A hybrid model using analytic network process and gray relational analysis for bank's IT outsourcing vendor selection

Kybernetes ◽  
2012 ◽  
Vol 41 (7/8) ◽  
pp. 994-1013 ◽  
Author(s):  
Jie Cao ◽  
Guo Cao ◽  
Weiwei Wang
Author(s):  
Mohamed Lahby ◽  
Leghris Cherkaoui ◽  
Abdellah Adib

In this work, the authors have proposed a new technique for network selection decision. This technique combines two multi attribute decision making (MADM) methods. The analytic network process (ANP) method to find the differentiate weights of available networks by considering each criterion and the grey relational analysis (GRA) method to rank the alternatives. To show the effectiveness of our technique we have presented the simulation results of four traffic classes namely background, conversational, interactive and streaming.


2015 ◽  
Vol 5 (1) ◽  
pp. 117-126 ◽  
Author(s):  
Chuanmin Mi ◽  
Weiguo Xia

Purpose – No matter in product design stage or product quality improvement stage, the product technical requirements (PTRs) impacting on product performance are mainly identified and improved to optimize customer needs (CNs) as greatly as possible. The purpose of this paper is to use a new approach to accurately and properly prioritize PTRs in Quality Function Deployment (QFD). Design/methodology/approach – Considering the relationship between CNs and PTRs in QFD hard to quantitatively measure and lack of adequate information, the grey relational analysis (GRA) is applied. Besides, owing to the inherent inner dependencies of CNs as well as QFD, the analytic network process (ANP) which is an effective tool to take into account the inner dependencies with network is utilized. Finally, an integrated framework based on GRA method and ANP approach is proposed to determine the importance degrees of PTRs in designing a product. Findings – The calculation results of the application show that the proposed framework by integrating GRA and ANP is able to determine the importance degrees of PTRs in design a product well. Practical implications – In the application part the authors can see the proposed framework can be applied to PVC window systems. Owing to that traditional QFD method has been widely used in many fields such as manufacturing industry and service industry, actually the proposed framework has great potential application in the real word. Originality/value – This paper succeeds in proposing a new framework by integrating GRA and ANP to determine the importance degrees of PTRs in QFD.


2013 ◽  
Vol 1 (1) ◽  
pp. 153 ◽  
Author(s):  
Massoud Kassaee ◽  
Mojtaba Farrokh ◽  
Hassan Hosseini Nia

Vendor selection is an important issue in most company based on many criteria that includes ambiguous or uncertain data. Therefore in the study, it is essential that fuzzy approach is employed for coping with the uncertainty and achieving more accurate results. In other hand, the relationships between criteria and sub-criteria are complex; for encompassing the complexity, most conventional decision models cannot help us explain the interrelationships among the criteria. In this paper, a hybrid multi-criteria decision making (MCDM) technique is proposed to determine the structural relationships and the interrelationships among all the evaluation’s dimensions based the Analytic Network Process (ANP) method determining appropriate weightings to each sub-criterion. Then alternatives priority should be determined which can aid the decision making. For the purpose, The TOPSIS (technique for order performance by similarity to idea solution) is used to rank all competing alternatives in terms of their overall performances. In MCDM studies and research, applying TOPSIS in ranking alternatives has recently been customary because of its advantages. In the end, a case study of an Iranian company, in automotive industry, is demonstrated to illustrate the proposed model can improve solving of vendor selection problem.


2018 ◽  
Vol 17 (04) ◽  
pp. 1147-1172 ◽  
Author(s):  
Pedro Jose Gudiel Pineda ◽  
Chao-Che Hsu ◽  
James J. H. Liou ◽  
Huai-Wei Lo

There are several factors that need to be considered in fleet management when it is necessary to resolve disturbances which necessitate aircraft re-assignment due to flight cancellations, making this a multiple-criteria decision-making problem. A change in the type of aircraft assigned can lead to additional alterations as well as directly affecting connecting flights and interconnected schedules serving specific flight segments. Decision-making is crucial and involves the consideration of complex cost effects, with possible disruptive actions evaluated according to the priorities of airline management and the available resources. Airline managers require a practical and flexible tool to help them make appropriate decisions in a rapidly changing and highly competitive environment. Differing from prior studies using mathematical programming, we propose a hybrid model based on the decision-making trial and evaluation laboratory method and the concepts of analytic network process (DANP) to aid in the decision-making process. We also recommend using the VIKOR method to select the most appropriate alternatives, with the corresponding weights obtained using the DANP method. The efficiency and effectiveness of the proposed method is demonstrated by testing it on a real-world flight cancellation case and in consultation with experts. The results show that this hybrid model is an effective resource that airline managers can use to address and resolve aircraft re-assignment irregularities.


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