Assessment of sustainable green logistics enablers: a robust framework using fuzzy DEMATEL and ISM approach

Shoaib, Muhammad; Zhang, S.; Ali, Hassan

doi:10.1007/s13762-022-04709-4

Cited by 6 publications

(5 citation statements)

References 90 publications

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“…Dealing with decision-making problems and looking for general solutions can be done practically with the FDEMATEL approach [103]. Since Gabus and Fontela [104] introduced FDEMATEL in 1972, it has been extensively used to elucidate the structural cause-effect relationships that occur in decision-making and evaluation [42,105,106].…”

Section: Fuzzy Delphi-dematel Methodsmentioning

confidence: 99%

“…Fuzzy DEMATEL helps in categorizing [112], determining causal relationships, prioritizing, and developing guidelines for logistics and supply chain operations, enhancing decision-making and system improvement [111]. Fuzzy logic is used by the Fuzzy DEMATEL approach to efficiently capture the priorities and intricate relationships among the elements, which helps managers develop plans and make wise decisions in many fields [42,[103][104][105][106][107][109][110][111][112]. It helps determine interdependencies, calculate weights, and address uncertainties, enhancing decision-making accuracy and effectiveness.…”

Section: Fuzzy Delphi-dematel Methodsmentioning

confidence: 99%

“…The process involves designing questionnaires to assess potential KPIs. Prior studies often relied on triangular [96,100,101], trapezoidal [102], and Gaussian [103] fuzzy numbers for choosing fuzzy membership functions. Witold has demonstrated that the widely employed triangle membership functions offer a direct resolution to the problems that arise in fuzzy modeling [104].…”

Section: Fuzzy Delphi Methodsmentioning

confidence: 99%

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Identification of Key Drivers for Performance Measurement in Sustainable Humanitarian Relief Logistics: An Integrated Fuzzy Delphi-DEMATEL Approach

Ahmad,

Fei,

Shoaib

et al. 2024

Sustainability

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Sustainable humanitarian relief logistics (SHRL) is gaining attention due to increased disasters, unpredictable demand, large volumes, high delivery stakes, and limited resources, evaluated through adaptable performance drivers. This study presents a novel hybrid framework for SHRL, combining the Fuzzy Delphi Method (FDM) and Fuzzy Decision-Making Trial and Evaluation Laboratory (FDEMATEL). Initially, FDM is utilized to reach a consensus among experts concerning key performance indicators (KPIs) for humanitarian logistics and supply chains. By incorporating the inherent uncertainty and vagueness in expert judgments, FDM refines the list of key performance indicators that reflect the real-life conditions and constraints in disaster operations. Finally, the fuzzy DEMATEL approach was used to analyze the interrelationships among factors, identifying cause-and-effect behavior and ranking them, forming a robust theoretical framework. Based on the acquired results, the KPIs attached to the Quality (P1) aspect of the proposed framework have gained significant importance and are the main cause in a cause-and-effect relationship which impacts and is helpful to improve the performance of humanitarian organizations in all phases of disaster management. The KPIs prompt delivery (D1), and delivery accuracy (D2) are more significant, while capacity building and training (D19) and delivery compliance (D15) are least significant in SHRL scenarios. This research is expected to support humanitarian organizations in enhancing their capabilities, thereby improving the effectiveness and efficiency of aid delivery in disaster-stricken areas.

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Section: Fuzzy Delphi-dematel Methodsmentioning

confidence: 99%

Section: Fuzzy Delphi-dematel Methodsmentioning

confidence: 99%

Section: Fuzzy Delphi Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Identification of Key Drivers for Performance Measurement in Sustainable Humanitarian Relief Logistics: An Integrated Fuzzy Delphi-DEMATEL Approach

Ahmad,

Fei,

Shoaib

et al. 2024

Sustainability

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“…This step is the central part of the methodology in which the pilot survey was conducted to analyze the reference comparisons for the "best (the most favorable or important) vs others" and "others vs worst (the least favorable or important)" challenges. The respondents ranked the challenging factors (mentioned in Table 1) on a 0-5 linguistic scale, "Not Important (NI)," "Somewhat important (SW)," "Important (I)," "Very Important (VI)," and "Extremely Blockchainbased supply chain challenges Important (EI)" (Bagheri et al, 2021;Shoaib et al, 2022). Finally, the best and worst challenges were selected based on the survey's outcome.…”

Section: Fuzzy Best-worst Methodsmentioning

confidence: 99%

Robust framework to prioritize blockchain-based supply chain challenges: the fuzzy best-worst approach for multiple criteria decision-making

Shoaib

Zhang

Ali

et al. 2023

Self Cite

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PurposeThis 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/approachThis 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.FindingsA 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 implicationsBlockchain 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/valueTo 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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“…DEMATEL is an efficient technique that focuses on assessing the interdependencies between elements and identifying the significant factors. Few approaches can find the factors' impact on GLSCM performance; hence, the DEMATEL method is chosen based on their relative importance [24,67]. Furthermore, it was mentioned that the DEMATEL technique's main advantage is that it shows how different variables interact and reveals how much one variable influences another and how much another variable influences another.…”

Section: Fuzzy Dematel Approachmentioning

confidence: 99%

Identification and Prioritization of Green Lean Supply Chain Management Factors Using Fuzzy DEMATEL

2023

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Green–lean supply chain management (GLSCM) refers to strategically adopting and coordinating environmentally sustainable practices and lean concepts in supply chain operations. A considerable set of factors needs to be identified to implement GLSCM successfully. This study examined the factors influencing green lean supply chain management implementation in the Readymade Garments Industries of Bangladesh through a literature review and discussions with field experts. The fuzzy decision-making trial and evaluation laboratory (fuzzy DEMATEL) approach is employed to analyze these factors to implement GLSCM effectively. This research identifies capacity utilization, green purchasing, and demand variation as the most influential factors in GLSCM, while quality improvement and the Kanban system are considered the least important factors. This study explored categorizing factors into the cause-and-effect group, the degree of interaction, and the interrelationship of the factors under consideration. The findings of this study may help managers develop an effective GLSCM system, hence increasing an organization’s total profitability.

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Assessment of sustainable green logistics enablers: a robust framework using fuzzy DEMATEL and ISM approach

Cited by 6 publications

References 90 publications

Identification of Key Drivers for Performance Measurement in Sustainable Humanitarian Relief Logistics: An Integrated Fuzzy Delphi-DEMATEL Approach

Identification of Key Drivers for Performance Measurement in Sustainable Humanitarian Relief Logistics: An Integrated Fuzzy Delphi-DEMATEL Approach

Robust framework to prioritize blockchain-based supply chain challenges: the fuzzy best-worst approach for multiple criteria decision-making

Identification and Prioritization of Green Lean Supply Chain Management Factors Using Fuzzy DEMATEL

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