scholarly journals Closeness Degree-Based Hesitant Trapezoidal Fuzzy Multicriteria Decision Making Method for Evaluating Green Suppliers with Qualitative Information

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Xiaolu Zhang ◽  
Touping Yang ◽  
Wei Liang ◽  
Meifang Xiong
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Food Supply ◽  
Multicriteria Decision Making ◽  
Ideal Solution ◽  
Qualitative Information ◽  
Food Supply Chain ◽  
Complete Evaluation ◽  
Multicriteria Decision ◽  
Green Suppliers

The aim of this study is to develop a new closeness degree-based hesitant trapezoidal fuzzy (HTrF) multicriteria decision making (MCDM) approach for identifying the most appropriate green suppliers in food supply chain involving uncertain qualitative evaluation information. The uniqueness of the proposed HTrF MCDM method is the consideration of uncertain qualitative information represented by flexible linguistic expressions based on HTrF values and the construction of compromise solution with the revised closeness degree. The revised closeness degree can make sure that the most appropriate solution has the shortest distance from the HTrF positive ideal solution and the farthest distance from the HTrF negative ideal solution, simultaneously. This proposed HTrF MCDM technique not only offers a simple and efficient decision support tool to aid the food firms for identifying the optimal suppliers in food supply chain but also can enable the managers of food firms to better understand the complete evaluation and decision processes. In addition, this study provides a novel defuzzification technique to manage the HTrF weights values of main-criteria and subcriteria, respectively.

Fuzzy multicriteria decision-making-based optimal Zn–Al alloy selection in corrosive environment

2020 ◽  
Vol 111 (11) ◽  
pp. 953-963
Author(s):  
Ankur V. Bansod ◽  
Awanikumar P. Patil ◽  
Kanak Kalita ◽  
B. D. Deshmukh ◽  
Nilay Khobragade
Keyword(s):  
Decision Making ◽  
Weight Loss ◽  
Multicriteria Decision Making ◽  
Decision Makers ◽  
Al Alloy ◽  
Ideal Solution ◽  
Corrosive Environment ◽  
Multicriteria Decision ◽  
Al Content ◽  
The Ideal

Abstract Suitable material selection with emphasis on a specific property or application is an indispensable part of engineering sciences. It is a complex process that involves multiple criteria and often multiple decision makers. The tendency of decision makers to specify their preference in terms of imprecise qualitative statements like ‘good’, ‘bad’ etc. poses a further challenge. Thus, in this research, a comprehensive multicriteria decision-making study was conducted to select the optimal Zn-Al alloy based on performance in a corrosive environment. Four variants of technique for order of preference by similarity to the ideal solution were used to perform the multicriteria decision-making analysis. Group decision and imprecise decision making is handled by incorporating the fuzzy theory concept in a technique for order of preference by similarity to the ideal solution. The effect of addition of aluminium to zinc was studied by examination of microstructure, hardness, and corrosion behaviour. The result indicates that an increase in Al content increases the formation of dendrites. The dendrites were rich in the α phase, which results in an increase in hardness. An increase in Al content in Zn (Zn-22Al and Zn-55Al) results in the uniform distribution of the a phase in the microstructure and reduction of non-equilibrium phases. The potentiodynamic polarisation test revealed that an increase in Al in the alloy decreases the corrosion current density. The weight loss test carried out to validate the potentiodynamic test findings exhibited higher weight loss in pure Zn and lowest in Zn-55Al. Similar results were observed in the salt spray test. The multicriteria decision-making analysis revealed that Zn-55Al is the most suitable alloy in a corrosive environment among the tested alloys.

Food tracking and blockchain-induced knowledge: a corporate social responsibility tool for sustainable decision-making

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christian Rainero ◽  
Giuseppe Modarelli
Keyword(s):  
Decision Making ◽  
Corporate Social Responsibility ◽  
Supply Chain ◽  
Social Responsibility ◽  
Food Supply ◽  
Field Analysis ◽  
Food Supply Chain ◽  
Content Type ◽  
Theoretical Contribution ◽  
Corporate Social

PurposeIn the disruptive technologies era, the lack of convincing business cases on blockchain (BC) adoption about food supply chain, the existence of uncertainties and barriers to adoption due to knowledge scarcity on characteristics as well as the potentialities and risks involved in it, have triggered the need to investigate the first multinational BC adoption for food supply chain in Europe, to consider how it can guarantee knowledge for the consumption/purchase decision-making and the creation-mechanism of consciousness for sustainable behavioral choice.Design/methodology/approachThe authors provide a field exploratory analysis based on customers' perceptions and real knowledge about BC (as a knowledge-constructive tool) in the food and beverage sector. This connected with the need for an informed context, favoring sustainable conscious decision-making related to both the food chain and innovation acceptance. This analysis included the use of innovation acceptance as a corporate social responsibility (CSR) strategic orientation through a survey- and interview-based field analysis (80 respondents).FindingsThe findings of this study can be considered as antecedents of innovation acceptance in the sector. The analysis assesses consumers' scarce knowledge and perceptions on the BC system, the scarce usage level and the higher acquiring propensity for traceable foodstuffs generating bi-directional/dimensional value, considering that consumption habits could change through security and certainty antecedents and induced knowledge provided by external technological intervention.Originality/valueBy trying to match innovation and the knowledge-construction need as a vehicle for acceptance, the theoretical contribution would empower the literature on food traceability from the perspective of strategic BC application through a from-knowledge-to-knowledge strategy.

scholarly journals A Study of Multicriteria Decision Making for Supplier Selection in Automotive Industry

2013 ◽  
Vol 2013 ◽  
pp. 1-22 ◽  
Author(s):  
Nadia Jamil ◽  
Rosli Besar ◽  
H. K. Sim
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Supplier Selection ◽  
Selection Process ◽  
Multicriteria Decision Making ◽  
Ideal Solution ◽  
Fuzzy Analytical Hierarchy Process ◽  
Automotive Manufacturing ◽  
Multicriteria Decision ◽  
Hierarchy Process

This paper is designed to present the effectiveness of group multicriteria decision making in automotive manufacturing company focusing on the selection of suppliers in Malaysia. The process of selecting suppliers is one of the most critical and challenging endeavor in any supply chain management. There are five decision making tools being analyzed in this study, namely, analytical hierarchy process (AHP), fuzzy analytical hierarchy process (FAHP), technique for order performance by similarity to ideal solution (TOPSIS), fuzzy technique for order performance by similarity to ideal solution (FTOPSIS), and fuzzy analytical hierarchy process integrated with fuzzy technique for order performance by similarity to ideal solution (FAHPiFTOPSIS). The scores of ranking among the suppliers in each MCDM tools (AHP, FAHP, TOPSIS, FTOPSIS, and FAHPiFTOPSIS) show significantly comparable variation. Scores of the best supplier is then compared to the lowest supplier for all MCDM tools whereby this reflects that the highest percentage goes to TOPSIS with scoring of 79.37%. On the contrary, FAHPiFTOPSIS demonstrated the lowest score variation of 22.42% which indicates that FAHPiFTOPSIS is able to eliminate biasness in supplier selection process.

scholarly journals Research on Cooperation Strategy of Enterprises’ Quality and Safety in Food Supply Chain

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Jining Wang ◽  
Tingqiang Chen ◽  
Junyong Wang
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Food Safety ◽  
Social Welfare ◽  
Food Supply ◽  
Evolutionary Game ◽  
Quality And Safety ◽  
Food Supply Chain ◽  
The Social ◽  
Cooperation Strategy

In order to prevent and control risk factors which harm the quality and safety of the food supply chain effectively and reduce the probability of food safety incidents, this paper investigated on some problems of the upstream and downstream enterprises of the food supply chain under the three different forms of cooperation based on the neoclassic economics and game theory method. These problems include the effectiveness of the quality and safety efforts, the profits, the effect of the losses that the food safety incidents caused on the quality efforts’ efficacy, and the social welfare comparison. Meanwhile, we constructed evolutionary game model to analyze the macro and micro factors that influenced the cooperation strategy and demonstrated the effect of diversity of decision-making parameters on evolution results based on numerical simulation. By the theoretical and simulation analysis, we found that (1) the quality efforts’ efficacy, the profits, the sensitivity coefficient of the quality efforts efficiency to the losses, and the social welfare without thinking about the externality all met their maximum under the full cooperation situation; (2) strengthening supervision over the source of the food supply chain can reduce the probability of food safety incidents; (3) macro and micro environment will be the important basis for companies’ decision-making on cooperation strategy in the food supply chain.

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