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Article
Publication date: 1 October 2000

F. Mete and D.W. Lloyd

Computational elastica theory is used to model a simple test for the bending properties of fabrics. This test, entitled the “CLOAK” test, was designed to offer practical…

382

Abstract

Computational elastica theory is used to model a simple test for the bending properties of fabrics. This test, entitled the “CLOAK” test, was designed to offer practical experimental advantages over the established cantilever bending, of bending length, test. Computational elastica theory offers a routine method for modelling fabrics in cantilever bending. In this case, the CLOAK test is simulated and shown to be equivalent to both the bending length test and to a related test method proposed in the 1960s.

Details

International Journal of Clothing Science and Technology, vol. 12 no. 4
Type: Research Article
ISSN: 0955-6222

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Article
Publication date: 1 August 1996

David W. Lloyd, F. Mete and K. Hussain

Outlines an approach to the problem of simulating the drape of fabrics. The approach is based on representing fabrics as two‐dimensional continua and using the differential…

225

Abstract

Outlines an approach to the problem of simulating the drape of fabrics. The approach is based on representing fabrics as two‐dimensional continua and using the differential geometry of surfaces to describe the shape of the draped fabric and to deduce deformation measures. The approach follows the philosophical approach previously used to establish computational models of elastica theory. Summarizes the mathematical model using a compact notation, with more detail being given in the context of a particular example. Uses a simple numerical solution procedure for the example, but this has limitations that indicate that more sophisticated techniques are needed. Points out possible difficulties with the graphical representation of drape, based on the experience of the simple example.

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International Journal of Clothing Science and Technology, vol. 8 no. 3
Type: Research Article
ISSN: 0955-6222

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Article
Publication date: 26 February 2021

Indraneel Das, Dilbagh Panchal and Mohit Tyagi

This paper aims to presents a novel integrated fuzzy decision support system for analyzing the issues related to failure of a milk process plant unit.

336

Abstract

Purpose

This paper aims to presents a novel integrated fuzzy decision support system for analyzing the issues related to failure of a milk process plant unit.

Design/methodology/approach

Process failure mode effect analysis (PFMEA) approach was implemented to list failure causes under each subsystem/component and fuzzy ratings for three risk criteria, i.e. probability of failure occurrence (O_f), severity (S) and non-detection (O_d) are collected against the listed failure causes through experts feedback. A new doubly technique for order of preference by similarity to ideal solution (DTOPSIS) approach was implemented within fuzzy PFMEA tool for ranking of listed failure causes. The proposed decision support system overcomes the restrictions of classical PFMEA and IF-THEN rule base PFMEA approaches in an effective way.

Findings

Failure causes such as electrical winding failure (RM4), high pressure in plate region (C1), communication problem in supervisory control and data acquisition control (MS3), insulation problem (ST2), lever breakage (B2), gasket problem (D3), formation of holes (PHE5), cavitations (FP7), deposition of milk particle inside the pipeline because of improper cleaning (MHP2) were acknowledged as the most critical one with the application of proposed decision support system.

Research limitations/implications

The analysis results are based on subjective judgments of the experts and therefore correctness of risk ranking results are totally dependent upon the quality of input data/information available from these experts. However, the analyst has taken proper care for considering the vagueness of the raw data by incorporating fuzzy set theory within the proposed decision support system.

Practical implications

The proposed fuzzy decision support system has been presented with its application on milk pasteurization plant of a milk process industry. The analysis based ranking results have been supplied to maintenance manager of the plant and a consent was shown by him with these results. Once the top management of the plant took decision for the implementation of these results, the detailed robustness of the proposed decision support system could be evaluated further.

Social implications

The analysis result would be highly useful for minimizing sudden breakdowns and operational cost of the plant which directly contributes to plant's profitability. With the decrease in the chances of sudden breakdowns there would be high safety for the people working on/off the plant's site. Further, with increase in availability of the considered plant the societal daily demand related to dairy products could be easily fulfilled at reasonable prices.

Originality/value

The performance and proficiency of the proposed decision support system has been evaluated by comparing the ranking results with classical TOPSIS and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) approaches based results.

Details

International Journal of Quality & Reliability Management, vol. 39 no. 1
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 1 March 2021

Mohammad Khalilzadeh, Peiman Ghasemi, Ahmadreza Afrasiabi and Hedieh Shakeri

The purpose of this study is to present a new failure mode and effects analysis (FMEA) approach based on fuzzy multi-criteria decision-making (MCDM) methods and multi-objective…

608

Abstract

Purpose

The purpose of this study is to present a new failure mode and effects analysis (FMEA) approach based on fuzzy multi-criteria decision-making (MCDM) methods and multi-objective programming model for risk assessment in the planning phase of the oil and gas construction projects (OGCP) in Iran.

Design/methodology/approach

This research contains multiple steps. First, 19 major potential health and safety executive (HSE) risks in OGCP were classified into six categories with the Delphi method. These factors were distinguished by the review of project documentation, checklist analysis and consulting with experts. Then, using the fuzzy SWARA method, the authors calculated the weights of major HSE risks. Subsequently, FMEA and PROMETHEE approaches were used to identify the priority of main risk factors. Eventually, a binary multi-objective linear programming approach was developed to select the risk response strategies, and an augmented e-constraint method (AECM) was used.

Findings

Regarding the project triple well-known constraints of time, cost and quality, which organizations usually confront, the HSE risks of OGCP were identified and prioritized. Also, the appropriate risk response strategies were also suggested to the managers to be adopted regarding the situations.

Originality/value

The present research points at the HSE risks’ assessment integrating the fuzzy FMEA, step-wise weight assessment ratio analysis and PROMETHEE techniques with the AECM. Further to the authors’ knowledge, the quantitative assessment of the HSE risks of OGCP has not been done using the combination of the fuzzy FMEA, MCDM and AECMs.

Details

Journal of Modelling in Management, vol. 16 no. 4
Type: Research Article
ISSN: 1746-5664

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Article
Publication date: 10 May 2011

Qazi Muhammad Adnan Hye and Shahida Wizarat

The purpose of this paper is to develop a financial liberalization index (FLI) and evaluate its impact on agricultural growth.

1343

Abstract

Purpose

The purpose of this paper is to develop a financial liberalization index (FLI) and evaluate its impact on agricultural growth.

Design/methodology/approach

The study uses the autoregressive distributed lag approach to determine the long run and short coefficients.

Findings

The empirical results show that FLI affects agricultural growth positively in the short and the long run; but real interest rate positively affects agricultural growth in the short run and negatively in the long run.

Originality/value

While previous research focuses on overall economic growth, this paper evaluates the impact of financial liberalization on the agricultural sector.

Details

China Agricultural Economic Review, vol. 3 no. 2
Type: Research Article
ISSN: 1756-137X

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Article
Publication date: 9 May 2016

Alice Payne

The purpose of this paper is to identify both the inspiration sources used by fast fashion designers and ways the designers sort information from the sources during the product…

3879

Abstract

Purpose

The purpose of this paper is to identify both the inspiration sources used by fast fashion designers and ways the designers sort information from the sources during the product development process.

Design/methodology/approach

This is a qualitative study, drawing on semi-structured interviews conducted with the members of the in-house design teams of three Australian fast fashion companies.

Findings

Australian fast fashion designers rely on a combination of trend data, sales data, product analysis, and travel for design development ideas. The designers then use the consensus and embodiment methods to interpret and synthesise information from those inspiration sources.

Research limitations/implications

The empirical data used in the analysis were limited by interviewing fashion designers within only three Australian companies.

Originality/value

This research augments knowledge of fast fashion product development, in particular designers’ methods and approaches to product design within a volatile and competitive market.

Details

Journal of Fashion Marketing and Management, vol. 20 no. 2
Type: Research Article
ISSN: 1361-2026

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Article
Publication date: 1 May 2020

Emre Cevikcan and Mehmet Bulent Durmusoglu

Rabbit chase (RC) is used as one of the most effective techniques in manufacturing systems, as such systems have high level of adaptability and increased productivity in addition…

278

Abstract

Purpose

Rabbit chase (RC) is used as one of the most effective techniques in manufacturing systems, as such systems have high level of adaptability and increased productivity in addition to providing uniform workload balancing and skill improving environment. In assembly systems, RC inspires the development of walking worker assembly line (WWAL). On the other hand, U-type assembly lines (UALs) may provide higher worker utilization, lower space requirement and more convenient internal logistics when compared to straight assembly lines. In this context, this study aims to improve assembly line performance by generating RC cycles on WWAL with respect to task assignment characteristics of UAL within reasonable walking distance and space requirement. Therefore, a novel line configuration, namely, segmented rabbit chase-oriented U-type assembly line (SRCUAL), emerges.

Design/methodology/approach

The mathematical programming approach treats SRCUAL balancing problem in a hierarchical manner to decrease computational burden. Firstly, segments are generated via the first linear programming model in the solution approach for balancing SRCUALs to minimize total number of workers. Then, stations are determined within each segment for forward and backward sections separately using two different pre-emptive goal programming models. Moreover, three heuristics are developed to provide solution quality with computational efficiency.

Findings

The proposed mathematical programming approach is applied to the light-emitting diode (LED) luminaire assembly section of a manufacturing company. The adaptation of SRCUAL decreased the number of workers by 15.4% and the space requirement by 17.7% for LED luminaire assembly system when compared to UAL. Moreover, satisfactory results for the proposed heuristics were obtained in terms of deviation from lower bound, especially for SRCUAL heuristics I and II. Moreover, the results indicate that the integration of RC not only decreased the number of workers in 40.28% (29 instances) of test problems in U-lines, but also yielded less number of buffer points (48.48%) with lower workload deviation (75%) among workers in terms of coefficient of variation.

Practical implications

This study provides convenience for capacity management (assessing capacity and adjusting capacity by changing the number of workers) for industrial SRCUAL applications. Meanwhile, SRCUAL applications give the opportunity to increase the capacity for a product or transfer the saved capacity to the assembly of other products. As it is possible to provide one-piece flow with equal workloads via walking workers, SRCUAL has the potential for quick realization of defects and better lead time performance.

Originality/value

To the best of the authors’ knowledge, forward–backward task assignments in U-type lines have not been adapted to WWALs. Moreover, as workers travel overall the line in WWALs, walking time increases drastically. Addressing this research gap and limitation, the main innovative aspect of this study can be considered as the proposal of a new line design (i.e. SRCUAL) which is sourced from the hybridization of UALs and WWAL as well as the segmentation of the line with RC cycles. The superiority of SRCUAL over WWAL and UAL was also discussed. Moreover, operating systematic for SRCUAL was devised. As for methodical aspect, this study is the first attempt to solve the balancing problem for SRCUAL design.

Details

Assembly Automation, vol. 40 no. 3
Type: Research Article
ISSN: 0144-5154

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Article
Publication date: 3 January 2023

Nurcan Deniz and Feristah Ozcelik

Although disassembly balancing lines has been studied for over two decades, there is a gap in the robotic disassembly. Moreover, combination of problem with heterogeneous employee…

366

Abstract

Purpose

Although disassembly balancing lines has been studied for over two decades, there is a gap in the robotic disassembly. Moreover, combination of problem with heterogeneous employee assignment is also lacking. The hazard related with the tasks performed on disassembly lines on workers can be reduced by the use of robots or collaborative robots (cobots) instead of workers. This situation causes an increase in costs. The purpose of the study is to propose a novel version of the problem and to solve this bi-objective (minimizing cost and minimizing hazard simultaneously) problem.

Design/methodology/approach

The epsilon constraint method was used to solve the bi-objective model. Entropy-based Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Preference Ranking Organization methods for Enrichment Evaluation (PROMETHEE) methods were used to support the decision-maker. In addition, a new criterion called automation rate was proposed. The effects of factors were investigated with full factor experiment design.

Findings

The effects of all factors were found statistically significant on the solution time. The combined effect of the number of tasks and number of workers was also found to be statistically significant.

Originality/value

In this study, for the first time in the literature, a disassembly line balancing and employee assignment model was proposed in the presence of heterogeneous workers, robots and cobots to simultaneously minimize the hazard to the worker and cost.

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Article
Publication date: 2 January 2023

Jitendra Sharma and Bibhuti Bhusan Tripathy

Supplier evaluation and selection is an essential (multi-criteria decision-making) MCDM process that considers qualitative and quantitative factors. This research work attempts to…

404

Abstract

Purpose

Supplier evaluation and selection is an essential (multi-criteria decision-making) MCDM process that considers qualitative and quantitative factors. This research work attempts to use a MCDM technique based on merging fuzzy Technique for Order Preference by Similarity to Ideal Solution (F-TOPSIS) and Quality Function Deployment (QFD) ideas. The study attempts to find the supplier's attributes (HOWs) to accomplish its goals after determining the product's characteristics to suit the company's needs (WHATs).

Design/methodology/approach

The proposed research methodology comprises the following four steps: Step 1: Determine the product purchase requirements (“WHATs”) and those pertinent to supplier evaluation (“HOWs”). In Step 2, the relative importance of the “WHAT-HOW” correlation scores is determined and also the resulting weights of “HOWs”. In Step 3, linguistic evaluations of possible suppliers in comparison to subjective criteria are given to the decision-makers. Step 4 combines the QFD and F-TOPSIS techniques to select suppliers.

Findings

A fuzzy MCDM method based on fusing and integrating fuzzy information and QFD is presented to solve the drawbacks of conventional decision-making strategies used in supplier selection. Using the F-TOPSIS method, fuzzy positive ideal solution (FPIS) and fuzzy negative ideal solution (FNIS), the relative closeness coefficient values for all alternatives are computed. The suppliers are ranked by relating the closeness of coefficient values. This method permits the combination of ambiguous and subjective data expressed as fuzzy-defined integers or linguistic variables.

Originality/value

QFD and TOPSIS, two widely used approaches, are combined in this article to rank and evaluate suppliers based on the traits that the suppliers choose to prioritize. This study demonstrates that the method employed could address multiple-criteria decision-making scenarios in a computationally efficient manner. The effectiveness and applicability of the method are illustrated using an example.

Details

The TQM Journal, vol. 35 no. 8
Type: Research Article
ISSN: 1754-2731

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Article
Publication date: 1 March 1999

G.K. Stylios and T.R. Wan

This paper discusses the concept of virtual measurement in textiles and describes the development of a virtual 3D fabric drape measurement system. In this system, a physical based…

949

Abstract

This paper discusses the concept of virtual measurement in textiles and describes the development of a virtual 3D fabric drape measurement system. In this system, a physical based model is used to predict the draping performance, static and dynamic drape of a given fabric sample. Fabric mechanical properties are used for simulating the virtual 3D shape of the fabric samples, which produce a time‐variable deformation of the virtual fabric drape. The 3D fabric drape can be observed under any view angle. An algorithm is developed, applied and integrated into the system for carrying out virtual fabric drape measurements in order to evaluate the drapeability of a given fabric. Important fabric aesthetic attributes such as number of fabric folds, fold variation and depth of fold are presented and implemented together with the drape co‐efficient.

Details

International Journal of Clothing Science and Technology, vol. 11 no. 1
Type: Research Article
ISSN: 0955-6222

Keywords

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