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1 – 10 of 670Justin Zuopeng Zhang, Praveen Ranjan Srivastava and Prajwal Eachempati
The paper aims to build a customized hybrid multi-criteria model to identify the top three utilities of drones at both personal and community levels for two use cases…
Abstract
Purpose
The paper aims to build a customized hybrid multi-criteria model to identify the top three utilities of drones at both personal and community levels for two use cases: firefighting in high-rise buildings and logistic support.
Design/methodology/approach
A hybrid multi-criterion model that integrates fuzzy analytical hierarchy process (AHP), Best Worst, fuzzy analytical network process (ANP), fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) is used to compute the criteria weights. The weights are validated by a novel ensemble ranking technique further whetted by experts at the community and personal levels to two use cases.
Findings
Drones' fire handling and disaster recovery utilities are the most important to fight fire in high-rise buildings at both personal and community levels. Similarly, drones' urban planning, municipal works and infrastructure inspection utilities are the most important for providing logistics support at personal and community levels.
Originality/value
The paper presents a novel multi-criteria approach, i.e. ensemble ranking, by combining the criteria ranking of individual methods – fuzzy AHP, Best-Worst, fuzzy ANP and fuzzy DEMATEL – in the ratio of optimal weights to each technique to generate the consolidated ranking. Domain experts also validate this ranking for robustness. This paper demonstrates a viable methodology to quantify the utilities of drones and their capabilities. The proposed model can be recalibrated for different use case scenarios of drones.
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Muhammad Shoaib, Shengzhong Zhang, Hassan Ali, Muhammad Azeem Akbar, Muhammad Hamza and Waheed Ur Rehman
This study aims to identify and prioritize the challenges to adopting blockchain in supply chain management and to make its taxonomic model. Moreover, validate whether these…
Abstract
Purpose
This study aims to identify and prioritize the challenges to adopting blockchain in supply chain management and to make its taxonomic model. Moreover, validate whether these challenging factors exist in the real world and, if they exist, then in what percentage.
Design/methodology/approach
This research adopted the fuzzy best-worst method (F-BWM), which integrates fuzzy set theory with the best-worst method to identify and prioritize the prominent challenges of the blockchain-based supply chain by developing a weighted multi-criteria model.
Findings
A total of 20 challenges (CH's) were identified. Lack of storage capacity/scalability and lack of data privacy challenges were found as key challenges. The findings of this study will provide a robust framework of the challenges that will assist academic researchers and industry practitioners in considering the most significant category concerning their working area.
Practical implications
Blockchain provides the best solution for tracing and tracking where RFID has not succeeded. It can improve quality management in a supply chain network by improving standards and speeding up operations. For inventory management, blockchain provides transparency of documentation for both parties within no time.
Originality/value
To the best of the authors' knowledge, no previous research has adopted the fuzzy best-worst method to prioritize the identified challenges of blockchain implementation in the supply chain. Moreover, no study provides a taxonomic model for the challenges of implementing a blockchain-based supply chain.
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Çağla Cergibozan and İlker Gölcük
The study aims to propose a decision-support system to determine the location of a regional disaster logistics warehouse. Emphasizing the importance of disaster logistics, it…
Abstract
Purpose
The study aims to propose a decision-support system to determine the location of a regional disaster logistics warehouse. Emphasizing the importance of disaster logistics, it considers the criteria to be evaluated for warehouse location selection. It is aimed to determine a warehouse location that will serve the disaster victims most efficiently in case of a disaster by making an application for the province of Izmir, where a massive earthquake hit in 2020.
Design/methodology/approach
The paper proposes a fuzzy best–worst method to evaluate the alternative locations for the warehouse. The method considers the linguistic evaluations of the decision-makers and provides an advantage in terms of comparison consistency. The alternatives were identified through interviews and discussions with a group of experts in the fields of humanitarian aid and disaster relief operations. The group consists of academics and a vice-governor, who had worked in Izmir. The results of a previously conducted questionnaire were also used in determining these locations.
Findings
It is shown how the method will be applied to this problem, and the most effective location for the disaster logistics warehouse in Izmir has been determined.
Originality/value
This study contributes to disaster preparedness and brings a solution to the organization of the logistics services in Izmir.
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Irfan Ali, Vincent Charles, Umar Muhammad Modibbo, Tatiana Gherman and Srikant Gupta
The COVID-19 pandemic has caused significant disruptions to global supply chains (SCs), affecting the production, distribution, and transportation of goods and services. To…
Abstract
Purpose
The COVID-19 pandemic has caused significant disruptions to global supply chains (SCs), affecting the production, distribution, and transportation of goods and services. To mitigate these disruptions, it is essential to identify the barriers that have impeded the seamless operation of SCs. This study identifies these barriers and assesses their impact on supply chain network (SCN).
Design/methodology/approach
To determine the relative importance of different barriers and rank the affected industries, a hybrid approach was employed, combining the best-worst method (BWM) and the technique for order preference by similarity to an ideal solution (TOPSIS). To accommodate the inherent uncertainties associated with the pandemic, a triangular fuzzy TOPSIS was used to represent the linguistic variable ratings provided by decision-makers.
Findings
The study found that the airlines and hospitality industry was the most affected by the barriers, accounting for 46% of the total, followed by the healthcare industry (23%), the manufacturing industry (19%), and finally the consumer and retail industry (17%).
Research limitations/implications
This study is limited to the four critical industries and nine identified barriers. Other industries and barriers may have different weights and rankings. Nevertheless, the findings offer valuable insights for decision-makers in SC management, aiding them in mitigating the impact of COVID-19 on their operations and enhancing their resilience against future disruptions.
Originality/value
This study enhances understanding of COVID-19’s impact on SCN and provides a framework for assessing disruptions using multi-criteria decision-making processes. The hybrid approach of BWM and TOPSIS in a fuzzy environment is unique and offers potential applicability in various evaluation contexts.
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Alok Raj and Samir K. Srivastava
The purpose of this paper is to develop a composite index (CI) to evaluate the sustainability performance of an aircraft manufacturing firm using Fuzzy Best Worst Multi Criteria…
Abstract
Purpose
The purpose of this paper is to develop a composite index (CI) to evaluate the sustainability performance of an aircraft manufacturing firm using Fuzzy Best Worst Multi Criteria (FBWM) decision-making approach. It identifies a wide range of sub-dimensions and their attributes to measure sustainability in a multi-echelon supply chain.
Design/methodology/approach
FBWM, a hybrid multi-criteria decision making method, relies on multiple sub-dimensions and attributes for assessment of sustainability. Sub-dimensions and attributes are identified from a detailed literature review and inputs from 17 experts. The weights are evaluated using best worst method (BWM). Quantitative measurements are very difficult for attributes like living conditions, noise emission, etc., so the performance of attributes are assessed using Fuzzy logic. The proposed methodology is validated with the case study of a single unit of an Indian aircraft manufacturing firm.
Findings
Economic concerns emerge as the most influential dimension of sustainability in the aerospace sector. The results reveal that the firm considered in the case study is “Very Sustainable.” Firm’s performance ratings are excellent in three out of 79 attributes considered for the study. Further, 24 weaker (least performing) attributes are identified with the help of fuzzy performance index. These require managerial action for improvements.
Research limitations/implications
The present study is based on inputs from a small group of managers in a single firm in India. It can be extended to a large group of executives in other firms like Boeing, Airbus, etc. for testing the validity of the proposed methodology and generalization of the findings.
Practical implications
Managers, consultants and audit agencies can use the proposed CI developed in this paper for evaluating the sustainability performance of a firm. It assists managers to identify weaker attributes for which they may plan and prioritize their activities for improvements.
Originality/value
To the best of the authors’ knowledge, this is the first paper to measure sustainability in an aircraft manufacturing firm. The paper proposes a novel framework based on fuzzy BWM, for assessing sustainability performance.
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Ilyas Masudin, Putri Elma Zuliana, Dana Marsetiya Utama and Dian Palupi Restuputri
The purpose of this study is to identify the risks that exist in halal meat supply chain activities and to carry out a risk assessment using the fuzzy best-worst method (FBWM…
Abstract
Purpose
The purpose of this study is to identify the risks that exist in halal meat supply chain activities and to carry out a risk assessment using the fuzzy best-worst method (FBWM) along with mitigating risks using the risk mitigation number (RMN).
Design/methodology/approach
The method used is to collect several literature reviews related to the halal meat supply chain, which has information relevant to the risks of the meat industry in Indonesia. Then, a focus group discussion was held with several experts who play a role in the meat industry in Indonesia, and 33 identified risks were identified in halal meat supply chain activities. The proposed methodology uses FBWM and RMN in conducting risk assessment and mitigation in the meat industry in Indonesia.
Findings
The analysis reveals that priority risk is obtained by using the global weight value on the FBWM, and then risk mitigation is carried out with RMN. Priority mitigation strategies can mitigate some of the risks to the meat industry in Indonesia. The proposed mitigation strategy is designed to be more effective and efficient in preventing risks that can interfere with product halalness in halal meat supply chain activities in the Indonesian meat industry.
Research limitations/implications
The implications of this study highlight the need for collaboration among stakeholders, improved risk assessment methodologies and the expansion of research into other halal supply chains. By addressing these implications, the halal industry can enhance its integrity, consumer confidence and overall contribution to the global market.
Originality/value
This research provides an integrated approach to identifying, analyzing, assessing and mitigating risks to the meat industry in Indonesia.
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Arpit Singh, Vimal Kumar, Pratima Verma and Bharti Ramtiyal
With increasing pressure from the government and private sectors to be more environmentally and socially responsible, sustainable supplier selection has gained enormous currency…
Abstract
Purpose
With increasing pressure from the government and private sectors to be more environmentally and socially responsible, sustainable supplier selection has gained enormous currency in recent times. Particularly, in the case of the construction industry, owing to a large amount of industrial wastage generated and extreme workplace conditions, it is even more important to devise strategies to mitigate the harmful consequences. The most crucial step in this regard is the selection of sustainable suppliers that acquire a pivotal position in the supply chain ecosystem. This study aims to identify indicators for three criteria such as economic, environmental and social, and prioritize them according to their level of significance for sustainable supplier selection in the Indian construction industry.
Design/methodology/approach
In this study, the best-worst method (BWM) is presented for sustainable supplier selection in Indian construction organizations. Total of 27 indicators was identified for the three criteria of the triple bottom line (TBL) approach namely economic, environmental and social. Using BWM, the most important criterion was found and subsequently, all the indicators under each criterion were ranked in order of importance.
Findings
The analysis revealed that the environmental criterion was the most important criteria in the sustainable supplier selection followed by the economic criteria. The indicators that were the most influential in the effective selection process were “Usage of recyclable raw materials for production”, “Adoption of clean and green technologies”, “Waste management” and “Periodical environmental audits” under the environmental criteria; “Efficiency”, “Cost” and “Flexibility and Scalability” from the economic criteria; and “Safety programs” and “Information disclosure” in the social criteria.
Research limitations/implications
The study provides a reference framework for the selection of sustainable suppliers in construction organizations. The findings can also be used for the assessment of suppliers' performance in the supply chains.
Originality/value
The novelty of this work lies in its attempt to model the performance of suppliers in the Indian construction supply chains.
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Sharfuddin Ahmed Khan, Simonov Kusi-Sarpong, Iram Naim, Hadi Badri Ahmadi and Adegboyega Oyedijo
The purpose of paper is to develop a performance evaluation framework for manufacturing industry to evaluate overall manufacturing performance.
Abstract
Purpose
The purpose of paper is to develop a performance evaluation framework for manufacturing industry to evaluate overall manufacturing performance.
Design/methodology/approach
The best-worst method (BWM) is used to aid in developing a performance evaluation framework for manufacturing industry to evaluate their overall performance.
Findings
The proposed BWM-based manufacturing performance evaluation framework is implemented in an Indian steel manufacturing company to evaluate their overall manufacturing performance. Operational performance of the organization is very consistent and range between 60% and 70% throughout the year. Management performance can be seen high in the 1st and 2nd quarter of the financial year ranging from 70% to 80%, whereas a slight decrease in the management performance is observed in the 3rd and 4th quarter ranging from 60% to 70%. The social stakeholder performance has a peak in first quarter ranging from 80% to 100% as at start of financial year.
Originality/value
This paper utilized BWM, a MCDM method in developing a performance evaluation index that integrates several categories of manufacturing and evaluates overall manufacturing performance. This is a novel contribution to BWM decision-making application.
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Sanaz Tabatabaee, Mojtaba Ashour, Haleh Sadeghi, Seyed Amirali Hoseini, Saeed Reza Mohandes, Amir Mahdiyar, Syuhaida Ismail and M. Reza Hosseini
To come up with a prudent decision on the installation of an appropriate green wall (GW) on buildings, this study presents a novel decision-making algorithm. The proposed…
Abstract
Purpose
To come up with a prudent decision on the installation of an appropriate green wall (GW) on buildings, this study presents a novel decision-making algorithm. The proposed algorithm considers the importance of barriers hampering GW adoption, as well as their relationships with regard to different types of GWs existing in a contextual setting.
Design/methodology/approach
The proposed methodological approach is based on the integration of qualitative and quantitative techniques by employing focus group discussion, fuzzy-based best-worst method and fuzzy TOPSIS.
Findings
Based on the experiences of qualified experts involved in related projects in Hong Kong, the following conclusions are drawn: (1) cost, installation and maintenance-related barriers are perceived to have the highest importance, (2) modular living wall system is the most suitable GW system for the context of Hong Kong and (3) existing barriers are found to have a pivotal role in the ranking of the most suitable GW systems.
Practical implications
The findings provide valuable insight not only for policymakers and stakeholders, but also for establishing a methodological approach that can assist decision-makers in identifying the most beneficial GW system rather than the most applicable one. This could have significant implications and introduce potential changes to the common way of practice within the industry and lay the foundation for wider adoption of GW.
Originality/value
While previous studies have investigated the sustainability-related issues of GW façade applications, the current body of knowledge is deprived of a comprehensive methodological approach for the selection of the most suitable GW systems.
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Erhan Ada, Muhittin Sagnak, Ruhan Askin Uzel and İrem Balcıoğlu
This study aims to propose a novel framework for barriers to circularity within cooperative supply chains. The barriers in the adoption and implementation of circular economy…
Abstract
Purpose
This study aims to propose a novel framework for barriers to circularity within cooperative supply chains. The barriers in the adoption and implementation of circular economy principles are examined within a framework.
Design/methodology/approach
Fuzzy best-worst method is used to calculate the weights of barriers and identify the prioritization of barriers to circularity within cooperative supply chain.
Findings
“Insufficient implementation of circular economy laws” was found as the most important barrier, followed by “Lack of information”, “Ineffective recycling policies”, “Lack of awareness for circular economy”, “Remanufacturing is a labor-intensive procedure”, “Inconsistent price policies in sources and products”, “Lack of environmental management system”, “Cost of implementation for green activities” and “Lack of R&D capability” barriers, respectively.
Research limitations/implications
The number of participant professionals limits the conclusions of the study and reaching more general conclusions. A comprehensive research can be conducted by the participation of a greater number of professionals.
Originality/value
Several studies analyzed the barriers to circularity; however, to the best of the authors' knowledge, no study has been taken an approach for barriers to circularity for cooperatives or cooperative supply chains.
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