A quality function deployment-based framework for the risk management of hazardous material transportation process

Yang, Qiang; Chin, Kwai‐Sang; Li, Yanlai

doi:10.1016/j.jlp.2018.02.001

Cited by 31 publications

(17 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Wu et al [3] provided a hybrid QFD model with decision-making trial and evaluation laboratory (DEMATEL) technique and VIKOR method within hesitant fuzzy environment. In addition, the fuzzy QFD-MCDM frameworks were applied to various fields, such as supply chain management strategies formulation problems [2,33], risk management of hazardous material transportation process [34], and green supplier selection problems [6].…”

Section: Literature Reviewmentioning

confidence: 99%

New Framework for Quality Function Deployment Using Linguistic Z-Numbers

Song

Wang

2020

Mathematics

View full text Add to dashboard Cite

Quality function deployment (QFD) is a useful design quality control tool in service enterprises and manufacturing enterprises. However, there are several issues in extant QFD frameworks, that is, in three aspects: description of evaluation information, weight determination of expert team members (TMs), and weight identification of customer requirements (CRs). In order to address these issues, a novel QFD framework is first proposed utilizing linguistic Z-numbers (LZNs) with integrated subjective and objective weights of TMs and CRs. The LZNs can represent uncertain information and the reliability of information in a specific way while the fuzzy numbers cannot. Moreover, the order relation analysis (G1) method and improved maximum consensus (MC) method are developed to get the subjective and objective weights of TMs, respectively. Further, the step-wise weight assessment ratio analysis (SWARA) method and statistical distance (SD) method are studied to acquire combined weights of CRs. Next, the proposed QFD framework is applied to a case of logistics service provider, which illustrates the availability and utility of the framework. Then, a sensitivity analysis is conducted to prove the reliability of the framework. Finally, two comparative analyses are performed to declare the advantages of the framework. Results indicate the proposed QFD framework is better than existing models.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

New Framework for Quality Function Deployment Using Linguistic Z-Numbers

Song

Wang

2020

Mathematics

View full text Add to dashboard Cite

show abstract

“…For example, based on specific multimodal transport network port planning problems, Tadić et al 42 combined QFD, Delphi and other methods to establish a new hybrid MCDM model to ensure the continuity of cargo transportation flow in the network. On the basis of the QFD method, Yang et al 43 proposed a set of risk management frameworks applicable to the transportation of dangerous goods, which could be applied to the risk management and prevention process of related transportation companies, and could also provide adequate guidance for the policy formulation and resource allocation by various departments. Osiro et al 44 combined QFD technology with hesitant fuzzy linguistic term sets (HFLTS) to build a supply chain multicriteria decision model, which could rank the indicators based on the relative importance rating and difficulty of the collected data, and then the final decision could be made.…”

Section: Literature Reviewmentioning

confidence: 99%

Risk assessment on multimodal transport network based on quality function deployment

Guo

et al. 2020

Int J Intell Syst

View full text Add to dashboard Cite

As a necessary work before risk prevention and control, risk assessment has become increasingly important in multimodal transport networks. On the basis of the idea of quality function deployment (QFD), this paper combines fuzzy G1 method, two-tuple linguistic representation model, and dynamic intuitionistic fuzzy multi-attribute evaluation method to propose a new method for risk assessment. QFD is innovatively used to create an overall framework, which includes the basic importance rating of risk factors, the correlation between risk factors and network failures, the importance rating of network failures, and the comprehensive importance rating of risk factors. The comprehensive importance rating is regarded as an indicator to verify, improve, and modify the basic importance rating, which can make up for the disadvantage of the existing risk assessment methods in proving the credibility of the results. Its result is the key to judging the degree of influence of risk factors on network operation. This paper takes the multimodal transport network in the Sichuan-Tibet region of China as an example for analysis. The results are analyzed and discussed to prove the validity and advancement of the proposed method.

show abstract

“…To evaluate the risk of each alternative, the risk factors associated with HazMat transportation need to be identified first. By means of searching related research papers [9,10,54,55,56,57,58,59,60,61], historical transportation and accidents data, and interviewing experienced practitioners who have worked in the first line for over ten years, a hierarchical transportation risk evaluation index system, which has four first-level criteria—Human (u1), Management (u2), Environment (u3), Equipment (u4)—with 13 risk indictors is established, as shown in Figure 2.…”

Section: Case Study and Comparison Analysismentioning

confidence: 99%

Evaluation and Selection of HazMat Transportation Alternatives: A PHFLTS- and TOPSIS-Integrated Multi-Perspective Approach

Chen

Kong

et al. 2019

IJERPH

Self Cite

View full text Add to dashboard Cite

Outsourcing the hazardous materials (HazMat) transportation is an effective way for manufacturing enterprises to avoid risks and accidents as well as to retain sustainable development in economic growth and social inclusion while not bringing negative impacts on the public and the environment. It is imperative to develop viable and effective approaches to selecting the most appropriate HazMat transportation alternatives. This paper aims at proposing an integrated multi-criteria group decision making approach that combines proportional hesitant fuzzy linguistic term set (PHFLTS) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to address the problem of HazMat transportation alternative evaluation and selection. PHFLTSs are adopted to represent the congregated individual evaluations in a bid to avoid information loss and increase the reliability of results. Two weight assignment models are then proposed to determine the comprehensive weights of experts and criteria. Furthermore, several novel manipulations of PHFLTS are also defined to enrich its applicability. The TOPSIS method is subsequently extended to the context of PHFLTSs to rank alternatives and choose the best one. Eventually, the feasibility and validity of the proposed approach are verified by a practical case study of a HazMat transportation alternative evaluation and selection decision and further comparison analyses.

show abstract

A quality function deployment-based framework for the risk management of hazardous material transportation process

Cited by 31 publications

References 39 publications

New Framework for Quality Function Deployment Using Linguistic Z-Numbers

New Framework for Quality Function Deployment Using Linguistic Z-Numbers

Risk assessment on multimodal transport network based on quality function deployment

Evaluation and Selection of HazMat Transportation Alternatives: A PHFLTS- and TOPSIS-Integrated Multi-Perspective Approach

Contact Info

Product

Resources

About