A multi-phase QFD-based hybrid fuzzy MCDM approach for performance evaluation: A case of smart bike-sharing programs in Changsha

Tian, Zhang‐peng; Wang, Jianqiang; Zhang, Hongyu

doi:10.1016/j.jclepro.2017.10.098

Cited by 122 publications

(61 citation statements)

References 66 publications

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“…In recent years, the extensions and applications of the technique are increasing, including the best computer workstation selection [8], performance evaluation of smart bike-sharing program [9], and strategic supplier evaluation [6,21,22]. Although there are many successful QFD applications on supplier selection, to the best of our knowledge, the relationship matrix that was used to translate the CRs into TAs in the previous studies is subjectively given by DMs based on their limited knowledge, which may fail to respond to customers' voices accurately.…”

Section: The Qfd Methodsmentioning

confidence: 99%

“…However, for an efficient supply chain management to gain success in business, clearly understanding customer needs is of great importance [6,7]. QFD (quality function deployment) [8,9], as a quality-control technique, has been proved to be an effective technique to take the customer voices into consideration. However, in previous studies related to QFD, the relationship matrix that is key to translate the CRs into TAs (technical attributes, such as product features and engineering characteristics), is subjectively given by decision-makers on the basis of their limited knowledge, which may fail to reflect the CRs accurately.…”

Section: Introductionmentioning

confidence: 99%

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Green-Building-Material Supplier Selection with a Rough-Set-Enhanced Quality Function Deployment

et al. 2019

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Building material supplier evaluation and selection is a significant strategic-decision problem for reducing construction costs and ensuring the quality of a residential product. As people are increasingly concerning about the green level of a residential product and the competition in the housing market is becoming increasingly fierce, it becomes important to select a green customer-oriented material supplier for property developers. Quality function deployment (QFD) has been proven to be an effective quality-control technique to take customer voices into consideration. However, the relationship matrix in the QFD technique, as a key to translate customer requirements into technical attributes, was subjectively given by decision-makers in previous studies, which failed to reflect customer requirements accurately. The aim of this study is to put forward a neighborhood-rough-set-based quality function deployment model for a green-building-material supplier selection. The neighborhood rough set, as a nonparametric and flexible data-mining approach, can effectively and objectively determine the core relationships between a variety of factors. A rough number-based aggregation approach is applied to effectively and objectively aggregate the evaluations given by a group of experts. Then, the classical double normalization-based multiple aggregation method, which considers two types of normalization methods, three aggregation models, and a comprehensive score formula, is extended in rough-number form in order to rank the alternatives. Afterward, an attempt is made to evaluate and rank eleven alternative building-material suppliers for a repute property developer in mainland China, and the corresponding comparative and sensitive analyses verify the effectiveness and robustness of the proposed hybrid model.

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Section: The Qfd Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Green-Building-Material Supplier Selection with a Rough-Set-Enhanced Quality Function Deployment

et al. 2019

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“…Liang, Zhang, Wu, Sheng, and Wang () established an optimisation model that was based on the maximizing deviation principle to select contractors. Tian, Wang, Wang, and Zhang () constructed a method incorporating the maximizing deviation method to improve performance and provide high‐quality products and services for customers.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi‐criteria group decision‐making method based on TODIM with probabilistic interval‐valued hesitant fuzzy information

Zhang

Wang

2019

Expert Systems

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Probabilistic interval‐valued hesitant fuzzy sets (PIV‐HFSs) are suitable for aggregating information from different groups because the probabilistic information of all the groups can be included by using interval values. Moreover, decision makers (DMs) prefer to use interval values to provide evaluation information. Furthermore, the traditional multi‐criteria group decision‐making (MCGDM) approach has some limitations, such as obtaining the DMs' weights with inappropriate methods and neglecting the interactions amongst the criteria and the psychological characteristics of DMs. Motivated by these research background, the main contents of this study are as follows. First, PIV‐HFSs are proposed, and the convex combination operation is extended into PIV‐HFSs. Second, a hybrid MCGDM approach with PIV‐HFSs is suggested that is based on the maximizing deviation method, fuzzy analytic network process (FANP) and TODIM (an acronym in Portuguese for interactive and multi‐criteria decision‐making model). Third, an evaluation case of health management centres based on the service‐specific failure mode and effect analysis (FMEA) is considered. The results show that the most crucial secondary factor is frequency (0.35775) and that the most serious failure mode is the inaccurate check‐in. The results demonstrate that the proposed model can evaluate service quality effectively and that it performs better than other methods.

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“…In detail, there are four kinds of ranking aggregation approach: (1) dominance-based method, including Dominance Theory [18,29] and Dominance-Directed Graph [30], (2) programming method, like Nonlinear Optimization Model [31], (3) MADM method, including Technique of Precise Order Preference [32] and ORESTE [21], (4) aggregation operators, such as Borda Rule [30] and Rank Position Method [30]. Secondly, the weighting approaches for the attribute are divided into many kinds, such as CRITIC [33], SWARA [34], DEMATEL [29], Entropy [35], Maximizing Deviation Method [36], BWM [37], AHP [38], Statistical Variance [33], Choquet Integral [39], TOPSIS-Inspired Method [40], etc. In the last point, MULTIMOORA are fused with many types of MADM methods, which contain FMEA [41], QFD [36], DEA [42], Cluster Analysis [43], Finite Element Simulation [44], Regret Theory [35], Prospect Theory [45], Geographic Information System [46], Fine-Kinney Method [39], et al…”

Section: Definition 5 ([14]mentioning

confidence: 99%

A MAGDM Method Based on Possibility Distribution Hesitant Fuzzy Linguistic Term Set and Its Application

Luo

2019

Mathematics

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The sustainable third-party reverse logistics provider (3PRLP) selection, as the core of sustainable supply chain management, has become paramount in research nowadays. In the actual evaluation process, the decision makers may hesitate in a few linguistic terms and have different partiality towards each term, hence the possibility distribution based hesitant fuzzy linguistic term sets (PDHFLTSs), as expressed by a consecutive or non-consecutive linguistic term set, is suitable for such an evaluation. The purpose of this paper is to solve sustainable 3PRLP selection problems with linguistic information by developing an effective and robust method. We firstly redefine the covariance-based correlation coefficient that can simplify the computation to calculate the consensus degree, and then introduce the hesitant degree in context of possibility distribution information, in order to enrich measures of PDHFLTSs. On this basis, the weights of experts are computed for expression aggregation. Secondly, to overcome attributes’ weights staying constant, the combination of group utility function and variable weight approach is introduced to give the weights of attributes. Most importantly, a decision method, called MULTIMOORA, is optimized by improving the ranking position method, and then, through the combination with PDHFLTS, we proposed a possibility distribution based hesitant fuzzy linguistic MULTIMOORA method with great robustness. At last, the presented method is applied to the field of sustainable third-party reverse logistics provider selection in the e-commerce express industry and the effectiveness is verified by several comparative analyses.

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A multi-phase QFD-based hybrid fuzzy MCDM approach for performance evaluation: A case of smart bike-sharing programs in Changsha

Cited by 122 publications

References 66 publications

Green-Building-Material Supplier Selection with a Rough-Set-Enhanced Quality Function Deployment

Green-Building-Material Supplier Selection with a Rough-Set-Enhanced Quality Function Deployment

Multi‐criteria group decision‐making method based on TODIM with probabilistic interval‐valued hesitant fuzzy information

A MAGDM Method Based on Possibility Distribution Hesitant Fuzzy Linguistic Term Set and Its Application

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