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Article

Rohit Kumar Singh and Sachin Modgil

This paper aims to evaluate and prioritize the key supplier selection indicators and to establish the relationship between available alternatives and selected indicators…

Abstract

Purpose

This paper aims to evaluate and prioritize the key supplier selection indicators and to establish the relationship between available alternatives and selected indicators by using step-wise weight assessment ratio analysis (SWARA) and weighted aggregated sum product assessment (WASPAS).

Design/methodology/approach

Authors have extracted the supplier selection criteria from literature and used a combined SWARA-WASPAS method to evaluate and rank the criteria’s. SWARA is applied for evaluating and weighting selection criteria, whereas WASPAS helped in evaluating different available alternatives based on supplier selection indicators.

Findings

Finding from SWARA suggests that supplier management is the high weighted criteria followed by information sharing and joint actions. WASPAS was used to evaluate the available alternatives and supplier A1 got the highest priority. Additionally, sensitivity analysis indicates the different scenarios for the best supplier selection.

Practical implications

Working executives can use the SWARA for assessment of weights of finalized indicators for their firm in the cement industry. Further, the calculated weights can be used for product and sum weightage through WASPAS to finalize the best supplier.

Originality/value

The originality of the manuscript lies in the sector and methodology. Author(s) applied the SWARA and WASPAS method for supplier selection in the Indian cement industry that will help working executives to evaluate their supply chain partners.

Details

Measuring Business Excellence, vol. 24 no. 2
Type: Research Article
ISSN: 1368-3047

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Article

Melfi Alrasheedi, Abbas Mardani, Arunodaya Raj Mishra, Pratibha Rani and Nanthakumar Loganathan

The purpose of this study to introduce a new extended framework to evaluate and rank the sustainable suppliers based on the different sustainable criteria in the…

Abstract

Purpose

The purpose of this study to introduce a new extended framework to evaluate and rank the sustainable suppliers based on the different sustainable criteria in the manufacturing companies using a new fuzzy decision-making approach.

Design/methodology/approach

This paper introduces a new approach using decision-making and Pythagorean fuzzy sets (PFSs) to assess the best sustainable supplier. To doing so, this study integrated the entropy, stepwise weight assessment ratio analysis (SWARA) and weighted aggregates sum product assessment (WASPAS) methods under PFSs. To calculate the criteria weights, the combined entropy-SWARA method is used to compute the objective weight and subjective weight, respectively. Furthermore, the WASPAS model is utilized to rank sustainable supplier alternatives.

Findings

The results of the analysis found that occupational health and safety systems had the highest rank among other criteria, followed by green product and eco-design, green R&D and innovation and green technology. In addition, the findings of the paper demonstrated that the extended approach was efficient and useful for selecting and evaluating the best sustainable supplier in the manufacturing companies.

Originality/value

Recent years have witnessed a number of studies aimed at incorporating the sustainability standards into the supplier selection problem; however, only a little research has been conducted on developing a fuzzy method for decision-making in a manner to assess and choose suppliers with high sustainability in the insurance market, encompassing the three above-mentioned sustainability criteria.

Details

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

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Book part

Burcu İşgüden Kiliç, Özlem Kuvat and Engin Boztepe

Country and company bankruptcies at international level have put the economies of the world and countries in a difficult position. As a result of these negative…

Abstract

Country and company bankruptcies at international level have put the economies of the world and countries in a difficult position. As a result of these negative developments, the measurement of the effectiveness of internal audits system together with accounting and audits have become important. The unit that plays a key role in measuring the effectiveness of internal control, whether in the private or public sector, is internal audit. In this respect, the purpose of the present study was to outline the criteria that increase the effectiveness of internal audit in public institutions. For this purpose, the SWARA Method was used. The SWARA Method is a multi-criterion decision-making method that is employed by decision-makers to determine the weights of the criteria and to sort them out. The Questionnaire of the study was applied to a participant group that consisted of 11 experts. According to the findings, the criteria that had the highest importance were “the presence of an independent internal audit activity and impartial internal auditors,” “Performing internal audit activities in line with ethical rules, standards, and relevant regulations,” and “Determining the risks regarding the objectives and the purpose of the institution, and measuring the effects of these risks.”

Details

Contemporary Issues in Public Sector Accounting and Auditing
Type: Book
ISBN: 978-1-83909-508-5

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Article

Mohammad Khalilzadeh, Peiman Ghasemi, Ahmadreza Afrasiabi and Hedieh Shakeri

The purpose of this study is to present a new failure mode and effects analysis (FMEA) approach based on fuzzy multi-criteria decision-making (MCDM) methods and…

Abstract

Purpose

The purpose of this study is to present a new failure mode and effects analysis (FMEA) approach based on fuzzy multi-criteria decision-making (MCDM) methods and multi-objective programming model for risk assessment in the planning phase of the oil and gas construction projects (OGCP) in Iran.

Design/methodology/approach

This research contains multiple steps. First, 19 major potential health and safety executive (HSE) risks in OGCP were classified into six categories with the Delphi method. These factors were distinguished by the review of project documentation, checklist analysis and consulting with experts. Then, using the fuzzy SWARA method, the authors calculated the weights of major HSE risks. Subsequently, FMEA and PROMETHEE approaches were used to identify the priority of main risk factors. Eventually, a binary multi-objective linear programming approach was developed to select the risk response strategies, and an augmented e-constraint method (AECM) was used.

Findings

Regarding the project triple well-known constraints of time, cost and quality, which organizations usually confront, the HSE risks of OGCP were identified and prioritized. Also, the appropriate risk response strategies were also suggested to the managers to be adopted regarding the situations.

Originality/value

The present research points at the HSE risks’ assessment integrating the fuzzy FMEA, step-wise weight assessment ratio analysis and PROMETHEE techniques with the AECM. Further to the authors’ knowledge, the quantitative assessment of the HSE risks of OGCP has not been done using the combination of the fuzzy FMEA, MCDM and AECMs.

Details

Journal of Modelling in Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-5664

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Article

Mohammad Reza Moniri, Akbar Alem Tabriz, Ashkan Ayough and Mostafa Zandieh

The purpose of this paper is to propose a new framework for assessing the risks of turnaround projects in upstream oil process plants.

Abstract

Purpose

The purpose of this paper is to propose a new framework for assessing the risks of turnaround projects in upstream oil process plants.

Design/methodology/approach

This study represents a new hybrid framework for turnaround project risk assessment. First, according to experts’ opinions, the project risks were identified using interviews and brainstorming. The most important risks selected by experts and a hybrid multiple-attribute decision-making (MADM) method used to assess and prioritize them. The proposed MADM method uses fuzzy step-wise weight assessment ratio analysis (SWARA) and fuzzy evaluation based on distance from average solution (EDAS) methods based on trapezoidal fuzzy numbers.

Findings

In this research, 28 usual risks of turnaround projects are identified and 10 risks are then selected as the most important ones. The findings show, that among the risks of upstream oil industry turnaround projects from the perspective of experts, the risk of timely financing by the employer, with an appraisal score of 0.83, has the highest rank among the risks and the risk of machine and equipment failure during operation, with an appraisal score of 0.04, has the lowest rank.

Research limitations/implications

The risk analysis based on inputs collected from the experts in the Iranian upstream oil industry, and so the generalization of the results is limited to the context of developing countries, especially oil producer ones. However, the proposed risk analysis methodology and key insights developed can be useful for researchers and practitioners in any other process industry everywhere.

Originality/value

A novel framework for risk assessment is introduced for turnaround projects in the oil industry using MADM methods. There is no literature on using MADM methods for turnaround project risk analysis in the oil and gas industries. Furthermore, this paper presents a hybrid fuzzy method based on SWARA and EDAS.

Details

Journal of Engineering, Design and Technology , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1726-0531

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Article

Manu Sharma and Sudhanshu Joshi

The geographical scattering of physical facilities in conventional supply chains enforces firms to shift toward digital supply chains (DSCs). While switching to DSCs, the…

Abstract

Purpose

The geographical scattering of physical facilities in conventional supply chains enforces firms to shift toward digital supply chains (DSCs). While switching to DSCs, the decision-making becomes more complex with an upsurge in the size of the manufacturing firms. The manufacturing firms need to develop supply chain quality management (SCQM) systems to improvise their processes for delivering advance products and services. For developing SCQM, the role of the digital supplier is significant, as they may recuperate the quality management systems (QMS) for enhancing the firm's performance. The purpose of this paper is to explore the factors that affect the selection of digital suppliers. The other purpose is to evaluate the alternatives for identifying the best supplier that enhances the QMS for DSCs.

Design/methodology/approach

The decision-making is complex for digital supplier selection (DSS) and thus, the study has utilized integrated SWARA-WASPAS methods for their critical evaluation. The stepwise weight assessment ratio analysis (SWARA) method has been utilized for identifying the weightage of factors and weighted aggregated sum product assessment (WASPAS) for assessing the digital suppliers to explore the best alternative. The integrated SWARA-WASPAS method is the most advance approach in multi-criteria decision-making (MCDM) for the evaluation of the factors.

Findings

The study reveals that supplier competency is the most significant factor in selecting digital supplier in DSC that may improve the product and service quality. The study also explores that manufacturing firms needs an efficient system for developing value for the internal and external partners that help them to cope up with the dynamic world. On the basis of the WASPAS results, supplier S8 has been ranked as the best supplier who has highest competency in the form of responsiveness, resilience, sustainable practices and digital innovation.

Research limitations/implications

The factors are assessed on the decision team of experts that may be biased and thus, the research may further be validated through empirical studies. The research has to be extended in other nations for exploring how organizations and customers are responding to the DSCs.

Practical implications

The study has given insights to the manufacturing firms to consider the crucial factors for DSS, as it affects the overall performance of the organizations. The decision makers of manufacturing organizations should consider the factors such as supplier competency, digital innovation and information sharing for value creation that may provide them better opportunities for developing their DSCs along with their digital suppliers to connect with stakeholders appropriately.

Social implications

The improved SCQM aligned with DSS will offer quality products that are sustainable and provide social and economic benefits to the society. The DSS will be able to provide improvisation of the existing products and services for developing a sustainable value chains for the manufacturing organizations. This process will bring more transparency, viability and sustainability in the product and services. As a result, the DSC partners will be more transparent, viable and resilient.

Originality/value

The research on DSS and its importance in enhancing QMS is limited. This research is the novel approach to understand the criteria behind the selection of the digital suppliers’ role and their presence in enhancing the quality of products and services.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

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Article

G. Nilay Yücenur and Anıl Sezer Subaşı

The purpose of this study is to select the most appropriate city in Turkey for space shuttle launching ramp.

Abstract

Purpose

The purpose of this study is to select the most appropriate city in Turkey for space shuttle launching ramp.

Design/methodology/approach

In the proposed approach, an integrated methodology is used. The SWARA method is used in the first phase of the solution for determining criteria’s importance weights. Based on the criteria weights obtained by the SWARA method, the WASPAS method is used for selecting the best alternative.

Findings

Mugla is selected for the most suitable city for the first space shuttle launching pad according to determined criteria and proposed model.

Research limitations/implications

Although there are 81 cities in Turkey, 4 alternatives were selected for evaluation. It is possible to eliminate this limitation by the future studies with the implementation of proposed model to entire of Turkey.

Practical implications

This proposed model can be used by the countries which want to have a new or first space shuttle launching ramp in the world.

Originality/value

Although some climatic conditions are pointed out on the location of the space shuttle launching ramp, in literature, there is not a comprehensive and detailed evaluation example as much as the model proposed in this study. Therefore, this study is the first in terms of the proposed model and applied techniques in the sectoral sense. In addition, the study is also a guide for solving the original model which is revealed in the selection of the most suitable alternative city for space shuttle launching ramp by different multi-criteria decision-making methods.

Details

Aircraft Engineering and Aerospace Technology, vol. 91 no. 7
Type: Research Article
ISSN: 1748-8842

Keywords

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Article

Amir Karbassi Yazdi, Thomas Hanne and Juan Carlos Osorio Gómez

The aim of this paper is to find and prioritise multiple critical success factors (CSFs) for the implementation of LSS in the oil and gas industry.

Abstract

Purpose

The aim of this paper is to find and prioritise multiple critical success factors (CSFs) for the implementation of LSS in the oil and gas industry.

Design/methodology/approach

Based on a preselected list of possible CFSs, experts are involved in screening them with the Delphi method. As a result, 22 customised CSFs are selected. To prioritise these CSFs, the step-wise weight assessment ratio analysis (SWARA) method is applied to find weights corresponding to the decision-making preferences. Since the regular permutation-based weight assessment can be classified as NP-hard, the problem is solved by a metaheuristic method. For this purpose, a genetic algorithm (GA) is used.

Findings

The resulting prioritisation of CSFs helps companies find out which factors have a high priority in order to focus on them. The less important factors can be neglected and thus do not require limited resources.

Research limitations/implications

Only a specific set of methods have been considered.

Practical implications

The resulting prioritisation of CSFs helps companies find out which factors have a high priority in order to focus on them.

Social implications

The methodology supports respective evaluations in general.

Originality/value

The paper contributes to the very limited research on the implementation of LSS in the oil and gas industry, and, in addition, it suggests the usage of SWARA, a permutation method and a GA, which have not yet been researched, for the prioritisation of CSFs of LSS.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

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Article

Balachandra Kumaraswamy and Poonacha P G

In general, Indian Classical Music (ICM) is classified into two: Carnatic and Hindustani. Even though, both the music formats have a similar foundation, the way of…

Abstract

Purpose

In general, Indian Classical Music (ICM) is classified into two: Carnatic and Hindustani. Even though, both the music formats have a similar foundation, the way of presentation is varied in many manners. The fundamental components of ICM are raga and taala. Taala basically represents the rhythmic patterns or beats (Dandawate et al., 2015; Kirthika and Chattamvelli, 2012). Raga is determined from the flow of swaras (notes), which is denoted as the wider terminology. The raga is defined based on some vital factors such as swaras, aarohana-avarohna and typical phrases. Technically, the fundamental frequency is swara, which is definite through duration. Moreover, there are many other problems for automatic raga recognition model. Thus, in this work, raga is recognized without utilizing explicit note series information and necessary to adopt an efficient classification model.

Design/methodology/approach

This paper proposes an efficient raga identification system through which music of Carnatic genre can be effectively recognized. This paper also proposes an adaptive classifier based on NN in which the feature set is used for learning. The adaptive classifier exploits advanced metaheuristic-based learning algorithm to get the knowledge of the extracted feature set. Since the learning algorithm plays a crucial role in defining the precision of the raga recognition, this model prefers to use the GWO.

Findings

Through the performance analysis, it is witnessed that the accuracy of proposed model is 16.6% better than NN with LM, NN with GD and NN with FF respectively, 14.7% better than NN with PSO. Specificity measure of the proposed model is 19.6, 24.0, 13.5 and 17.5% superior to NN with LM, NN with GD, NN with FF and NN with PSO, respectively. NPV of the proposed model is 19.6, 24, 13.5 and 17.5% better than NN with LM, NN with GD, NN with FF and NN with PSO, respectively. Thus it has proven that the proposed model has provided the best result than other conventional classification methods.

Originality/value

This paper intends to propose an efficient raga identification system through which music of Carnatic genre can be effectively recognized. This paper also proposes an adaptive classifier based on NN.

Details

Data Technologies and Applications, vol. 54 no. 3
Type: Research Article
ISSN: 2514-9288

Keywords

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Article

Jalil Heidary Dahooie, Ieva Meidute-Kavaliauskiene, Amir Salar Vanaki, Askoldas Podviezko and Elham Beheshti Jazan Abadi

The present study is aimed to develop a firm export performance measurement model. Increased levels of globalization are forcing firms, especially SMEs (i.e. small and…

Abstract

Purpose

The present study is aimed to develop a firm export performance measurement model. Increased levels of globalization are forcing firms, especially SMEs (i.e. small and medium-sized enterprises) and entrepreneurial firms, to enter new markets and increase their exports. Consequently, export performance measurement has become a vital tool for achieving competitive advantages, and this type of measurement is considered an important topic of research in the field of international marketing. However, the literature lacks a comprehensive framework for measuring export performance, even though many criteria for gauging this performance's parameters have been discovered and applied.

Design/methodology/approach

A literature review was conducted, and the most important criteria for export performance measurement was identified using weights obtained by stepwise weight assessment ratio analysis method. Then, the export performance of five firms was evaluated using the additive ratio assessment method with interval-valued triangular fuzzy numbers.

Findings

The 15 most significant criteria were identified and categorized into three dimensions: economic, strategic, and other. The strategic dimension was identified as the most important, while the criteria “strategic goals achievement” and “return on investment” were found to be the most relevant.

Practical implications

A comprehensive framework including a definitive set of the most prominent, useful evaluation criteria was established which enables both scholars and practitioners to assess export performance.

Originality/value

The current study attempts to fill the gaps in the literature by presenting a comprehensive framework for export performance measurement.

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