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Article
Publication date: 4 September 2017

Qing Wang, Yadong Dou, Jiangxiong Li, Yinglin Ke, Patrick Keogh and Paul G. Maropoulos

The purpose of this paper is to present an optimal posture evaluation model to control the assembly gaps in aircraft wing assembly. The gaps between two mating surfaces should be…

560

Abstract

Purpose

The purpose of this paper is to present an optimal posture evaluation model to control the assembly gaps in aircraft wing assembly. The gaps between two mating surfaces should be strictly controlled in precision manufacturing. Oversizing of gaps will decrease the dimensional accuracy and may reduce the fatigue life of a mechanical product. To reduce the gaps and keep them within tolerance, the relative posture (orientation and position) of two components should be optimized in the assembly process.

Design/methodology/approach

Based on the step alignment strategy, i.e. preliminary alignment and refined alignment, the concept of a small posture transformation (SPT) is introduced. In the preliminary alignment, an initial posture is estimated by a set of auxiliary locating points, with which the components can be quickly aligned near each other. In the refined alignment, the assembly gaps are calculated and the formulation of the gaps with component posture is derived by the SPT. A comprehensive weighted minimization model with gap tolerance constraints is established for redistributing the gaps in multi-regions. Powell-Hestenes-Rockafellar optimization, Singular Value Decomposition and K-Dimensional tree searching are introduced for the solution of the optimal posture for localization.

Findings

Using the SPT, the trigonometric posture transformation is linearized, which benefits the iterative solution process. Through the constrained model, overall gaps are minimized and excess gaps are controlled within tolerance.

Practical implications

This method has been tested with simulated model data and real product data, the results of which have shown efficient coordination of mating components.

Originality/value

This paper proposed an optimal posture evaluation method for minimizing the gaps between mating surfaces through component adjustments. This will promote the assembly automation and variation control in aircraft wing assembly.

Details

Assembly Automation, vol. 37 no. 4
Type: Research Article
ISSN: 0144-5154

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Article
Publication date: 12 June 2017

Qi Wang, Renjing Gao, Shutian Liu and Chuan Liu

Recent development of wireless communication devices dictates that miniaturization, multi-functions and high integration are the important factors for antenna structures. This has…

233

Abstract

Purpose

Recent development of wireless communication devices dictates that miniaturization, multi-functions and high integration are the important factors for antenna structures. This has resulted in the requirement of antennas with dual or multi-frequency operations. Although the dual-band antennas can be achieved through the experience-based configuration selection with the parameter adjustment, it is still a challenging problem to design an antenna with specific dual-frequency operations effectively. The purpose of the paper is to develop an effective design method to guide the design of antennas with specific dual-frequency operations.

Design/methodology/approach

The topology optimization is carried out through the material distribution approach, where the patch of the antenna is taken as the design domain. The optimization formulation is established with maximizing the minimum antenna efficiency at the target frequencies. The sensitivity of the antenna efficiency with the design variables is derived, and the optimization problem is solved by a gradient-based algorithm.

Findings

Based on the proposed design method, an example of a patch antenna design for specific dual-frequency operations is presented. The performance of the designed antenna is cross-verified by experimentation, where the reflection coefficients (S11) obtained by simulation and experiment show a good agreement. The simulation and the experimentation of the designed antenna show that two operational bands are optimized to occur around the target frequencies, which confirms the effectiveness of the proposed design method.

Originality/value

This paper presents a topology optimization-based design method for patch antennas operating at dual specific frequencies.

Details

Multidiscipline Modeling in Materials and Structures, vol. 13 no. 1
Type: Research Article
ISSN: 1573-6105

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Book part
Publication date: 30 January 2023

Antonio Botti and Antonella Monda

The progressive increase in the size of datasets has given life to the so-called big data that provides researchers with the opportunity to extract a greater amount of useful…

Abstract

The progressive increase in the size of datasets has given life to the so-called big data that provides researchers with the opportunity to extract a greater amount of useful information in many sectors, especially in the tourism industry.

The chapter aims to demonstrate that sustainable tourism (ST) could be particularly favored by using big data and a data-driven approach. Furthermore, as ST appears in line with a new type of responsible entrepreneurship, called Humane Entrepreneurship (HumEnt), this chapter investigates the link between ST and HumEnt and the impact of big data and data-oriented approaches on ST and HumEnt.

The research adopts a qualitative approach, applying the case study technique. The authors conducted ten semi-structured interviews with key informants from a specific form of hospitality: Albergo Diffuso. Findings show the advantages of the data-driven approach to tourism and entrepreneurship highlighting how using data creates new opportunities for decision making in ST and HumEnt.

Details

Big Data and Decision-Making: Applications and Uses in the Public and Private Sector
Type: Book
ISBN: 978-1-80382-552-6

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Article
Publication date: 24 August 2020

YuBo Sun, Juliang Xiao, Haitao Liu, Tian Huang and Guodong Wang

The purpose of this paper is to accurately obtain the deformation of a hybrid robot and rapidly enable real-time compensation in friction stir welding (FSW). In this paper, a…

328

Abstract

Purpose

The purpose of this paper is to accurately obtain the deformation of a hybrid robot and rapidly enable real-time compensation in friction stir welding (FSW). In this paper, a prediction algorithm based on the back-propagation neural network (BPNN) optimized by the adaptive genetic algorithm (GA) is presented.

Design/methodology/approach

Via the algorithm, the deformations of a five-degree-of-freedom (5-DOF) hybrid robot TriMule800 at a limited number of positions are taken as the training set. The current position of the robot and the axial force it is subjected to are used as the input; the deformation of the robot is taken as the output to construct a BPNN; and an adaptive GA is adopted to optimize the weights and thresholds of the BPNN.

Findings

This algorithm can quickly predict the deformation of a robot at any point in the workspace. In this study, a force-deformation experiment bench is built, and the experiment proves that the correspondence between the simulated and actual deformations is as high as 98%; therefore, the simulation data can be used as the actual deformation. Finally, 40 sets of data are taken as examples for the prediction, the errors of predicted and simulated deformations are calculated and the accuracy of the prediction algorithm is verified.

Practical implications

The entire algorithm is verified by the laboratory-developed 5-DOF hybrid robot, and it can be applied to other hybrid robots as well.

Originality/value

Robots have been widely used in FSW. Traditional series robots cannot bear the large axial force during welding, and the deformation of the robot will affect the machining quality. In some research studies, hybrid robots have been used in FSW. However, the deformation of a hybrid robot in thick-plate welding applications cannot be ignored. Presently, there is no research on the deformation of hybrid robots in FSW, let alone the analysis and prediction of their deformation. This research provides a feasible methodology for analysing the deformation and compensation of hybrid robots in FSW. This makes it possible to calculate the deformation of the hybrid robot in FSW without external sensors.

Details

Industrial Robot: the international journal of robotics research and application, vol. 47 no. 6
Type: Research Article
ISSN: 0143-991X

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Article
Publication date: 30 September 2021

Narender Kumar, Girish Kumar and Rajesh Kr Singh

The study presents various barriers to adopt big data analytics (BDA) for sustainable manufacturing operations (SMOs) post-coronavirus disease (COVID-19) pandemics. In this study…

958

Abstract

Purpose

The study presents various barriers to adopt big data analytics (BDA) for sustainable manufacturing operations (SMOs) post-coronavirus disease (COVID-19) pandemics. In this study, 17 barriers are identified through extensive literature review and experts’ opinions for investing in BDA implementation. A questionnaire-based survey is conducted to collect responses from experts. The identified barriers are grouped into three categories with the help of factor analysis. These are organizational barriers, data management barriers and human barriers. For the quantification of barriers, the graph theory matrix approach (GTMA) is applied.

Design/methodology/approach

The study presents various barriers to adopt BDA for the SMOs post-COVID-19 pandemic. In this study, 17 barriers are identified through extensive literature review and experts’ opinions for investing in BDA implementation. A questionnaire-based survey is conducted to collect responses from experts. The identified barriers are grouped into three categories with the help of factor analysis. These are organizational barriers, data management barriers and human barriers. For the quantification of barriers, the GTMA is applied.

Findings

The study identifies barriers to investment in BDA implementation. It categorizes the barriers based on factor analysis and computes the intensity for each category of a barrier for BDA investment for SMOs. It is observed that the organizational barriers have the highest intensity whereas the human barriers have the smallest intensity.

Practical implications

This study may help organizations to take strategic decisions for investing in BDA applications for achieving one of the sustainable development goals. Organizations should prioritize their efforts first to counter the barriers under the category of organizational barriers followed by barriers in data management and human barriers.

Originality/value

The novelty of this paper is that barriers to BDA investment for SMOs in the context of Indian manufacturing organizations have been analyzed. The findings of the study will assist the professionals and practitioners in formulating policies based on the actual nature and intensity of the barriers.

Details

Journal of Enterprise Information Management, vol. 35 no. 1
Type: Research Article
ISSN: 1741-0398

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Article
Publication date: 12 July 2021

Muhammad Iqmal Hisham Kamaruddin, Sofiah Md Auzair, Mohd Mohid Rahmat and Nurul Aini Muhamed

The purpose of this study is to examine the role of financial governance practices in influencing both financial management and Islamic work ethic practices to affect Islamic…

1499

Abstract

Purpose

The purpose of this study is to examine the role of financial governance practices in influencing both financial management and Islamic work ethic practices to affect Islamic social enterprises (ISEs) accountability.

Design/methodology/approach

Questionnaires were administered to financial officers of 102 Malaysian ISEs. Data was analysed using Smart-PLS to examine the relationships between financial management, Islamic work ethic, financial governance and accountability.

Findings

Results of this study indicate direct relationship only exist between Islamic work ethic and accountability. The relationship between financial management and accountability are indirect through financial governance. Hence, the data proves that financial governance has a mediating role on both the relationships between financial management and Islamic work ethic with the accountability of the ISEs.

Research limitations/implications

The study has highlighted the greater role of financial management, Islamic work ethic and financial governance practices over accountability to achieve public trust, especially for Malaysian ISEs.

Practical implications

ISEs need to have good financial governance practices besides financial management and Islamic work ethic practices to achieve good accountability.

Originality/value

The study contributes to the field of management and social accounting by providing empirical evidence on the ISEs practices specifically on financial management, Islamic work ethic, financial governance and accountability. This framework thus presents amongst the first attempts in studying accountability issues in ISEs.

Details

Social Enterprise Journal, vol. 17 no. 3
Type: Research Article
ISSN: 1750-8614

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Book part
Publication date: 16 September 2022

Amina Mohamed Buallay

This chapter discusses and investigates the sustainability reporting across different sectors. The first section discusses and investigates the relationship between sustainability…

Abstract

This chapter discusses and investigates the sustainability reporting across different sectors. The first section discusses and investigates the relationship between sustainability reporting and primary sector's performance (Agriculture and Food Industries Sector and Energy Sector). The second section discusses and investigates the relationship between sustainability reporting and secondary sector's performance (Manufacturing Sector). The final section discusses and investigates the relationship between sustainability reporting and tertiary sector's performance (Banks and Financial Services Sector, Retail Sector, Telecommunication and Information Technology Sector, and Tourism Sector).

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Book part
Publication date: 10 April 2023

Siphiwe Zungu, Nicole Kandaswami, Taliya Gunpath, Naseeba Limalia, Tahlia Reddy, Divania Govender, Hilary T. Muguto and Paul-Francois Muzindutsi

This study examined the effect of good stewardship on agency costs and firm performance. The panel data analysis with the Panel Corrected Standard Errors (PCSEs) estimator was…

Abstract

This study examined the effect of good stewardship on agency costs and firm performance. The panel data analysis with the Panel Corrected Standard Errors (PCSEs) estimator was employed to analyze the effect of good stewardship on agency cost and the impact of good stewardship on the performance of 37 South African firms from 2007 to 2016. The findings of this study reveal that good stewardship has a significant positive effect on agency costs as well as firm performance, implying that the promotion of good stewardship should be accompanied by suitable strategies to manage additional agency costs.

Details

Comparative Analysis of Trade and Finance in Emerging Economies
Type: Book
ISBN: 978-1-80455-758-7

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Article
Publication date: 28 January 2025

Rashed Al Karim, Ummea Jebunnesa and Md Karim Rabiul

This study aims to examine how perceived supervisor and organizational support mediate the association between talent management and work engagement in Bangladesh’s manufacturing…

43

Abstract

Purpose

This study aims to examine how perceived supervisor and organizational support mediate the association between talent management and work engagement in Bangladesh’s manufacturing industry. It also analyzes the association between work engagement and sustainable organizational performance.

Design/methodology/approach

A structured survey questionnaire was used to collect data from 385 employees working in the manufacturing industry in the Chattogram division, applying a convenience sampling approach. Data was assessed using SmartPLS software.

Findings

The key findings are that perceived supervisor and organizational support mediate the relationship between talent management practices and work engagement. Moreover, work engagement positively influences an organization’s sustainable performance.

Practical implications

This study adds knowledge to the existing literature on talent management, work engagement and sustainable organizational performance. The findings may improve employee work engagement through talent management practices in Bangladesh’s manufacturing industry.

Originality/value

This study is one of the few in the Bangladeshi manufacturing industry that provides an extensive overview of talent management practices and work engagement, using perceived supervisor and organizational support as mediating variables.

Details

Global Knowledge, Memory and Communication, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9342

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Article
Publication date: 17 March 2022

Sabra Munir, Siti Zaleha Abdul Rasid, Muhammad Aamir, Farrukh Jamil and Ishfaq Ahmed

This paper aims to assess the impact of big data analytics capabilities (BDAC) on organizational innovation performance through process-oriented dynamic capabilities (PODC), as a…

2243

Abstract

Purpose

This paper aims to assess the impact of big data analytics capabilities (BDAC) on organizational innovation performance through process-oriented dynamic capabilities (PODC), as a mediator, as well as the moderating roles of organizational culture (OC) and management accountants, in this artificial intelligence (AI) era. This paper also aims to provide information on the emerging trends and implications of the abovementioned relationships by focusing on these relationships and interactions.

Design/methodology/approach

This exploratory study used the close-ended questionnaire approach based on the resource-based view and socio-materiality theories. This included sending questionnaires to top-level management, including Chief Financial Officer/Chief Executive Officers/Chief Information Officers (CFO/CEOs/CIOs), having an in-depth understanding of the concepts, practical applications and usage of big data as well as BDAC.181 valid questionnaire-based responses were analyzed using the partial least square structural equation modelling technique and bootstrapping moderated mediation method.

Findings

This study provides empirical insights into how BDAC impact innovative performance through PODC as well as the moderating effects of OC and management accountants. This involves a shift in focus from almost standardized approaches to developing BDAC without contextual focus on approaches that are much more heterogeneously related to each organization and hence are more focused on the context of the pharmaceutical industry.

Research limitations/implications

The main aim of key research questions in this study is to increase the contributions of BDAC toward improving innovation performance in the presence of the abovementioned variables and relationships that exist between them. The chosen research approach can be improved by carrying out interviews with the top management to obtain more relevant and detailed information for developing a better understanding of the abovementioned relationships.

Practical implications

This study outlines how organizations that are developing BDAC approaches can focus on relevant factors and variables to help their initiatives and its role in organizational innovative performance. This will also help them develop sustainable competitive advantage in manufacturing concerns, specifically in the health industry, namely, the pharmaceutical industry.

Originality/value

This study investigated the effects and implications of big data on organizations in the AI era that aim to achieve innovation performance. At the same time, it provides an original understanding of the contextual importance of investing in BDAC development. It also considers the role of management accountants as a bridge between data scientists and business managers in a big data environment, especially in the pharmaceutical industry. The current study used first-time data from surveys involving CFOs, CEOs or CIOs of pharmaceutical companies in Pakistan and analyzed the proposed model using bootstrapping moderated mediation analysis.

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