Environmentally friendly MCDM of reliability-based product optimisation combining DEMATEL-based ANP, interval uncertainty and Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR)

Feng, Yixiong; Zhang, Hong; Tian, Guangdong; Li, Zhiwu; Tan, Jianrong; Hu, Hesuan

doi:10.1016/j.ins.2018.02.038

Cited by 89 publications

(41 citation statements)

References 46 publications

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“…To subsequently calculate the weight of the criteria for green supplier selection, a newly introduced integration of fuzzy DEMATEL and fuzzy ANP is also adopted. These methods are capable of solving the criteria issues, namely dependency and feedback [2]. Finally, the psychologically influenced behavior of the decision maker in supplier selection under environmental stress has also been measured to assign a weight to each alternative by using prospect theory.…”

Section: Methodsmentioning

confidence: 99%

“…Aiming to minimize environmental problems, a large number of enterprises try to engage only in green supply chains with environmentally, socially, and economically sustainable material sourcing and production processes. Accordingly, sustainable manufacturers also focus on green supplier selection to save cost and to protect the environment at the same time [2].…”

Section: Introductionmentioning

confidence: 99%

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An Integrated Multi-Criteria Decision-Making Model Based on Prospect Theory for Green Supplier Selection under Uncertain Environment: A Case Study of the Thailand Palm Oil Products Industry

Phochanikorn

Tan

2019

Sustainability

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Environmental concerns have globally driven the encouragement of green supply chain management. Accordingly, business and industrial organizations try to seek green supply chain strategies to respond to market pressure regarding corporate social responsibility. Green supplier selection is one of the practical strategies for modern enterprises. With the large-scale development of the palm oil products industry, green supplier selection technique is the key for decision making when dealing with mass information and possible risks of biased data. For instance, the preference of decision makers possibly causes a misleading decision, thus leading to unnecessary waste of resources. Therefore, the contribution of this paper is to apply the integrated multi-criteria decision method using the ‘fuzzy decision-making trial and evaluation laboratory’ (fuzzy DEMATEL) method to consider the cause and effect relationship and then using fuzzy analytic network process (fuzzy ANP) to assign the weight of each relevant criteria. The initial results are useful for strategic procurement planning. In the final step, we adopt the prospect theory to synthesize procurement’s psychological and behavioral factors when selecting green suppliers. The final result refers to the comprehensive prospect value to rank the eligible suppliers into orders. Moreover, the results of both sensitivity analysis and comparison method confirm that the proposed model is adequately realistic and robust.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Integrated Multi-Criteria Decision-Making Model Based on Prospect Theory for Green Supplier Selection under Uncertain Environment: A Case Study of the Thailand Palm Oil Products Industry

Phochanikorn

Tan

2019

Sustainability

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“…VIKOR (Vlsekriterijumska optimizacija I kompromisno resenje) is a representative method of evaluating and ranking a range of alternative plans based on many possible noncomparable and conflicting criteria [55]. The classical VIKOR approach has been used in many fields.…”

Section: Literature Reviewmentioning

confidence: 99%

Supply Chain Partner Selection under Cloud Computing Environment: An Improved Approach Based on BWM and VIKOR

Liu

Zhang

2018

Mathematical Problems in Engineering

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The wide application of cloud computing technology makes supply chain partner share information effectively and increase corporate profits. However, in cloud computing environment, the evaluation process of supply chain partner selection is dynamic and fuzzy, and its evaluation index is uncertain. To solve these problems, this paper proposes a new method combed with rough number, best-worst multicriteria decision-making method (BWM), and compromise ranking method (VIKOR). Firstly, Rough number is used to integrate data from different evaluation matrix. Secondly, rough number improves a new method, BWM, to get RBWM criteria weight methods. Thirdly, the rough numbers are introduced into VIKOR and combined with RBWM to evaluate and sort the supply chain partners. Finally, an example is given to demonstrate the rationality and feasibility of the method.

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“…Feng et al [43] combine DEMATEL, analytical network process (ANP), and interval VIKOR to solve the product optimization problem. Hajek and Froelich [45] proposed an integrating of OPSIS with interval-valued intuitionistic fuzzy cognitive maps for effective group decision making.…”

Section: Introductionmentioning

confidence: 99%

“…More especially they consider the MCDM problems with ranked criteria. A solving method based on digraphs and fuzzy measures was proposed by them.Although in uncertain MCDM problems, focusing on interval numbers has been less than fuzzy numbers, but useful researches have been done in this case [35][36][37][38][39][40][41][42][43]. In a presented paper by Yue [35], the TOPSIS method was developed to solve interval GMCDM problems.…”

mentioning

confidence: 99%

Weight determination and ranking priority in interval group MCDM

2019

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In this study, we propose a method to determine the weight of decision makers (DMs) in group multiple criteria decision making (GMCDM) problems with interval data . Here, we obtain an interval weight for each DM and then the relative closeness of each decision from the negative ideal solution (NIS) and the positive ideal solution (PIS) is then computed. In the proposed method, after weighting the decision matrix of each DM, the alternatives are ranked using interval arithmetic. A comparative example along with a real world problem on air quality assessment is given to illustrate our method. Technique (SMART) method [12] which asks for direct ratings on a scale from 0 to 100 and the Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) method [13] which requires pairwise comparisons on an interval. The other method is ELimination Et Choix Traduisant la REalité (ELECTRE) which has different types. It is worthy to mention that the study of Govindan and Jespen [14] is a comprehensive source of ELECTRE and ELECTRE-based methods. Their study considers different types of ELECTRE methods and compares, modifies and defines the area of applications of each method. Recently, Ishizaka and Siraj [15] evaluated AHP, SMART and MAGBETH for a real MCDM problem. The authors investigate whether these three methods really help the DMs or not. The assessment of public transport satisfaction investigated by Nassereddine and Eskandari [16]. For this purpose, the authors employ an integrated MCDM technique. Their method is a combination of Delphi, group AHP (GAHP) and Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE). A method based on TOPSIS and entropy proposed by Abdollahi et al. [17] to rank multifarious Demand Response Resources (DRRs). To be noted that the MCDM models are widely used in systems engineering [18-22].Frankly speaking, most of the above mentioned methods include one DM while real life problems have different managerial, engineering, social and etc. aspects and they usually deal with a group of DMs. Papers such as [23-29] have presented methods to solve GMCDM problems. These methods have considered the cases that data are exact and have crisp values. But, in most real world problems the decision information are expressed as interval or fuzzy numbers [30]. Nowadays, the Fuzzy MCDM (FMCDM) problems play an important role in industrial and system engineering. An extension of fuzzy VIKOR to solve Supplier Selection Problem (SSP) was presented by Mahmoudi et al. [31]. In their method a fuzzy distance measure is proposed to rank the suppliers. Besides, they consider unequal weights for DMs and the performance of each supplier under each criteria is represented by a linguistic variable. Finally the alternatives are ranked using preference ration method. An MCDM problem with stochastic and intuitionistic data was proposed by Hu et al. [32]. The problem of dam site selection was considered as a Group FMCDM (GFMCDM) by Minatour et al. [33]. To solve the problem an integrati...

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Environmentally friendly MCDM of reliability-based product optimisation combining DEMATEL-based ANP, interval uncertainty and Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR)

Cited by 89 publications

References 46 publications

An Integrated Multi-Criteria Decision-Making Model Based on Prospect Theory for Green Supplier Selection under Uncertain Environment: A Case Study of the Thailand Palm Oil Products Industry

An Integrated Multi-Criteria Decision-Making Model Based on Prospect Theory for Green Supplier Selection under Uncertain Environment: A Case Study of the Thailand Palm Oil Products Industry

Supply Chain Partner Selection under Cloud Computing Environment: An Improved Approach Based on BWM and VIKOR

Weight determination and ranking priority in interval group MCDM

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