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Article
Publication date: 2 November 2015

Shervin Zakeri and Mohammad Ali Keramati

Supplier selection is a complex multiple criteria decision (MCDM) problem which directly depends on decision makers’ choice. Some decisions are getting involved with…

Abstract

Purpose

Supplier selection is a complex multiple criteria decision (MCDM) problem which directly depends on decision makers’ choice. Some decisions are getting involved with linguistic variables and they are not mathematically operable. To solve a typical decision problem through MCDM techniques, a number or a numerical interval should be defined. The purpose of this paper is to focus on that numerical interval and in a case of supplier selection, the aim is to close the decisions to the real number that the decision maker mentions and this number is in a numerical interval.

Design/methodology/approach

The proposed method deals with grey relational analysis (GRA) and develops it by applying triangular fuzzy numbers. The grey numbers have two defined bounds; the proposed method defines two fuzzy bounds for each grey attribute. In the proposed method, the fuzzy membership function has been employed for each bounds of grey attribute to make them to fuzzy bounds with two undefined bounds. Also to make comparison, with employing of TOPSIS technique, both of the grey fuzzy combination decision matrix and the original grey decision matrix are obtained.

Findings

The results indicate that, except to the ideal solutions, the grey relation coefficient for each alternative is too close to each other. Indeed, they are too close to zero. Applying the proposed method in problem of supplier selection shows the difference between two selected supplier in proposed method and the original grey method.

Originality/value

As mentioned heretofore this paper aims to make decision makers’s decision more accurate and actually there is no other researches which used this combination method.

Details

Grey Systems: Theory and Application, vol. 5 no. 3
Type: Research Article
ISSN: 2043-9377

Keywords

Article
Publication date: 8 August 2016

Mohammad Sheikhalishahi, Liliane Pintelon and Ali Azadeh

– The purpose of this paper is to review current literature analyzing human factors in maintenance, and areas in need of further research are suggested.

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Abstract

Purpose

The purpose of this paper is to review current literature analyzing human factors in maintenance, and areas in need of further research are suggested.

Design/methodology/approach

The review applies a novel framework for systematically categorizing human factors in maintenance into three major categories: human error/reliability calculation, workplace design/macro-ergonomics and human resource management. The framework further incorporates two well-known human factor frameworks, i.e., the Swiss Cheese model and the ergonomic domains framework.

Findings

Human factors in maintenance is a pressing problem. The framework yields important insights regarding the influence of human factors in maintenance decision making. By incorporating various approaches, a robust framework for analyzing human factors in maintenance is derived.

Originality/value

The framework assists decision makers and maintenance practitioners to evaluate the influence of human factors from different perspectives, e.g. human error, macro-ergonomics, work planning and human performance. Moreover, the review addresses an important subject in maintenance decision making more so in view of few human error reviews in maintenance literature.

Details

Journal of Quality in Maintenance Engineering, vol. 22 no. 3
Type: Research Article
ISSN: 1355-2511

Keywords

Article
Publication date: 18 October 2021

Nur Shahira Shahul Hameed, Yashar Salamzadeh, Noor Fareen Abdul Rahim and Aidin Salamzadeh

This paper aims to investigate the impact of business process reengineering on organizational performance in the Malaysian electronics manufacturing industry during the…

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Abstract

Purpose

This paper aims to investigate the impact of business process reengineering on organizational performance in the Malaysian electronics manufacturing industry during the coronavirus pandemic. It also studied the moderating effect of strategic thinking on the relationship between these two concepts.

Design/methodology/approach

Data of 103 samples are obtained from a survey of the electronics manufacturing companies listed in the Federation of Malaysia Manufacturers’ directory. Data is analysed using partial least squares structural equation modelling.

Findings

The results show that business process reengineering dimensions, i.e. top management commitment, organizational readiness for change, information technology capabilities and people management have significant positive impacts on organizational performance; whereas organizational structure and other abovementioned dimensions were found to have a much stronger impact on organizational performance whilst strategic thinking exists in the organization.

Practical implications

As the studied firms have been affected by the pandemic, the results will be useful for managers of the firms in the Malaysian electronics manufacturing industry by highlighting the dimensions of business process reengineering that can have a positive and significant impact on the organizational performance and by advising them to incorporate strategic thinking.

Originality/value

The results extend the literature on business process reengineering dimensions, which impact organizational performance by empirically testing the relationship of those dimensions on the performance, with strategic thinking as a moderating variable in Malaysian electronics manufacturing companies. From the knowledge, studying strategic thinking as a moderator in the relationship between business process reengineering and organizational performance in electronics manufacturing companies in Malaysia is unique, especially during a global crisis, i.e. the pandemic.

Details

foresight, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-6689

Keywords

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