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Open Access
Article
Publication date: 6 August 2024

Rabia Hassan, Zeeshan Ahmad Arfeen, Mehreen Kausar Azam, Zain ul Abiden Akhtar, Abubakar Siddique and Muhammad Rashid

Material selection, driven by wide and often conflicting objectives, is an important, sometimes difficult problem in material engineering. In this context, multi-criteria…

Abstract

Purpose

Material selection, driven by wide and often conflicting objectives, is an important, sometimes difficult problem in material engineering. In this context, multi-criteria decision-making (MCDM) methodologies are effective. An approach of MCDM is needed to cater to criteria of material assortment simultaneously. More firms are now concerned about increasing their productivity using mathematical tools. To occupy a gap in the previous literature this research recommends an integrated MCDM and mathematical Bi-objective model for the selection of material. In addition, by using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), the inherent ambiguities of decision-makers in paired evaluations are considered in this research. It goes on to construct a mathematical bi-objective model for determining the best item to purchase.

Design/methodology/approach

The entropy perspective is implemented in this paper to evaluate the weight parameters, while the TOPSIS technique is used to determine the best and worst intermediate pipe materials for automotive exhaust system. The intermediate pipes are used to join the components of the exhaust systems. The materials usually used to manufacture intermediate pipe are SUS 436LM, SUS 430, SUS 304, SUS 436L, SUH 409 L, SUS 441 L and SUS 439L. These seven materials are evaluated based on tensile strength (TS), hardness (H), elongation (E), yield strength (YS) and cost (C). A hybrid methodology combining entropy-based criteria weighting, with the TOPSIS for alternative ranking, is pursued to identify the optimal design material for an engineered application in this paper. This study aims to help while filling the information gap in selecting the most suitable material for use in the exhaust intermediate pipes. After that, the authors searched for and considered eight materials and evaluated them on the following five criteria: (1) TS, (2) YS, (3) H, (4) E and (5) C. The first two criteria have been chosen because they can have a lot of influence on the behavior of the exhaust intermediate pipes, on their performance and on the cost. In this structure, the weights of the criteria are calculated objectively through the entropy method in order to have an unbiased assessment. This essentially measures the quantity of information each criterion contribution, indicating the relative importance of these criteria better. Subsequently, the materials were ranked using the TOPSIS method in terms of their relative performance by measuring each material from an ideal solution to determine the best alternative. The results show that SUS 309, SUS 432L and SUS 436 LM are the first three materials that the exhaust intermediate pipe optimal design should consider.

Findings

The material matrix of the decision presented in Table 3 was normalized through Equation 5, as shown in Table 5, and the matrix was multiplied with weighting criteria ß_j. The obtained weighted normalized matrix V_ij is presented in Table 6. However, the ideal, worst and best value was ascertained by employing Equation 7. This study is based on the selection of material for the development of intermediate pipe using MCDM, and it involves four basic stages, i.e. method of translation criteria, screening process, method of ranking and search for methods. The selection was done through the TOPSIS method, and the criteria weight was obtained by the entropy method. The result showed that the top three materials are SUS 309, SUS 432L and SUS 436 LM, respectively. For the future work, it is suggested to select more alternatives and criteria. The comparison can also be done by using different MCDM techniques like and Choice Expressing Reality (ELECTRE), Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE).

Originality/value

The results provide important conclusions for material selection in this targeted application, verifying the employment of mutual entropy-TOPSIS methodology for a series of difficult engineering decisions in material engineering concepts that combine superior capacity with better performance as well as cost-efficiency in various engineering design.

Details

Railway Sciences, vol. 3 no. 5
Type: Research Article
ISSN: 2755-0907

Keywords

Open Access
Article
Publication date: 18 May 2021

Praveen Kulkarni, Arun Kumar, Ganesh Chate and Padma Dandannavar

This study aims to examine factors that determine the adoption of additive manufacturing by small- and medium-sized industries. It provides insights with regard to benefits…

3189

Abstract

Purpose

This study aims to examine factors that determine the adoption of additive manufacturing by small- and medium-sized industries. It provides insights with regard to benefits, challenges and business factors that influence small- and medium-sized industries when adopting this technology. The study also aims to expand the domain of additive manufacturing by including a broader range of challenges and benefits of additive manufacturing in literature.

Design/methodology/approach

Using data collected from 175 small- and medium-sized industries, the study has examined through Mann–Whitney test to understand the difference between owners and design engineers on additive manufacturing technology adoption in small- and medium-sized companies.

Findings

This study suggests contribution to academic discussion by providing associated factors that have significant impact on the adoption of additive manufacturing technology. Related advantages of additive manufacturing are reduction in inventory cost, lowering the wastage in production and customization of products. The study also indicates that factors such as cost of machinery, higher level of cost in integrating metal components have a negative impact on the adoption of this technology in small- and medium-sized industries.

Research limitations/implications

Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further in the field of challenges and growth in other areas of application of additive manufacturing, for instance, medical sciences, fabric and aerospace.

Practical implications

The study provides important implications that are of interest for both research and practitioners, related to technology management in small- and medium-sized industries, e.g. foundry and machining industries.

Social implications

This work/study fulfills an identified need of the small- and medium-sized companies in adopting new technologies and contribute to their growth by understanding the need to accept and implement technology.

Originality/value

This paper fulfills an identified need to study how small- and medium-scale companies accept new technologies and factors associated with implementation in the manufacturing process of the organization.

Details

Innovation & Management Review, vol. 18 no. 4
Type: Research Article
ISSN: 2515-8961

Keywords

Content available
Book part
Publication date: 19 December 2016

Radha R. Sharma and Sir Cary Cooper

Abstract

Details

Executive Burnout
Type: Book
ISBN: 978-1-78635-285-9

Content available
Book part
Publication date: 5 May 2021

Jose Joy Thoppan, M. Punniyamoorthy, K. Ganesh and Sanjay Mohapatra

Abstract

Details

Developing an Effective Model for Detecting Trade-based Market Manipulation
Type: Book
ISBN: 978-1-80117-397-1

Content available

Abstract

Details

Organizational Culture and Its Impact on Continuous Improvement in Manufacturing
Type: Book
ISBN: 978-1-80262-404-5

Content available
Book part
Publication date: 8 April 2024

Amaresh Panda and Sanjay Mohapatra

Abstract

Details

The Online Healthcare Community
Type: Book
ISBN: 978-1-83549-141-6

Content available
Book part
Publication date: 14 February 2022

Satya Banerjee, Sanjay Mohapatra and M. Bharati

Abstract

Details

AI in Fashion Industry
Type: Book
ISBN: 978-1-80262-633-9

Open Access
Article
Publication date: 25 September 2023

Sutap Kumar Ghosh

This research mainly intends to ascertain the stimulus of investor investment tendencies on the amount of capital investment in the share market.

Abstract

Purpose

This research mainly intends to ascertain the stimulus of investor investment tendencies on the amount of capital investment in the share market.

Design/methodology/approach

Utilizing a sample of 477 individual investors who actively trade on the Bangladesh capital market, this empirical study was conducted. The objective of this examination is to ascertain the investment trading behavior of retail investors in the Bangladesh capital market using multiple regression, hypothesis testing and correlation analysis.

Findings

The coefficients of market categories, preferred share price ranges and investment source reveal negative predictor correlations; all predictors are statistically significant, with the exception of investment source. Positive predictive correlations exist between investor category, financial literacy degree, investment duration, emotional tolerance level, risk consideration, investment monitoring activities, internal sentiment and correct investment selection. Except for risk consideration and investment monitoring activities, all components have statistically significant predictions. The quantity of capital invested in the stock market is heavily influenced by the investment duration, preferred share price ranges, investor type, emotional toleration level and decision-making accuracy level.

Research limitations/implications

This investigation was conducted exclusively with Bangladeshi individual stockholders. Therefore, the existing study can be extended to institutional investors and conceivably to other divisions. It is possible to conduct this similar study internationally. And the query can enlarge with more sample size and use a more sophisticated econometric model. Despite that the outcomes of this study help the regulatory authorities to arrange more informative seminars and consciousness programs.

Practical implications

The conclusions have practical implications since they empower investors to modify their portfolios based on elements including share price ranges, investment horizons and emotional stability. To improve chances of success and reach financial objectives, they stress the significance of bettering financial understanding, active monitoring and risk analysis. Results can also be enhanced by distributing ownership over a number of market sectors and price points. The results highlight the value of patience and giving potential returns enough time.

Originality/value

This study on the trading behavior of investors in Bangladesh is unique and based on field study, and the findings of this study will deliver information to the stakeholders of the capital market regarding the investors’ trading behavior belonging to different categories, financial literacy level, investment duration, emotional tolerance level and internal feeling.

Details

LBS Journal of Management & Research, vol. 21 no. 2
Type: Research Article
ISSN: 0972-8031

Keywords

Open Access
Article
Publication date: 16 January 2024

Abdelhamid K. Abdelmaaboud, Ana Isabel Polo Peña and Abeer A. Mahrous

This study introduces three variables related to brands that have the potential to enhance university students' advocacy intentions. The research explores how university brand…

Abstract

Purpose

This study introduces three variables related to brands that have the potential to enhance university students' advocacy intentions. The research explores how university brand identification, the perceived prestige of the university brand and the social benefits associated with the university brand impact students' advocacy intentions. Additionally, the study examines the moderating role of gender in these relationships.

Design/methodology/approach

Cross-sectional surveys of 326 undergraduate students enrolled in a Spanish university, and structural equation modeling was used to test and validate the conceptual model.

Findings

The findings from the structural equation modeling indicate that university brand identification, perceived university brand prestige and university brand social benefits significantly influence students' advocacy intentions. Furthermore, the multigroup analysis reveals a gender difference in the factors influencing advocacy intentions. Female students demonstrate significance in all three antecedents, whereas male students only show significance in university brand identification and perceived university brand prestige.

Practical implications

The current study's findings provide several insights for higher education institutions in developing enduring and committed relationships with their students.

Originality/value

This study offers relevant insights into the body of research on university branding, explaining the students' advocacy intentions through the variables of university brand identification, perceived university brand prestige and university brand social benefits. Also, this study is a novelty in introducing empirical evidence for the importance of the moderating role of students' gender.

Details

Journal of Humanities and Applied Social Sciences, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2632-279X

Keywords

Content available
Book part
Publication date: 8 June 2021

Alessandro Laureani and Jiju Antony

Abstract

Details

Leading Lean Six Sigma
Type: Book
ISBN: 978-1-80071-065-8

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