Global supplier selection using fuzzy analytic hierarchy process and fuzzy goal programming

2009 ◽  
Vol 44 (4) ◽  
pp. 623-640 ◽  
Author(s):  
Cheng-Yuan Ku ◽  
Ching-Ter Chang ◽  
Hui-Ping Ho
Keyword(s):  
Analytic Hierarchy Process ◽  
Goal Programming ◽  
Supplier Selection ◽  
Fuzzy Goal Programming ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Fuzzy Goal ◽  
Global Supplier ◽  
Hierarchy Process

WEIGHTED PRIORITIZATION MODELS IN THE FUZZY ANALYTIC HIERARCHY PROCESS

2011 ◽  
Vol 10 (04) ◽  
pp. 681-694 ◽  
Author(s):  
LUDMIL MIKHAILOV ◽  
HOSEIN DIDEHKHANI ◽  
SOHEIL SADI-NEZHAD
Keyword(s):  
Analytic Hierarchy Process ◽  
Goal Programming ◽  
Programming Model ◽  
Fuzzy Analytic Hierarchy Process ◽  
Linear Programs ◽  
Analytic Hierarchy ◽  
Goal Programming Model ◽  
Ranking Of Alternatives ◽  
Fuzzy Goal ◽  
Hierarchy Process

The paper deals with the group prioritization problem in the fuzzy analytic hierarchy process. We extend the fuzzy preference programming method to fuzzy group prioritization by introducing important weights of decision-makers (DMs). The modified prioritization problem is represented as a weighted fuzzy goal programming model. Additionally, we represent the uncertain DMs' importance weights as fuzzy numbers and modify the goal programming model by a possibilistic approach. Both proposed models transform the initial prioritization problems with fuzzy or crisp important weights into equivalent crisp linear programs. Unlike the known fuzzy prioritization methods, the proposed approach does not require an additional defuzzification procedure for final ranking of alternatives and can deal with incomplete set of comparison judgments.

scholarly journals Multi-criteria supplier selection using fuzzy analytic hierarchy process: case study from a Brazilian railway operator

2017 ◽  
Vol 14 (3) ◽  
pp. 428 ◽  
Author(s):  
Rodrigo Barbosa de Santis ◽  
Leonardo Golliat ◽  
Eduardo Pestana de Aguiar
Keyword(s):  
Supply Chain ◽  
Analytic Hierarchy Process ◽  
Operations Management ◽  
Supplier Selection ◽  
Standard Procedure ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
And Performance ◽  
Hierarchy Process

The supplier selection problem has been discussed in literature within the supply chain management subject and it is extremely important due to its impact on the entire supply chain configuration, strategy and performance. This work presents a decision model based on the fuzzy analytic hierarchy process method and its application in a real case of maintenance supplier selection in a large Brazilian railway operator. Eight criteria were adopted - technical capacity, financial status, relationship, operations management, security management, infrastructure, historic performance and costs - for evaluating five potential suppliers. In the case study, both first and second ranked suppliers by the method have been selected by the company for providing the services and the model was adopted as a standard procedure within the organization for contracts over US$ 300,000.

scholarly journals DEVELOPMENT OF AN INTEGRATED DISCOUNTING STRATEGY BASED ON VENDORS’ EXPECTATIONS USING FAHP AND FUZZY GOAL PROGRAMMING

2017 ◽  
Vol 24 (2) ◽  
pp. 635-652 ◽  
Author(s):  
Irem UCAL SARI
Keyword(s):  
Market Share ◽  
Goal Programming ◽  
Numerical Study ◽  
Fuzzy Goal Programming ◽  
Discount Rates ◽  
Analytic Hierarchy ◽  
Total Profit ◽  
Fuzzy Goal ◽  
Hierarchy Process

The main goal of a company is to increase its market share and total profits at the same time. However, these two objectives conflict if discount rates are applied to vendors. The objective of this paper is to develop an integrated discounting strategy method to effectively manage the trans­actions of the vendors by determining the optimum discount rates which balance the increase on the market share and the total profit. With the proposed methodology which utilizes fuzzy analytic hierarchy process and fuzzy goal programming, determination of the discount rates of each vendor under different discounting strategies is facilitated. This enables the vendors to choose the most suitable discounting strategy with the best applicable discount rate and enables the managers to predict the transactions of the vendors. The proposed method is validated with a numerical study conducted on a pilot region of an international company.

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