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Article
Publication date: 9 March 2020

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

Keywords

Book part
Publication date: 18 January 2021

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

Keywords

Article
Publication date: 4 October 2021

Hemant Sharma, Nagendra Sohani and Ashish Yadav

In the recent scenario, there has been an increasing trend toward lean practices and implementation in production systems for the improvement of an organization’s…

Abstract

Purpose

In the recent scenario, there has been an increasing trend toward lean practices and implementation in production systems for the improvement of an organization’s performance as its basic nature is to eliminate the wastes. The increasing interest of customers in customized products and the fulfillment of customers’ demand with good productivity and efficiency within time are the challenges for the manufacturing organization; that is why adopting lean manufacturing concept is very crucial in the current scenario.

Design/methodology/approach

In this paper, the authors considered three different methodologies for fulfilling the objective of our research. The analytical hierarchy process, best–worst method and fuzzy step-wise weight assessment ratio analysis are the three methods employed for weighting all the enablers and finding the priority among them and their final rankings.

Findings

Further, the best results among these methodologies could be used to analyze their interrelationships for successful lean supply chain management implementation in an organization. In this paper, 35 key enablers were identified after the rigorous analysis of literature review and the opinion of a group of experts consisting of academicians, practitioners and consultants. Thereafter, the brainstorming sessions were conducted to finalize 28 lean supply chain enablers (LSCEs).

Practical implications

For lean manufacturing practitioners, the result of this study can be beneficial where the manufacturer is required to increase efficiency and reduce cost and wastage of resources in the lean manufacturing process.

Originality/value

This paper is the first of the research papers that considered deep literature review of identified LSCEs as the initial step, followed by finding the best priority weightage and developing the ranking of various lean enablers of supply chain with the help of various methodologies.

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: 4 May 2021

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. 35 no. 2
Type: Research Article
ISSN: 1741-0398

Keywords

Article
Publication date: 3 February 2022

Mukesh Chandra, Faisal Shahab, Vimal KEK and Sonu Rajak

In the present scenario, the demand for additive manufacturing (AM) has increased. Taking into account environmental problems and sustainability, manufacturers are now…

Abstract

Purpose

In the present scenario, the demand for additive manufacturing (AM) has increased. Taking into account environmental problems and sustainability, manufacturers are now also considering the environmental and sustainability criteria in their decision-making process. The sustainability concept is known as the triple-bottom line, namely, economic, social and environmental perspectives. Sustainable concept selection in the manufacturing organisation can be considered as the selection of sustainable material, product design, process, method and technology. This study aims to select an appropriate AM process by considering sustainability from various available techniques.

Design/methodology/approach

Appropriate sustainable performance indicators for the AM were identified based on literature as well as in discussion with experts and decision-makers. The model addresses all the major dimensions of sustainable concepts of AM such as material/product quality, machine performance, market stability, total cost and ecological values. A hybrid multi-criteria decision-making approach, i.e. stepwise weight assessment ratio analysis and complex proportional assessment methods, have been used to select the best AM technique. While selecting criteria affecting AM machines and processes, criteria based on the sustainable concept are considered.

Findings

Among the four selected AM processes, i.e. fused diffusion modelling (FDM), laminated object manufacturing (LOM), stereolithography apparatus (SLA) and selective laser sintering (SLS), the best alternative was found to be FDM.

Research limitations/implications

The present study highlights some limitations in the selection of AM process and methodology used in this research. This study considers only four AM processes, i.e. FDM, LOM, SLA and SLS. Future work may include considering other AM processes and criteria that affect the sustainability of AM.

Practical implications

The present work will help researchers and production managers to decide the best AM alternatives to fabricate desired parts. Hence, AM can help in maximum energy utilisation, optimal consumption of resources, minimum material wastage and reduction of CO2 emission.

Originality/value

The study considers some important criteria, including energy consumption, eco-friendly and wastage-free production, that help sustainable AM. This study can result in a good economic efficiency of AM industries and, therefore, positively impact customers using green products.

Details

Rapid Prototyping Journal, vol. 28 no. 7
Type: Research Article
ISSN: 1355-2546

Keywords

Article
Publication date: 1 March 2021

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. 16 no. 4
Type: Research Article
ISSN: 1746-5664

Keywords

Article
Publication date: 3 November 2020

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

Article
Publication date: 28 December 2020

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. 19 no. 4
Type: Research Article
ISSN: 1726-0531

Keywords

Article
Publication date: 20 June 2019

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

Article
Publication date: 10 June 2022

Rohit Bhardwaj, Saurabh Srivastava, Hari Govind Mishra and Sumit Sangwan

This study aims to explore the micro-foundations of knowledge-based dynamic capabilities (KBDCs) in social purpose organizations (SPOs). The KBDCs facilitate SPOs to…

Abstract

Purpose

This study aims to explore the micro-foundations of knowledge-based dynamic capabilities (KBDCs) in social purpose organizations (SPOs). The KBDCs facilitate SPOs to successfully manage the acquisition, creation and combination of knowledge to sustain their pursuit of socioeconomic value creation by effectively recognizing and addressing opportunities.

Design/methodology/approach

This study adopts a multiple-case study research design based on the semi-structured interviews of the founders and top managers of case SPOs. The semi-structured interviews were then compared with the theoretical framework of KBDCs following an abductive research approach.

Findings

This study identifies that certain capabilities are required to recognize and leverage the opportunities by SPOs. The authors found ten micro-foundations of KBDCs that sustain successful operationalization and overall development in SPOs. By using an abductive reasoning approach, the authors noted that certain KBDCs are essentially required for the operationalization and overall development of SPOs.

Research limitations/implications

The authors conducted “semi-structured interviews” of founders and top managers that are retrospective in nature. From the implication viewpoint, this study provides insights for practitioners and researchers as it deepens the comprehension and contribution of knowledge and knowledge-related activities and procedures in SPOs.

Practical implications

KBDCs and their specific micro-foundations can help social entrepreneurs to delineate their idea, strategic processes and actions to achieve effective operationalization and overall sustainable development.

Originality/value

This study improves the understanding of Teece et al. (1997) theoretical construct of dynamic capabilities (DCs) and extends the framework of Zheng et al. (2011) simultaneously by exploring KBDCs that develop in the context of SPOs. The authors used an abductive reasoning approach that is vital for exploring dynamic capabilities; consequently, this study contributes to the approach of DCs and proffers a methodological advancement that can facilitate future research in this direction.

Details

Journal of Knowledge Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1367-3270

Keywords

1 – 10 of 117