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Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

This paper aims to explore the optimization process involved in the aircraft maintenance allocation and packing problem. The aircraft industry misses a part of the optimization potential while developing maintenance plans. This research provides the modeling foundation for the missing part considering the failure behavior of components, costs involved with all maintenance tasks and opportunity costs.

The study models the cost-effectiveness of support against the availability to come up with an optimization problem. The mathematical problem was solved with an exact algorithm. Experiments were performed with real field and synthetically generated data, to validate the correctness of the model and its potential to provide more accurate and better engineered maintenance plans.

The solution procedure provided excellent results by enhancing the overall arrangement of the tasks, resulting in higher availability rates and a substantial decrease in total maintenance costs. In terms of situational awareness, it provides the user with the flexibility to better manage resource constraints while still achieving optimal results.

This is an innovative research providing a state-of-the-art mathematical model and an algorithm for efficiently solving a task allocation and packing problem by incorporating components’ due flight time, failure probability, task relationships, smart allocation of common preparation tasks, operational profile and resource limitations.

This article examines the components of management operations in the snack industry. The snack industry generates about $21 billion annually in retail sales in the United States. Management operations in this industry entail several areas. The management areas observed are: creating a variety of products, marketing a product, managing the production process, incorporating advanced technology, and operating in accordance to both HACCP guidelines and company guidelines. Some of the topics focus on one portion of the snack industry, potato chips, in order to provide a more detailed account of certain themes. The research provides a thorough understanding of the snack industry, the changes and demands it faces and the way managers put all the pieces together to make it work.

Purpose: The prominence of quality education for building sustainable development is undeniable and is distinctly pointed out in 1 of the 14 sustainable development goals (SDGs). In the same context, this study intends to investigate the role of university commitment, perceived organisational prestige, student satisfaction, and perceived employability in enhancing sustainability in higher education.

Need of the Study: To evaluate how student satisfaction mediates the relationship between university commitment, perceived organisational prestige, and perceived employability with sustainable university institutes.

Methodology: An adapted questionnaire was used in this study to capture the perception of 458 management graduates selected through the purposive sampling method. Partial least squares structural equation modelling (PLS-SEM) technique was used to analyse the data with the help of Smart PLS software.

Findings: The results of this study show that student satisfaction is the strongest predictor of sustainable university institutes. University commitment was found to lead to student satisfaction significantly. Furthermore, student satisfaction wasn’t found to play the role of mediator in the proposed model.

Practical Implications: This study aims to fulfil theoretical, research, and management implications for students, higher education institutes (HEIs), and policymakers. HEIs are recommended to instil university commitment, perceived organisational prestige and student satisfaction via various practices and amendments in their curriculum. Students are recommended to enhance their perceived employability to achieve career sustainability.

A parallel linelet preconditioner has been implemented to accelerate finite element (FE) solvers for incompressible flows when highly anisotropic meshes are used. The convergence of the standard preconditioned conjugate gradient (PCG) solver that is commonly used to solve the discrete pressure equations, greatly deteriorates due to the presence of highly distorted elements, which are of mandatory use for high Reynolds‐number flows. The linelet preconditioner notably accelerates the convergence rate of the PCG solver in such situations, saving an important amount of CPU time. Unlike other more sophisticated preconditioners, parallelization of the linelet preconditioner is almost straighforward. Numerical examples and some comparisons with other preconditioners are presented to demonstrate the performance of the proposed preconditioner.

This study aims to explore the factors that build positive leadership identities in women and reduce woman-leader identity conflict in societies with low gender equality. In doing so, it responds to calls to examine the role of “context” for women aspiring to leadership roles.

The required data were collected through semistructured interviews with 30 senior-level female leaders in the corporate sector of Pakistan and analyzed using NVivo.

Successful professional women are often facilitated by various social and organizational factors that boost their confidence and ability to view themselves positively as leaders, reducing woman-leader identity conflict. The main facilitators observed were egalitarian values practiced at home, male sponsorship in organizations and individual leadership experiences. Furthermore, the age and socio-economic status of women have also emerged as important factors contributing to the success of women leaders in Pakistani society, which is characterized by gender inequality and high power distance.

Organizations committed to developing women for leadership roles and attaining their gender diversity goals need to address the structural and psychological barriers that hinder women’s progress in the workplace. Moreover, men need to be engaged as allies to enable women’s advancement as organizational leaders.

This study highlights how culture, gender norms and significant experiences of women moderate equality lows in patriarchal societies. It aims to demonstrate that women can progress as leaders within a low gender-egalitarian culture in the presence of factors that facilitate the establishment of their identities as leaders, thus reducing identity conflict. In addition, the role that men can play in creating a supportive environment for establishing women’s leadership identities is particularly highlighted in this study.

Despite unanimity in the literature that eco-innovation (EI) leads to sustainable development, evidence remains limited on measuring EI efficiency with the Malmquist productivity index (MPI). In conventional data envelopment analysis (DEA) models, decision-making units (DMUs) are inclined to assign more favorable weights, even zero, to the inputs and outputs to maximize their own efficiency. This paper aims to overcome this shortcoming by developing a common set of weights (CSW).

Using goal programming, this study develops a CSW model to evaluate the EI efficiency of the organization for economic co-operation and development (OECD) countries and track their changes with MPI during 2010–2018.

Achieving a complete ranking of DMUs, findings show the higher discrimination power of the proposed CSW compared with the original DEA models. Furthermore, results reveal that Iceland, Latvia and Luxembourg are the only OECD countries that have incessantly improved their EI productivity (MPI > 1) from 2010 to 2018. On the other hand, Japan is the OECD country that has experienced the highest yearly EI efficiency during 2010–2018. This paper also found that Iceland has the highest MPI over 2010–2018.

More investment in environmental research and development (R&D) projects instead of generic R&D enables OECD members to realize more opportunities for sustainable development through minimizing energy use and environmental pollution in any form of waste and greenhouse gas emissions.

In addition to developing a novel common weights model for DEA-MPI to measure and evaluate the EI of OECD countries, this paper develops a CSW model by including the undesirable outputs for EI analysis.

This study aims to investigate how the situational factors that facilities managers (FMs) in Singapore face in their jobs affect their work outcomes. Job situation factors such as types of tasks, interpersonal relationships in teams, supervisors’ actions and advancements opportunities are classified into job characteristics, social environment characteristics, leadership and organisational practices categories.

Based on a systematic literature review, a questionnaire was designed to collect data on work outcomes and job situational factors from FMs working in public housing estates in Singapore. Using the Statistical Package for the Social Science software, inferential statistical analyses were carried out.

FMs reported that they used economical means and resources to carry out their work significantly frequently and achieved significantly high productivity. Complaints are received significantly frequently and maintenance defects are regularly encountered. Many of the job situational factors are present and found to be significantly correlated with work outcomes and some of these may be used to predict FMs’ work outcomes. Based on the correlation results, the frequency of complaints from residents may be reduced through the following ways: make FMs’ work tasks less challenging; reduce the variety of work tasks that FMs need to execute; reduce FMs’ work volume and speed of work.

This study is limited to FMs managing public housing estates in Singapore. The work outcomes are self-reported, and thus susceptible to bias. However, as the respondents reported significantly frequent complaints and defects, this might indicate that the bias is not serious.

FMs’ jobs should be broken down into small parts/tasks and assigned to different FMs to specialise. This makes FMs’ tasks less challenging, and allows them to specialise to increase their productivity, improve their quality of work and overcome the problem of high work volume or demanding work speed. By adopting job specialisation, the frequency of receiving complaints from residents may be reduced.

This study discovered strategies to reduce the number of complaints from residents of public housing about facilities management. The contribution to knowledge is that complaints by residents on facilities management can be reduced by adopting job specialisation but not job enlargement. Decomposing work into different tasks and allowing FMs to focus on a few tasks would lead to a reduction in complaints. It also enables FMs to master the skill and complete the tasks without much oversight or supervision.

The chapter looks for the conditions of a contribution of microcredit to poverty alleviation.

It uses socioeconomical hypotheses for defining a direct and fast positive effect of microcredit on the income of the poorest. The contribution raises ten issues or conditions at a micro, meso and macro level.

It is not often that these ten conditions are all completely met. So, the impact of microcredit is generally low as regards the alleviation of poverty. The problems to achieve them are linked to the specificities of the clients and of the prevailing institutions in various sub-Saharan Africa countries.

The chapter clearly identifies the limits of microcredit and their reasons.

The purpose of this paper is to propose a new algorithm for linear-quadratic regulator (LQR) controller of a quadrotor with fast and stable performance, which is based on pigeon-inspired optimization (PIO).

The controller is based on LQR. The determinate parameters are optimized by PIO, which is a newly proposed swarm intelligent algorithm inspired by the characteristics of homing pigeons.

The PIO-optimized LQR controller can obtain the optimized parameters and achieve stabilization in about 3 s.

The PIO-optimized LQR controller can be easily applied to the flight formation, autonomous aerial refueling (AAR) and detection of unmanned aerial vehicles, especially applied to (AAR) in this paper.

This research applies PIO to optimize the tuning parameters of LQR, which can considerably improve the fast and stabilizing performance of attitude control. The simulation results show the effectiveness of the proposed algorithm.