Supplier evaluation based on Nash bargaining game model

Wang, Meiqiang; Li, Yongjun

doi:10.1016/j.eswa.2013.12.044

Cited by 45 publications

(8 citation statements)

References 13 publications

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“…Therefore, all inputs and outputs of the DMUs are put in a matrix and the calculations are performed. The other researchers such as Adler et al (2002), Wang et al (2007), Jahanshahloo et al (2008), HosseinzadehLotfi et al (2011, 2013), Wang and Li (2014), Oukil and Amin (2015) discussed this problem.…”

Section: Methodsmentioning

confidence: 99%

A new approach for ranking efficient DMUs with data envelopment analysis

Banihashemi

Khalilzadeh

2020

WJE

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Purpose Classical models of data envelopment analysis (DEA) calculate the efficiency of decision-making units do not differentiate between efficient units. The purpose of this paper is to present a new method for ranking efficient units and compare it with the other methods presented in this field. Design/methodology/approach In this paper, a new method is presented for ranking efficient units. To validate the proposed method, a real case, which was studied by Li et al. (2016) is examined and the rankings of the efficient units are compared with four other methods including the Andersen and Petersen’s super-efficiency, game theory and the concept of Shapley value and the technique for order of preference by similarity to ideal solution methods. Findings The results show that there is a high correlation between the rankings of efficient units obtained by the new proposed method and the other methods such as Andersen and Petersen’s super-efficiency, game theory and Shapley value methods. Originality/value The problem of ranking efficient units with the DEA method is an important issue for researchers. Extensive studies have been proposed to provide methods for ranking efficient units. This paper proposes a simple and fast method for ranking efficient units that achieves better results.

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Section: Methodsmentioning

confidence: 99%

A new approach for ranking efficient DMUs with data envelopment analysis

Banihashemi

Khalilzadeh

2020

WJE

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“…Deng et al (2014) investigated an integrated supplier selection model simultaneously considering suppliers of sourcing components in a product line. Wang and Li (2014) applied Nash bargaining game DEA model to consider the competition between suppliers with common weights comparing to traditional DEA method with various weights. Sheikhalishahi and Torabi (2014) addressed the maintenance supplier selection problem for a manufacturer to decide the purchasing of different replaceable parts for equipment's maintenance.…”

Section: Literature Reviewmentioning

confidence: 99%

A Pareto supplier selection algorithm for minimum the life cycle cost of complex product system

Guo

Huang

et al. 2015

Expert Systems with Applications

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“…The game theory and Nash bargaining solution have been used in many types of research. The Nash bargaining game data envelopment analysis (DEA) model was applied to supplier evaluation because the traditional DEA method adopts varying weights in the evaluation and fails to consider competition among the suppliers (Wang and Li, 2014). The Nash bargaining model has been applied to find a compromise solution among agents, and linear programming and interval coefficients have been used to find the best and the worst Nash bargaining solution (Safari et al, 2018).…”

Section: Game Theorymentioning

confidence: 99%

A game theory approach to selecting marketing-mix strategies

Abedian

Amindoust

Maddahi

et al. 2021

JAMR

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PurposeAdopting efficient marketing strategies is a challenging task in a competitive market place involving complex marketing planning, techniques and mechanisms to identify the best course of action under these circumstances and finding optimal solutions or stable outcomes. Decisions and strategies of competitors in the market influence the selection of the appropriate marketing strategy. The main purpose of this paper is to develop a mathematical methodology based on the game theory approach for planning optimal marketing-mix strategies in dynamic competitive markets, taking into account strategic foresight and interaction effects.Design/methodology/approachThe game theory approach, as a decision-making tool in conflict situations, is suggested for planning and adopting optimal marketing strategy. The main intellectual attraction of the game theory is essentially a question of how to act in gaming situations against highly rational opponents A kind of static, finite and non-cooperative game analytics approach has been developed for this issue, and the proposed model has been implemented to design optimal marketing strategies for two top brands of the automotive parts market in Iran.FindingsThe findings of this study show that the optimal marketing-mix strategy for brand A is pricing and for brand B is the product strategy.Practical implicationsGame theory and the Nash equilibrium model can provide a practical approach to find and adopt the right strategy, know competitors' movements and strategies and get more profit.Originality/valueThe integration of the game theory approach into the marketing mix framework has been adopted as a generalized model for marketing strategy planning and analysis as well as to resolve some shortcomings of the marketing mix framework. The Nash equilibrium model has been used to analyze the results. The incorporation of game theory into marketing models has the potential to enrich the scope of marketing modeling.

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Supplier evaluation based on Nash bargaining game model

Cited by 45 publications

References 13 publications

A new approach for ranking efficient DMUs with data envelopment analysis

A new approach for ranking efficient DMUs with data envelopment analysis

A Pareto supplier selection algorithm for minimum the life cycle cost of complex product system

A game theory approach to selecting marketing-mix strategies

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