pillars of Industry 4.0 based on knowledge to adopt the supply chain performance of Thai small and…

1198

Abstract

Purpose

The purpose of the study is to investigate the impact of technological pillars of Industry 4.0 based on knowledge to adopt the supply chain performance of Thai small and medium-sized enterprises (SMEs) 4.0. In addition, to increase knowledge and understanding of how to apply knowledge in technology 4.0 to improve the efficiency of supply chains and organizations.

Design/methodology/approach

An integrated model was developed from applying knowledge in five technological pillars of Industry 4.0 such as Internet of things (IoTs), cloud computing, big data and analytics, additive manufacturing and cyber-security. The bibliometric analysis was used to find the relationship between the technological pillars of Industry 4.0 and the literature review. The survey questionnaires were sent to Thai SME 4.0 (manufacturing aspect). Of these, 240 useable responses were received, resulting in a response rate of 65.84%, after then, the exploratory factor analysis (EFA), confirmatory factor analysis (CFA), structural equation modeling (SEM) and validity were used to evaluate the model through IBM SPSS 21 and AMOS 22.

Findings

EFA showed the four groups of the technological pillars of Industry 4.0, such as support human, automation, real-time and security. These groups positively impact supply chain performance (increase delivery reliability, increase resource efficiency, decrease costs in the supply chain and reduce delivery time). Another important finding is that supply chain performance positively impacts organizational performance in profitability, return on investment (ROI) and sale growth.

Originality/value

This study is a model development to support the supply chain performance and increase understanding related to applying knowledge in technology 4.0 that remains unclear for SME 4.0.

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