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Article
Publication date: 12 December 2023

M.S. Narassima, V. Aashrith, C. Aldo Ronald, S.P. Anbuudayasankar and M. Thenarasu

The textile industry contributes 2 and 3% to the global and Indian Gross Domestic Product (GDP), respectively. India supplies a quarter of global cotton yarn. Yet, most yarn…

Abstract

Purpose

The textile industry contributes 2 and 3% to the global and Indian Gross Domestic Product (GDP), respectively. India supplies a quarter of global cotton yarn. Yet, most yarn manufacturing companies use outdated methods and lack organisational skills and strategies. Improvement in processes in India could significantly help the industry worldwide.

Design/methodology/approach

The variables that influence the performance of the system were identified. Their interrelationships and impact were identified from the employees in the chosen case study, a yarn manufacturing industry. A System Dynamics (SD) approach was employed to study the benefits of implementing 5S lean strategies. The impact of each variable on various performance measures such as throughput, Work In Progress, processing time, waiting time, idle time, over-processing and scraps was analysed.

Findings

Improvement in outcomes reflected an enhanced adoption of leanness in the industry. The decision-makers can utilise this study to optimise the necessary parameters in the system and attain the desired productivity levels. Better resource management and reduced processing time helped increase the despatch rate by 9.735% and decrease the WIP by 23.01%. Time management helped to reduce the inventory, idle time and waiting time. Over-processing, defects and scraps were minimised, indicating a shift towards lean.

Research limitations/implications

This study pioneers the use of SD simulation models for optimising yarn manufacturing using lean strategies. Improvement in performance measures by integrating these strategies opens avenues for future research using multiple approaches to address a problem.

Practical implications

Implementing 5S lean principles and simulations enhances productivity, reduces waste and optimises resource management for the yarn manufacturing industry. Decision-makers can employ simulation to witness the outcomes of their changes without investing cost and time and without associated implementation risks.

Originality/value

The use of a simulation model to witness the benefits of incorporating lean strategies in yarn production has not been explored. This approach could help the managers and policymakers understand their existing system's shortcomings and critical areas that require improvement.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 16 May 2023

Naila Fares, Jaime Lloret, Vikas Kumar, Guilherme F. Frederico and Oulaid Kamach

The purpose of the study is to propose a framework for fleet management and make suitable distribution solution choices in the food industry.

Abstract

Purpose

The purpose of the study is to propose a framework for fleet management and make suitable distribution solution choices in the food industry.

Design/methodology/approach

This study reviews the literature to examine food distribution criteria. These criteria are used in the analytic hierarchy process (AHP) assessment and combined with discrete events simulation in a structured framework, which is validated through an empirical study.

Findings

The empirical case results demonstrate that both the AHP and discrete events simulation converge toward the same solution in most cases.

Originality/value

This study contributes to the literature on distribution management and develops a framework that can both guide future research and aid logistics practitioners in analysing distribution decision-making systems in dynamic environments.

Details

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

Keywords

Article
Publication date: 7 April 2015

Ahmed Al Kuwaiti and Arun Vijay Subbarayalu

– The purpose of this paper was to examine the perceptions of students of health sciences on research training programs offered at Saudi universities.

Abstract

Purpose

The purpose of this paper was to examine the perceptions of students of health sciences on research training programs offered at Saudi universities.

Design/methodology/approach

A cross-sectional survey design was adopted to capture the perceptions of health science students about research training programs offered at selected Saudi universities. A criterion-based sampling technique was adopted, and accordingly, 630 students were selected to participate in the study. A pre-tested questionnaire tool titled, “Students Attitude towards Research (SAR) questionnaire ”, was used to capture student responses on a five-point Likert scale with respect to three dimensions, namely, extent of research activities offered in their college, involvement of faculty in research and the infrastructural facilities offered by the college for research. The students’ attitudes with respect to various components of research training programs were analyzed using mean and cumulative percentage of students satisfied with the training. Multivariate analysis of variance (MANOVA) was used to study whether there is any significant difference in attitudes among the students belonging to four health science programs of the seven selected universities.

Findings

The results of this study demonstrate that only less than 50 per cent of the students from the selected health science colleges are satisfied with the existing research training programs. There are significant differences in the students’ attitude toward research training programs offered in seven selected Saudi universities.

Originality/value

This is the first Saudi Arabia-based study that provides an alarming signal to educational-policy planners on students’ perceptions and attitudes toward research training programs offered in Saudi higher education institutions.

Details

Quality Assurance in Education, vol. 23 no. 2
Type: Research Article
ISSN: 0968-4883

Keywords

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