A novel Kano-QFD-DEMATEL approach to optimise the risk resilience solution for sustainable supply chain

He, Lina; Wu, Zhihua; Xiang, Wei; Goh, Mark; Xu, Zhitao; Song, Wenyan; Ming, Xinguo; Wu, Xiao

doi:10.1080/00207543.2020.1724343

Cited by 70 publications

(64 citation statements)

References 48 publications

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“… I20 Supply chain vulnerability SC vulnerability is the susceptibility or exposure to a disruptive event in the supply chain Blackhurst et al (2018) ; Azadegan et al (2020) ; Viljoen & Joubert (2018) ; Nakatani et al (2018) ; Konig & Spinler (2016) ; Chowdhury & Quaddus (2016) ; Chen et al (2015 b); Ethirajan et al (2020) . I21 Sustainability Sustainability in the SC is defined as managing the supply chain functions aligned with the social, environmental, and economic sustainability requirements of the stakeholders to reduce sustainability risks in supply chain and improve market performance Seuring & Müller (2008) ; Sharifi et al (2020) ; Chatterjee & Layton (2020) ; Chen et al (2020) ; Handfield et al (2020) ; Zhu & Krikke (2020) ; Kamble et al (2020) ; Niu et al (2020) ; Quayson et al (2020) ; Ivanov (2020) ; Shareef et al (2020) ; He et al (2020) ; Nayak & Dhaigude (2019) ; Maiyar & Thakkar (2020) . I22 Uncertainty “Uncertainty” refers to a state that cannot be directly expressed by a certain amount of information, which describes a situation that cannot be ascertained, or where there are different possibilities.…”

Section: Resultsmentioning

confidence: 99%

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Bui

Tsai

Tseng

et al. 2021

Sustainable Production and Consumption

177

119

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Balancing sustainability and disruption of supply chains requires organizational ambidexterity. Sustainable supply chains prioritize efficiency and economies of scale and may not have sufficient redundancy to withstand disruptive events. There is a developing body of literature that attempts to reconcile these two aspects. This study gives a data-driven literature review of sustainable supply chain management trends toward ambidexterity and disruption. The critical review reveals temporal trends and geographic distribution of literature. A hybrid of data-driven analysis approach based on content and bibliometric analyses, fuzzy Delphi method, entropy weight method, and fuzzy decision-making trial and evaluation laboratory is used on 273 keywords and 22 indicators obtained based on the experts’ evaluation. The most important indicators are identified as supply chain agility, supply chain coordination, supply chain finance, supply chain flexibility, supply chain resilience, and sustainability. The regions show different tendencies compared with others. Asia and Oceania, Latin America and the Caribbean, and Africa are the regions needs improvement, while Europe and North America show distinct apprehensions on supply chain network design. The main contribution of this review is the identification of the knowledge frontier, which then leads to a discussion of prospects for future studies and practical industry implementation.

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Section: Resultsmentioning

confidence: 99%

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Bui

Tsai

Tseng

et al. 2021

Sustainable Production and Consumption

177

119

View full text Add to dashboard Cite

show abstract

“…To ensure sustainability, supply chains need to be resilient [15][16][17]. Sustainability has become a primary focus of supply chains, and resilience is necessary to achieve sustainability targets [18].…”

Section: Introductionmentioning

confidence: 99%

“…QFD is a flexible system that converts customer requirements into design requirements and uses a House of Quality (HoQ) matrix to identify correlations at each stage, including product design, manufacturing, and distribution [28]. QFD has become more popular and has been extended for use in supply chains [17,[29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

“…Though resilience is an important factor in achieving sustainable supply chain performance, the QFD approach has seldom been used to enhance the risk resilience of sustainable supply chains. A previous study employed a Kano-QFD-DEMATEL approach to optimize the risk resilience for sustainable supply chains [17], but it did not follow the hierarchical structure of resilient supply chains proposed by Hosseini et al (2019) [25], nor did it use QFD to connect risks, RCs, and RFs, let alone sustainable fashion supply chains. Furthermore, fashion supply chain research has identified two important issues of sustainability and risk.…”

Section: Introductionmentioning

confidence: 99%

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Deploying Resilience Enablers to Mitigate Risks in Sustainable Fashion Supply Chains

Hsu¹

2021

Sustainability

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The complex structure of supply chains makes them vulnerable to risk, so enhancing their resilience is an important goal. In particular, fashion supply chain research has identified two important issues that need to be addressed: sustainability and risk. However, investigation of these issues is relatively sparse and has primarily been independent with little combinatory research. Therefore, it is crucial to develop a risk mitigation method that can maximize the resilience of sustainable supply chains for fashion companies. The objective of this study is to develop an integrated quality function deployment approach and to mitigate supply chain risk by deploying resilience capabilities and resilience-enhancing features, thus ultimately providing the fashion industry with a useful approach for the development of resilient, sustainable supply chains. Using a fashion company as an example, the practicability of the proposed approach is verified. To strengthen resilience and thus mitigate key risks, it is found that the most urgent tasks are to reallocate the company’s resources, to carry out the real-time monitoring of risk on the spot, to share the risk responsibility, and to establish an incentive system. When these features are strengthened, agility and adaptability can be improved, and finally, the risks of supplier delays, natural disasters, political instability, and problematic supplier materials with the greatest impact can be alleviated. This study provides a new strategy for the fashion industry for the implementation of resilient, sustainable supply chains to mitigate risks.

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“…22 Among these MCDM algorithms, DEMATEL has gained great popularity due to its prominent ability in identifying the causal relations among the evaluation criteria. 23 The relative importance and the internal causal relationship of the evaluation criteria can be well revealed during the DEMATEL execution. Meanwhile, as a novel MCDM model, multi-attribute ideal-real comparative analysis (MAIRCA) shows a higher degree of stability in ranking the evaluation alternatives.…”

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confidence: 99%

Evaluating biological inspiration for biologically inspired design: An integrated DEMATEL‐MAIRCA based on fuzzy rough numbers

Zhu

2021

Int J Intell Syst

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Biological inspiration evaluation has been widely acknowledged as one of the most important phases in biologically inspired design (BID) as it substantially determines the direction of the following-up design activities. However, it is inherently an interdisciplinary assessment, which includes both the engineering domain and the biological systems. Due to the lack of knowledge at the early stage of product design, the risk assessments mainly depend on experts' subjective judgments, which values are vague, imprecise, and even inconsistent. How to objectively evaluate the biological inspiration under such uncertain and interdisciplinary scenarios remains an open issue. To bridge such gaps, this study proposes a fuzzy rough number extended multi-criteria group decision-making (MCGDM) to evaluate the biological inspiration for BID. A fuzzy rough number is introduced to represent the individual decision maker's risk assessment and aggregate respective evaluation values within the decision-making group. A fuzzy rough number extended decision-making trial and evaluation laboratory is presented to determine the criteria weights and a fuzzy rough number extended multi-attribute ideal real comparative analysis is proposed to rank the candidate biological inspirations. Experimental results and comparative analysis validate the superiority of the proposed MCGDM in handling the subjectivity and uncertainty in biological inspiration evaluation.biological inspiration evaluation, biologically inspired design, DEMATEL, fuzzy rough number, MAIRCA | INTRODUCTIONBiologically inspired (i.e., bio-inspired) design (BID) is a promising and rapidly increasing paradigm for design innovation and sustainable design. 1 For millions of years, a huge number of biological functions, behaviors, and structures have been evolved in nature, providing a robust and efficient manner that enables plants and animals to sustain their existence in diverse ways. 2 As a knowledge-driven design methodology, BID aims to systematically mine biological knowledge (e.g., biological functions, behaviors, and structures) to resolve engineering problems, such as eco-design and design creativity-inspiring. 3 It starts with the problem formulation and follows with the problem reframing, biological inspiration identification (i.e., biological solution acquisition, biological solution definition, biological inspiration generation, and biological inspiration evaluation), and the final biological inspiration application. 4 Due to its prominent performance in creativity-inspiring and technical innovation, BID has been widely investigated in various areas and a vast amount of biomimetic applications have emerged in our daily life, such as algorithm development, 5 robotics, 6 material design, 7 optics, 8 and image processing. 9 BID is inherently interdisciplinary. 10 To facilitate the knowledge analogy between the engineering world and biological systems, designers should be equipped with a strong background in the engineering discipline as well as good expertise in the biol...

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A novel Kano-QFD-DEMATEL approach to optimise the risk resilience solution for sustainable supply chain

Cited by 70 publications

References 48 publications

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Deploying Resilience Enablers to Mitigate Risks in Sustainable Fashion Supply Chains

Evaluating biological inspiration for biologically inspired design: An integrated DEMATEL‐MAIRCA based on fuzzy rough numbers

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